├── .github └── workflows │ └── python-publish.yml ├── .gitignore ├── Dockerfile ├── LICENSE ├── README.md ├── pyproject.toml ├── runtime_config.json └── src └── mcp_snowflake_server ├── __init__.py ├── db_client.py ├── server.py └── write_detector.py /.github/workflows/python-publish.yml: -------------------------------------------------------------------------------- 1 | # This workflow will upload a Python Package to PyPI when a release is created 2 | # For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python#publishing-to-package-registries 3 | 4 | # This workflow uses actions that are not certified by GitHub. 5 | # They are provided by a third-party and are governed by 6 | # separate terms of service, privacy policy, and support 7 | # documentation. 8 | 9 | name: Upload Python Package 10 | 11 | on: 12 | release: 13 | types: [published] 14 | 15 | permissions: 16 | contents: read 17 | 18 | jobs: 19 | release-build: 20 | runs-on: ubuntu-latest 21 | 22 | steps: 23 | - uses: actions/checkout@v4 24 | 25 | - uses: actions/setup-python@v5 26 | with: 27 | python-version: "3.x" 28 | 29 | - name: Install uv 30 | run: | 31 | curl -LsSf https://astral.sh/uv/install.sh | sh 32 | echo "$HOME/.local/bin" >> $GITHUB_PATH 33 | 34 | - name: Build release distributions 35 | run: | 36 | uv build 37 | 38 | - name: Upload distributions 39 | uses: actions/upload-artifact@v4 40 | with: 41 | name: release-dists 42 | path: dist/ 43 | 44 | pypi-publish: 45 | runs-on: ubuntu-latest 46 | needs: 47 | - release-build 48 | permissions: 49 | # IMPORTANT: this permission is mandatory for trusted publishing 50 | id-token: write 51 | 52 | # Dedicated environments with protections for publishing are strongly recommended. 53 | # For more information, see: https://docs.github.com/en/actions/deployment/targeting-different-environments/using-environments-for-deployment#deployment-protection-rules 54 | environment: 55 | name: pypi 56 | # OPTIONAL: uncomment and update to include your PyPI project URL in the deployment status: 57 | # url: https://pypi.org/p/YOURPROJECT 58 | # 59 | # ALTERNATIVE: if your GitHub Release name is the PyPI project version string 60 | # ALTERNATIVE: exactly, uncomment the following line instead: 61 | # url: https://pypi.org/project/YOURPROJECT/${{ github.event.release.name }} 62 | 63 | steps: 64 | - name: Retrieve release distributions 65 | uses: actions/download-artifact@v4 66 | with: 67 | name: release-dists 68 | path: dist/ 69 | 70 | - name: Publish release distributions to PyPI 71 | uses: pypa/gh-action-pypi-publish@release/v1 72 | with: 73 | packages-dir: dist/ 74 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | logs/* 2 | .env 3 | .venv 4 | .python-version 5 | uv.lock 6 | src/mcp_snowflake_server/__pycache__ 7 | **/.DS_Store 8 | # dist -------------------------------------------------------------------------------- /Dockerfile: -------------------------------------------------------------------------------- 1 | # Use Python 3.12 as the base image 2 | FROM python:3.12-slim 3 | 4 | # Set working directory 5 | WORKDIR /app 6 | 7 | # Install system dependencies 8 | RUN apt-get update && apt-get install -y \ 9 | gcc \ 10 | && rm -rf /var/lib/apt/lists/* 11 | 12 | # Copy project files 13 | COPY pyproject.toml . 14 | COPY README.md . 15 | COPY runtime_config.json . 16 | COPY src/ src/ 17 | 18 | # Install project dependencies 19 | RUN pip install --no-cache-dir . 20 | 21 | # Set environment variables 22 | ENV PYTHONPATH=/app 23 | 24 | # Create a directory for logs 25 | RUN mkdir -p /app/logs 26 | 27 | # Set the entrypoint to handle all arguments 28 | ENTRYPOINT ["mcp_snowflake_server"] 29 | 30 | # Default command (can be overridden) 31 | CMD ["--account", "your_account", \ 32 | "--warehouse", "your_warehouse", \ 33 | "--user", "your_user", \ 34 | "--password", "your_password", \ 35 | "--role", "your_role", \ 36 | "--database", "your_database", \ 37 | "--schema", "your_schema"] 38 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. 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But first, please read 674 | . -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | [![MseeP.ai Security Assessment Badge](https://mseep.net/pr/isaacwasserman-mcp-snowflake-server-badge.png)](https://mseep.ai/app/isaacwasserman-mcp-snowflake-server) 2 | 3 | # Snowflake MCP Server 4 | 5 | [![smithery badge](https://smithery.ai/badge/mcp_snowflake_server)](https://smithery.ai/server/mcp_snowflake_server) [![PyPI - Version](https://img.shields.io/pypi/dm/mcp-snowflake-server?color&logo=pypi&logoColor=white&label=PyPI%20downloads)](https://pypi.org/project/mcp-snowflake-server/) 6 | 7 | --- 8 | 9 | ## Overview 10 | A Model Context Protocol (MCP) server implementation that provides database interaction with Snowflake. This server enables running SQL queries via tools and exposes data insights and schema context as resources. 11 | 12 | --- 13 | 14 | ## Components 15 | 16 | ### Resources 17 | 18 | - **`memo://insights`** 19 | A continuously updated memo aggregating discovered data insights. 20 | Updated automatically when new insights are appended via the `append_insight` tool. 21 | 22 | - **`context://table/{table_name}`** 23 | (If prefetch enabled) Per-table schema summaries, including columns and comments, exposed as individual resources. 24 | 25 | --- 26 | 27 | ### Tools 28 | 29 | The server exposes the following tools: 30 | 31 | #### Query Tools 32 | 33 | - **`read_query`** 34 | Execute `SELECT` queries to read data from the database. 35 | **Input:** 36 | - `query` (string): The `SELECT` SQL query to execute 37 | **Returns:** Query results as array of objects 38 | 39 | - **`write_query`** (enabled only with `--allow-write`) 40 | Execute `INSERT`, `UPDATE`, or `DELETE` queries. 41 | **Input:** 42 | - `query` (string): The SQL modification query 43 | **Returns:** Number of affected rows or confirmation 44 | 45 | - **`create_table`** (enabled only with `--allow-write`) 46 | Create new tables in the database. 47 | **Input:** 48 | - `query` (string): `CREATE TABLE` SQL statement 49 | **Returns:** Confirmation of table creation 50 | 51 | #### Schema Tools 52 | 53 | - **`list_databases`** 54 | List all databases in the Snowflake instance. 55 | **Returns:** Array of database names 56 | 57 | - **`list_schemas`** 58 | List all schemas within a specific database. 59 | **Input:** 60 | - `database` (string): Name of the database 61 | **Returns:** Array of schema names 62 | 63 | - **`list_tables`** 64 | List all tables within a specific database and schema. 65 | **Input:** 66 | - `database` (string): Name of the database 67 | - `schema` (string): Name of the schema 68 | **Returns:** Array of table metadata 69 | 70 | - **`describe_table`** 71 | View column information for a specific table. 72 | **Input:** 73 | - `table_name` (string): Fully qualified table name (`database.schema.table`) 74 | **Returns:** Array of column definitions with names, types, nullability, defaults, and comments 75 | 76 | #### Analysis Tools 77 | 78 | - **`append_insight`** 79 | Add new data insights to the memo resource. 80 | **Input:** 81 | - `insight` (string): Data insight discovered from analysis 82 | **Returns:** Confirmation of insight addition 83 | **Effect:** Triggers update of `memo://insights` resource 84 | 85 | --- 86 | 87 | ## Usage with Claude Desktop 88 | 89 | ### Installing via Smithery 90 | 91 | To install Snowflake Server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/mcp_snowflake_server): 92 | 93 | ```bash 94 | npx -y @smithery/cli install mcp_snowflake_server --client claude 95 | ``` 96 | 97 | --- 98 | 99 | ### Installing via UVX 100 | 101 | ```json 102 | "mcpServers": { 103 | "snowflake_pip": { 104 | "command": "uvx", 105 | "args": [ 106 | "--python=3.12", // Optional: specify Python version <=3.12 107 | "mcp_snowflake_server", 108 | "--account", "your_account", 109 | "--warehouse", "your_warehouse", 110 | "--user", "your_user", 111 | "--password", "your_password", 112 | "--role", "your_role", 113 | "--database", "your_database", 114 | "--schema", "your_schema" 115 | // Optionally: "--allow_write" 116 | // Optionally: "--log_dir", "/absolute/path/to/logs" 117 | // Optionally: "--log_level", "DEBUG"/"INFO"/"WARNING"/"ERROR"/"CRITICAL" 118 | // Optionally: "--exclude_tools", "{tool_name}", ["{other_tool_name}"] 119 | ] 120 | } 121 | } 122 | ``` 123 | 124 | --- 125 | 126 | ### Installing Locally 127 | 128 | 1. Install [Claude AI Desktop App](https://claude.ai/download) 129 | 130 | 2. Install `uv`: 131 | 132 | ```bash 133 | curl -LsSf https://astral.sh/uv/install.sh | sh 134 | ``` 135 | 136 | 3. Create a `.env` file with your Snowflake credentials: 137 | 138 | ```bash 139 | SNOWFLAKE_USER="xxx@your_email.com" 140 | SNOWFLAKE_ACCOUNT="xxx" 141 | SNOWFLAKE_ROLE="xxx" 142 | SNOWFLAKE_DATABASE="xxx" 143 | SNOWFLAKE_SCHEMA="xxx" 144 | SNOWFLAKE_WAREHOUSE="xxx" 145 | SNOWFLAKE_PASSWORD="xxx" 146 | # Alternatively, use external browser authentication: 147 | # SNOWFLAKE_AUTHENTICATOR="externalbrowser" 148 | ``` 149 | 150 | 4. [Optional] Modify `runtime_config.json` to set exclusion patterns for databases, schemas, or tables. 151 | 152 | 5. Test locally: 153 | 154 | ```bash 155 | uv --directory /absolute/path/to/mcp_snowflake_server run mcp_snowflake_server 156 | ``` 157 | 158 | 6. Add the server to your `claude_desktop_config.json`: 159 | 160 | ```json 161 | "mcpServers": { 162 | "snowflake_local": { 163 | "command": "/absolute/path/to/uv", 164 | "args": [ 165 | "--python=3.12", // Optional 166 | "--directory", "/absolute/path/to/mcp_snowflake_server", 167 | "run", "mcp_snowflake_server" 168 | // Optionally: "--allow_write" 169 | // Optionally: "--log_dir", "/absolute/path/to/logs" 170 | // Optionally: "--log_level", "DEBUG"/"INFO"/"WARNING"/"ERROR"/"CRITICAL" 171 | // Optionally: "--exclude_tools", "{tool_name}", ["{other_tool_name}"] 172 | ] 173 | } 174 | } 175 | ``` 176 | 177 | --- 178 | 179 | ## Notes 180 | 181 | - By default, **write operations are disabled**. Enable them explicitly with `--allow-write`. 182 | - The server supports filtering out specific databases, schemas, or tables via exclusion patterns. 183 | - The server exposes additional per-table context resources if prefetching is enabled. 184 | - The `append_insight` tool updates the `memo://insights` resource dynamically. 185 | 186 | --- 187 | 188 | ## License 189 | 190 | MIT 191 | -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [project] 2 | name = "mcp_snowflake_server" 3 | version = "0.4.0" 4 | description = "A simple Snowflake MCP server" 5 | readme = "README.md" 6 | requires-python = ">=3.10,<3.13" 7 | dependencies = [ 8 | "mcp>=1.0.0", 9 | "snowflake-connector-python[pandas]>=3.12.0,<3.14.0", 10 | "pandas>=2.2.3", 11 | "python-dotenv>=1.0.1", 12 | "sqlparse>=0.5.3", 13 | "snowflake-snowpark-python>=1.26.0", 14 | ] 15 | 16 | [build-system] 17 | requires = ["hatchling"] 18 | build-backend = "hatchling.build" 19 | 20 | [tool.uv] 21 | dev-dependencies = ["pyright>=1.1.389"] 22 | 23 | [project.scripts] 24 | mcp_snowflake_server = "mcp_snowflake_server:main" 25 | 26 | [tool.hatch.build.targets.wheel] 27 | packages = ["src/mcp_snowflake_server"] 28 | -------------------------------------------------------------------------------- /runtime_config.json: -------------------------------------------------------------------------------- 1 | { 2 | "exclude_patterns": { 3 | "databases": [ 4 | "temp" 5 | ], 6 | "schemas": [ 7 | "temp", 8 | "information_schema" 9 | ], 10 | "tables": [ 11 | "temp" 12 | ] 13 | } 14 | } 15 | -------------------------------------------------------------------------------- /src/mcp_snowflake_server/__init__.py: -------------------------------------------------------------------------------- 1 | import argparse 2 | import asyncio 3 | import os 4 | 5 | import dotenv 6 | import snowflake.connector 7 | 8 | from . import server 9 | 10 | 11 | def parse_args(): 12 | parser = argparse.ArgumentParser() 13 | 14 | # Add arguments 15 | parser.add_argument( 16 | "--allow_write", required=False, default=False, action="store_true", help="Allow write operations on the database" 17 | ) 18 | parser.add_argument("--log_dir", required=False, default=None, help="Directory to log to") 19 | parser.add_argument("--log_level", required=False, default="INFO", help="Logging level") 20 | parser.add_argument( 21 | "--prefetch", 22 | action="store_true", 23 | dest="prefetch", 24 | default=False, 25 | help="Prefetch table descriptions (when enabled, list_tables and describe_table are disabled)", 26 | ) 27 | parser.add_argument( 28 | "--no-prefetch", 29 | action="store_false", 30 | dest="prefetch", 31 | help="Don't prefetch table descriptions", 32 | ) 33 | parser.add_argument( 34 | "--exclude_tools", 35 | required=False, 36 | default=[], 37 | nargs="+", 38 | help="List of tools to exclude", 39 | ) 40 | 41 | # First, get all the arguments we don't know about 42 | args, unknown = parser.parse_known_args() 43 | 44 | # Create a dictionary to store our key-value pairs 45 | connection_args = {} 46 | 47 | # Iterate through unknown args in pairs 48 | for i in range(0, len(unknown), 2): 49 | if i + 1 >= len(unknown): 50 | break 51 | 52 | key = unknown[i] 53 | value = unknown[i + 1] 54 | 55 | # Make sure it's a keyword argument (starts with --) 56 | if key.startswith("--"): 57 | key = key[2:] # Remove the '--' 58 | connection_args[key] = value 59 | 60 | # Now we can add the known args to kwargs 61 | server_args = { 62 | "allow_write": args.allow_write, 63 | "log_dir": args.log_dir, 64 | "log_level": args.log_level, 65 | "prefetch": args.prefetch, 66 | "exclude_tools": args.exclude_tools, 67 | } 68 | 69 | return server_args, connection_args 70 | 71 | 72 | def main(): 73 | """Main entry point for the package.""" 74 | 75 | dotenv.load_dotenv() 76 | 77 | default_connection_args = snowflake.connector.connection.DEFAULT_CONFIGURATION 78 | 79 | connection_args_from_env = { 80 | k: os.getenv("SNOWFLAKE_" + k.upper()) 81 | for k in default_connection_args 82 | if os.getenv("SNOWFLAKE_" + k.upper()) is not None 83 | } 84 | 85 | server_args, connection_args = parse_args() 86 | 87 | connection_args = {**connection_args_from_env, **connection_args} 88 | 89 | assert ( 90 | "database" in connection_args 91 | ), 'You must provide the account identifier as "--database" argument or "SNOWFLAKE_DATABASE" environment variable.' 92 | assert ( 93 | "schema" in connection_args 94 | ), 'You must provide the username as "--schema" argument or "SNOWFLAKE_SCHEMA" environment variable.' 95 | 96 | asyncio.run( 97 | server.main( 98 | connection_args=connection_args, 99 | allow_write=server_args["allow_write"], 100 | log_dir=server_args["log_dir"], 101 | prefetch=server_args["prefetch"], 102 | log_level=server_args["log_level"], 103 | exclude_tools=server_args["exclude_tools"], 104 | ) 105 | ) 106 | 107 | 108 | # Optionally expose other important items at package level 109 | __all__ = ["main", "server", "write_detector"] 110 | 111 | if __name__ == "__main__": 112 | main() 113 | -------------------------------------------------------------------------------- /src/mcp_snowflake_server/db_client.py: -------------------------------------------------------------------------------- 1 | import asyncio 2 | import logging 3 | import time 4 | import uuid 5 | from typing import Any 6 | 7 | from snowflake.snowpark import Session 8 | 9 | # Configure logging 10 | logging.basicConfig( 11 | level=logging.INFO, 12 | format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", 13 | handlers=[logging.StreamHandler()], 14 | ) 15 | logger = logging.getLogger("mcp_snowflake_server") 16 | 17 | 18 | class SnowflakeDB: 19 | AUTH_EXPIRATION_TIME = 1800 20 | 21 | def __init__(self, connection_config: dict): 22 | self.connection_config = connection_config 23 | self.session = None 24 | self.insights: list[str] = [] 25 | self.auth_time = 0 26 | self.init_task = None # To store the task reference 27 | 28 | async def _init_database(self): 29 | """Initialize connection to the Snowflake database""" 30 | try: 31 | # Create session without setting specific database and schema 32 | self.session = Session.builder.configs(self.connection_config).create() 33 | 34 | # Set initial warehouse if provided, but don't set database or schema 35 | if "warehouse" in self.connection_config: 36 | self.session.sql(f"USE WAREHOUSE {self.connection_config['warehouse'].upper()}") 37 | 38 | self.auth_time = time.time() 39 | except Exception as e: 40 | raise ValueError(f"Failed to connect to Snowflake database: {e}") 41 | 42 | def start_init_connection(self): 43 | """Start database initialization in the background""" 44 | # Create a task that runs in the background 45 | loop = asyncio.get_event_loop() 46 | self.init_task = loop.create_task(self._init_database()) 47 | return self.init_task 48 | 49 | async def execute_query(self, query: str) -> tuple[list[dict[str, Any]], str]: 50 | """Execute a SQL query and return results as a list of dictionaries""" 51 | # If init_task exists and isn't done, wait for it to complete 52 | if self.init_task and not self.init_task.done(): 53 | await self.init_task 54 | # If session doesn't exist or has expired, initialize it and wait 55 | elif not self.session or time.time() - self.auth_time > self.AUTH_EXPIRATION_TIME: 56 | await self._init_database() 57 | 58 | logger.debug(f"Executing query: {query}") 59 | try: 60 | result = self.session.sql(query).to_pandas() 61 | result_rows = result.to_dict(orient="records") 62 | data_id = str(uuid.uuid4()) 63 | 64 | return result_rows, data_id 65 | 66 | except Exception as e: 67 | logger.error(f'Database error executing "{query}": {e}') 68 | raise 69 | 70 | def add_insight(self, insight: str) -> None: 71 | """Add a new insight to the collection""" 72 | self.insights.append(insight) 73 | 74 | def get_memo(self) -> str: 75 | """Generate a formatted memo from collected insights""" 76 | if not self.insights: 77 | return "No data insights have been discovered yet." 78 | 79 | memo = "📊 Data Intelligence Memo 📊\n\n" 80 | memo += "Key Insights Discovered:\n\n" 81 | memo += "\n".join(f"- {insight}" for insight in self.insights) 82 | 83 | if len(self.insights) > 1: 84 | memo += f"\n\nSummary:\nAnalysis has revealed {len(self.insights)} key data insights that suggest opportunities for strategic optimization and growth." 85 | 86 | return memo 87 | -------------------------------------------------------------------------------- /src/mcp_snowflake_server/server.py: -------------------------------------------------------------------------------- 1 | import importlib.metadata 2 | import json 3 | import logging 4 | import os 5 | from functools import wraps 6 | from typing import Any, Callable 7 | 8 | import mcp.server.stdio 9 | import mcp.types as types 10 | import yaml 11 | from mcp.server import NotificationOptions, Server 12 | from mcp.server.models import InitializationOptions 13 | from pydantic import AnyUrl, BaseModel 14 | 15 | from .db_client import SnowflakeDB 16 | from .write_detector import SQLWriteDetector 17 | 18 | logging.basicConfig( 19 | level=logging.INFO, 20 | format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", 21 | handlers=[logging.StreamHandler()], 22 | ) 23 | logger = logging.getLogger("mcp_snowflake_server") 24 | 25 | 26 | def data_to_yaml(data: Any) -> str: 27 | return yaml.dump(data, indent=2, sort_keys=False) 28 | 29 | # Custom serializer that checks for 'date' type 30 | def data_json_serializer(obj): 31 | from datetime import date, datetime 32 | if isinstance(obj, date) or isinstance(obj, datetime): 33 | return obj.isoformat() 34 | else: 35 | return obj 36 | 37 | 38 | def handle_tool_errors(func: Callable) -> Callable: 39 | """Decorator to standardize tool error handling""" 40 | 41 | @wraps(func) 42 | async def wrapper(*args, **kwargs) -> list[types.TextContent]: 43 | try: 44 | return await func(*args, **kwargs) 45 | except Exception as e: 46 | logger.error(f"Error in {func.__name__}: {str(e)}") 47 | return [types.TextContent(type="text", text=f"Error: {str(e)}")] 48 | 49 | return wrapper 50 | 51 | 52 | class Tool(BaseModel): 53 | name: str 54 | description: str 55 | input_schema: dict[str, Any] 56 | handler: Callable[ 57 | [str, dict[str, Any] | None], 58 | list[types.TextContent | types.ImageContent | types.EmbeddedResource], 59 | ] 60 | tags: list[str] = [] 61 | 62 | 63 | # Tool handlers 64 | async def handle_list_databases(arguments, db, *_, exclusion_config=None): 65 | query = "SELECT DATABASE_NAME FROM INFORMATION_SCHEMA.DATABASES" 66 | data, data_id = await db.execute_query(query) 67 | 68 | # Filter out excluded databases 69 | if exclusion_config and "databases" in exclusion_config and exclusion_config["databases"]: 70 | filtered_data = [] 71 | for item in data: 72 | db_name = item.get("DATABASE_NAME", "") 73 | exclude = False 74 | for pattern in exclusion_config["databases"]: 75 | if pattern.lower() in db_name.lower(): 76 | exclude = True 77 | break 78 | if not exclude: 79 | filtered_data.append(item) 80 | data = filtered_data 81 | 82 | output = { 83 | "type": "data", 84 | "data_id": data_id, 85 | "data": data, 86 | } 87 | yaml_output = data_to_yaml(output) 88 | json_output = json.dumps(output) 89 | return [ 90 | types.TextContent(type="text", text=yaml_output), 91 | types.EmbeddedResource( 92 | type="resource", 93 | resource=types.TextResourceContents(uri=f"data://{data_id}", text=json_output, mimeType="application/json"), 94 | ), 95 | ] 96 | 97 | 98 | async def handle_list_schemas(arguments, db, *_, exclusion_config=None): 99 | if not arguments or "database" not in arguments: 100 | raise ValueError("Missing required 'database' parameter") 101 | 102 | database = arguments["database"] 103 | query = f"SELECT SCHEMA_NAME FROM {database.upper()}.INFORMATION_SCHEMA.SCHEMATA" 104 | data, data_id = await db.execute_query(query) 105 | 106 | # Filter out excluded schemas 107 | if exclusion_config and "schemas" in exclusion_config and exclusion_config["schemas"]: 108 | filtered_data = [] 109 | for item in data: 110 | schema_name = item.get("SCHEMA_NAME", "") 111 | exclude = False 112 | for pattern in exclusion_config["schemas"]: 113 | if pattern.lower() in schema_name.lower(): 114 | exclude = True 115 | break 116 | if not exclude: 117 | filtered_data.append(item) 118 | data = filtered_data 119 | 120 | output = { 121 | "type": "data", 122 | "data_id": data_id, 123 | "database": database, 124 | "data": data, 125 | } 126 | yaml_output = data_to_yaml(output) 127 | json_output = json.dumps(output) 128 | return [ 129 | types.TextContent(type="text", text=yaml_output), 130 | types.EmbeddedResource( 131 | type="resource", 132 | resource=types.TextResourceContents(uri=f"data://{data_id}", text=json_output, mimeType="application/json"), 133 | ), 134 | ] 135 | 136 | 137 | async def handle_list_tables(arguments, db, *_, exclusion_config=None): 138 | if not arguments or "database" not in arguments or "schema" not in arguments: 139 | raise ValueError("Missing required 'database' and 'schema' parameters") 140 | 141 | database = arguments["database"] 142 | schema = arguments["schema"] 143 | 144 | query = f""" 145 | SELECT table_catalog, table_schema, table_name, comment 146 | FROM {database}.information_schema.tables 147 | WHERE table_schema = '{schema.upper()}' 148 | """ 149 | data, data_id = await db.execute_query(query) 150 | 151 | # Filter out excluded tables 152 | if exclusion_config and "tables" in exclusion_config and exclusion_config["tables"]: 153 | filtered_data = [] 154 | for item in data: 155 | table_name = item.get("TABLE_NAME", "") 156 | exclude = False 157 | for pattern in exclusion_config["tables"]: 158 | if pattern.lower() in table_name.lower(): 159 | exclude = True 160 | break 161 | if not exclude: 162 | filtered_data.append(item) 163 | data = filtered_data 164 | 165 | output = { 166 | "type": "data", 167 | "data_id": data_id, 168 | "database": database, 169 | "schema": schema, 170 | "data": data, 171 | } 172 | yaml_output = data_to_yaml(output) 173 | json_output = json.dumps(output) 174 | return [ 175 | types.TextContent(type="text", text=yaml_output), 176 | types.EmbeddedResource( 177 | type="resource", 178 | resource=types.TextResourceContents(uri=f"data://{data_id}", text=json_output, mimeType="application/json"), 179 | ), 180 | ] 181 | 182 | 183 | async def handle_describe_table(arguments, db, *_): 184 | if not arguments or "table_name" not in arguments: 185 | raise ValueError("Missing table_name argument") 186 | 187 | table_spec = arguments["table_name"] 188 | split_identifier = table_spec.split(".") 189 | 190 | # Parse the fully qualified table name 191 | if len(split_identifier) < 3: 192 | raise ValueError("Table name must be fully qualified as 'database.schema.table'") 193 | 194 | database_name = split_identifier[0].upper() 195 | schema_name = split_identifier[1].upper() 196 | table_name = split_identifier[2].upper() 197 | 198 | query = f""" 199 | SELECT column_name, column_default, is_nullable, data_type, comment 200 | FROM {database_name}.information_schema.columns 201 | WHERE table_schema = '{schema_name}' AND table_name = '{table_name}' 202 | """ 203 | data, data_id = await db.execute_query(query) 204 | 205 | output = { 206 | "type": "data", 207 | "data_id": data_id, 208 | "database": database_name, 209 | "schema": schema_name, 210 | "table": table_name, 211 | "data": data, 212 | } 213 | yaml_output = data_to_yaml(output) 214 | json_output = json.dumps(output) 215 | return [ 216 | types.TextContent(type="text", text=yaml_output), 217 | types.EmbeddedResource( 218 | type="resource", 219 | resource=types.TextResourceContents(uri=f"data://{data_id}", text=json_output, mimeType="application/json"), 220 | ), 221 | ] 222 | 223 | 224 | async def handle_read_query(arguments, db, write_detector, *_): 225 | if not arguments or "query" not in arguments: 226 | raise ValueError("Missing query argument") 227 | 228 | if write_detector.analyze_query(arguments["query"])["contains_write"]: 229 | raise ValueError("Calls to read_query should not contain write operations") 230 | 231 | data, data_id = await db.execute_query(arguments["query"]) 232 | 233 | output = { 234 | "type": "data", 235 | "data_id": data_id, 236 | "data": data, 237 | } 238 | yaml_output = data_to_yaml(output) 239 | json_output = json.dumps(output, default=data_json_serializer) 240 | return [ 241 | types.TextContent(type="text", text=yaml_output), 242 | types.EmbeddedResource( 243 | type="resource", 244 | resource=types.TextResourceContents(uri=f"data://{data_id}", text=json_output, mimeType="application/json"), 245 | ), 246 | ] 247 | 248 | 249 | async def handle_append_insight(arguments, db, _, __, server): 250 | if not arguments or "insight" not in arguments: 251 | raise ValueError("Missing insight argument") 252 | 253 | db.add_insight(arguments["insight"]) 254 | await server.request_context.session.send_resource_updated(AnyUrl("memo://insights")) 255 | return [types.TextContent(type="text", text="Insight added to memo")] 256 | 257 | 258 | async def handle_write_query(arguments, db, _, allow_write, __): 259 | if not allow_write: 260 | raise ValueError("Write operations are not allowed for this data connection") 261 | if arguments["query"].strip().upper().startswith("SELECT"): 262 | raise ValueError("SELECT queries are not allowed for write_query") 263 | 264 | results, data_id = await db.execute_query(arguments["query"]) 265 | return [types.TextContent(type="text", text=str(results))] 266 | 267 | 268 | async def handle_create_table(arguments, db, _, allow_write, __): 269 | if not allow_write: 270 | raise ValueError("Write operations are not allowed for this data connection") 271 | if not arguments["query"].strip().upper().startswith("CREATE TABLE"): 272 | raise ValueError("Only CREATE TABLE statements are allowed") 273 | 274 | results, data_id = await db.execute_query(arguments["query"]) 275 | return [types.TextContent(type="text", text=f"Table created successfully. data_id = {data_id}")] 276 | 277 | 278 | async def prefetch_tables(db: SnowflakeDB, credentials: dict) -> dict: 279 | """Prefetch table and column information""" 280 | try: 281 | logger.info("Prefetching table descriptions") 282 | table_results, data_id = await db.execute_query( 283 | f"""SELECT table_name, comment 284 | FROM {credentials['database']}.information_schema.tables 285 | WHERE table_schema = '{credentials['schema'].upper()}'""" 286 | ) 287 | 288 | column_results, data_id = await db.execute_query( 289 | f"""SELECT table_name, column_name, data_type, comment 290 | FROM {credentials['database']}.information_schema.columns 291 | WHERE table_schema = '{credentials['schema'].upper()}'""" 292 | ) 293 | 294 | tables_brief = {} 295 | for row in table_results: 296 | tables_brief[row["TABLE_NAME"]] = {**row, "COLUMNS": {}} 297 | 298 | for row in column_results: 299 | row_without_table_name = row.copy() 300 | del row_without_table_name["TABLE_NAME"] 301 | tables_brief[row["TABLE_NAME"]]["COLUMNS"][row["COLUMN_NAME"]] = row_without_table_name 302 | 303 | return tables_brief 304 | 305 | except Exception as e: 306 | logger.error(f"Error prefetching table descriptions: {e}") 307 | return f"Error prefetching table descriptions: {e}" 308 | 309 | 310 | async def main( 311 | allow_write: bool = False, 312 | connection_args: dict = None, 313 | log_dir: str = None, 314 | prefetch: bool = False, 315 | log_level: str = "INFO", 316 | exclude_tools: list[str] = [], 317 | config_file: str = "runtime_config.json", 318 | exclude_patterns: dict = None, 319 | ): 320 | # Setup logging 321 | if log_dir: 322 | os.makedirs(log_dir, exist_ok=True) 323 | logger.handlers.append(logging.FileHandler(os.path.join(log_dir, "mcp_snowflake_server.log"))) 324 | if log_level: 325 | logger.setLevel(log_level) 326 | 327 | logger.info("Starting Snowflake MCP Server") 328 | logger.info("Allow write operations: %s", allow_write) 329 | logger.info("Prefetch table descriptions: %s", prefetch) 330 | logger.info("Excluded tools: %s", exclude_tools) 331 | 332 | # Load configuration from file if provided 333 | config = {} 334 | # 335 | if config_file: 336 | try: 337 | with open(config_file, "r") as f: 338 | config = json.load(f) 339 | logger.info(f"Loaded configuration from {config_file}") 340 | except Exception as e: 341 | logger.error(f"Error loading configuration file: {e}") 342 | 343 | # Merge exclude_patterns from parameters with config file 344 | exclusion_config = config.get("exclude_patterns", {}) 345 | if exclude_patterns: 346 | # Merge patterns from parameters with those from config file 347 | for key, patterns in exclude_patterns.items(): 348 | if key in exclusion_config: 349 | exclusion_config[key].extend(patterns) 350 | else: 351 | exclusion_config[key] = patterns 352 | 353 | # Set default patterns if none are specified 354 | if not exclusion_config: 355 | exclusion_config = {"databases": [], "schemas": [], "tables": []} 356 | 357 | # Ensure all keys exist in the exclusion config 358 | for key in ["databases", "schemas", "tables"]: 359 | if key not in exclusion_config: 360 | exclusion_config[key] = [] 361 | 362 | logger.info(f"Exclusion patterns: {exclusion_config}") 363 | 364 | db = SnowflakeDB(connection_args) 365 | db.start_init_connection() 366 | server = Server("snowflake-manager") 367 | write_detector = SQLWriteDetector() 368 | 369 | tables_info = (await prefetch_tables(db, connection_args)) if prefetch else {} 370 | tables_brief = data_to_yaml(tables_info) if prefetch else "" 371 | 372 | all_tools = [ 373 | Tool( 374 | name="list_databases", 375 | description="List all available databases in Snowflake", 376 | input_schema={ 377 | "type": "object", 378 | "properties": {}, 379 | }, 380 | handler=handle_list_databases, 381 | ), 382 | Tool( 383 | name="list_schemas", 384 | description="List all schemas in a database", 385 | input_schema={ 386 | "type": "object", 387 | "properties": { 388 | "database": { 389 | "type": "string", 390 | "description": "Database name to list schemas from", 391 | }, 392 | }, 393 | "required": ["database"], 394 | }, 395 | handler=handle_list_schemas, 396 | ), 397 | Tool( 398 | name="list_tables", 399 | description="List all tables in a specific database and schema", 400 | input_schema={ 401 | "type": "object", 402 | "properties": { 403 | "database": {"type": "string", "description": "Database name"}, 404 | "schema": {"type": "string", "description": "Schema name"}, 405 | }, 406 | "required": ["database", "schema"], 407 | }, 408 | handler=handle_list_tables, 409 | ), 410 | Tool( 411 | name="describe_table", 412 | description="Get the schema information for a specific table", 413 | input_schema={ 414 | "type": "object", 415 | "properties": { 416 | "table_name": { 417 | "type": "string", 418 | "description": "Fully qualified table name in the format 'database.schema.table'", 419 | }, 420 | }, 421 | "required": ["table_name"], 422 | }, 423 | handler=handle_describe_table, 424 | ), 425 | Tool( 426 | name="read_query", 427 | description="Execute a SELECT query.", 428 | input_schema={ 429 | "type": "object", 430 | "properties": {"query": {"type": "string", "description": "SELECT SQL query to execute"}}, 431 | "required": ["query"], 432 | }, 433 | handler=handle_read_query, 434 | ), 435 | Tool( 436 | name="append_insight", 437 | description="Add a data insight to the memo", 438 | input_schema={ 439 | "type": "object", 440 | "properties": { 441 | "insight": { 442 | "type": "string", 443 | "description": "Data insight discovered from analysis", 444 | } 445 | }, 446 | "required": ["insight"], 447 | }, 448 | handler=handle_append_insight, 449 | tags=["resource_based"], 450 | ), 451 | Tool( 452 | name="write_query", 453 | description="Execute an INSERT, UPDATE, or DELETE query on the Snowflake database", 454 | input_schema={ 455 | "type": "object", 456 | "properties": {"query": {"type": "string", "description": "SQL query to execute"}}, 457 | "required": ["query"], 458 | }, 459 | handler=handle_write_query, 460 | tags=["write"], 461 | ), 462 | Tool( 463 | name="create_table", 464 | description="Create a new table in the Snowflake database", 465 | input_schema={ 466 | "type": "object", 467 | "properties": {"query": {"type": "string", "description": "CREATE TABLE SQL statement"}}, 468 | "required": ["query"], 469 | }, 470 | handler=handle_create_table, 471 | tags=["write"], 472 | ), 473 | ] 474 | 475 | exclude_tags = [] 476 | if not allow_write: 477 | exclude_tags.append("write") 478 | allowed_tools = [ 479 | tool for tool in all_tools if tool.name not in exclude_tools and not any(tag in exclude_tags for tag in tool.tags) 480 | ] 481 | 482 | logger.info("Allowed tools: %s", [tool.name for tool in allowed_tools]) 483 | 484 | # Register handlers 485 | @server.list_resources() 486 | async def handle_list_resources() -> list[types.Resource]: 487 | resources = [ 488 | types.Resource( 489 | uri=AnyUrl("memo://insights"), 490 | name="Data Insights Memo", 491 | description="A living document of discovered data insights", 492 | mimeType="text/plain", 493 | ) 494 | ] 495 | table_brief_resources = [ 496 | types.Resource( 497 | uri=AnyUrl(f"context://table/{table_name}"), 498 | name=f"{table_name} table", 499 | description=f"Description of the {table_name} table", 500 | mimeType="text/plain", 501 | ) 502 | for table_name in tables_info.keys() 503 | ] 504 | resources += table_brief_resources 505 | return resources 506 | 507 | @server.read_resource() 508 | async def handle_read_resource(uri: AnyUrl) -> str: 509 | if str(uri) == "memo://insights": 510 | return db.get_memo() 511 | elif str(uri).startswith("context://table"): 512 | table_name = str(uri).split("/")[-1] 513 | if table_name in tables_info: 514 | return data_to_yaml(tables_info[table_name]) 515 | else: 516 | raise ValueError(f"Unknown table: {table_name}") 517 | else: 518 | raise ValueError(f"Unknown resource: {uri}") 519 | 520 | @server.list_prompts() 521 | async def handle_list_prompts() -> list[types.Prompt]: 522 | return [] 523 | 524 | @server.get_prompt() 525 | async def handle_get_prompt(name: str, arguments: dict[str, str] | None) -> types.GetPromptResult: 526 | raise ValueError(f"Unknown prompt: {name}") 527 | 528 | @server.call_tool() 529 | @handle_tool_errors 530 | async def handle_call_tool( 531 | name: str, arguments: dict[str, Any] | None 532 | ) -> list[types.TextContent | types.ImageContent | types.EmbeddedResource]: 533 | if name in exclude_tools: 534 | return [types.TextContent(type="text", text=f"Tool {name} is excluded from this data connection")] 535 | 536 | handler = next((tool.handler for tool in allowed_tools if tool.name == name), None) 537 | if not handler: 538 | raise ValueError(f"Unknown tool: {name}") 539 | 540 | # Pass exclusion_config to the handler if it's a listing function 541 | if name in ["list_databases", "list_schemas", "list_tables"]: 542 | return await handler( 543 | arguments, 544 | db, 545 | write_detector, 546 | allow_write, 547 | server, 548 | exclusion_config=exclusion_config, 549 | ) 550 | else: 551 | return await handler(arguments, db, write_detector, allow_write, server) 552 | 553 | @server.list_tools() 554 | async def handle_list_tools() -> list[types.Tool]: 555 | logger.info("Listing tools") 556 | logger.error(f"Allowed tools: {allowed_tools}") 557 | tools = [ 558 | types.Tool( 559 | name=tool.name, 560 | description=tool.description, 561 | inputSchema=tool.input_schema, 562 | ) 563 | for tool in allowed_tools 564 | ] 565 | return tools 566 | 567 | # Start server 568 | async with mcp.server.stdio.stdio_server() as (read_stream, write_stream): 569 | logger.info("Server running with stdio transport") 570 | await server.run( 571 | read_stream, 572 | write_stream, 573 | InitializationOptions( 574 | server_name="snowflake", 575 | server_version=importlib.metadata.version("mcp_snowflake_server"), 576 | capabilities=server.get_capabilities( 577 | notification_options=NotificationOptions(), 578 | experimental_capabilities={}, 579 | ), 580 | ), 581 | ) 582 | -------------------------------------------------------------------------------- /src/mcp_snowflake_server/write_detector.py: -------------------------------------------------------------------------------- 1 | import sqlparse 2 | from sqlparse.sql import Token, TokenList 3 | from sqlparse.tokens import Keyword, DML, DDL 4 | from typing import Dict, List, Set, Tuple 5 | 6 | 7 | class SQLWriteDetector: 8 | def __init__(self): 9 | # Define sets of keywords that indicate write operations 10 | self.dml_write_keywords = {"INSERT", "UPDATE", "DELETE", "MERGE", "UPSERT", "REPLACE"} 11 | 12 | self.ddl_keywords = {"CREATE", "ALTER", "DROP", "TRUNCATE", "RENAME"} 13 | 14 | self.dcl_keywords = {"GRANT", "REVOKE"} 15 | 16 | # Combine all write keywords 17 | self.write_keywords = self.dml_write_keywords | self.ddl_keywords | self.dcl_keywords 18 | 19 | def analyze_query(self, sql_query: str) -> Dict: 20 | """ 21 | Analyze a SQL query to determine if it contains write operations. 22 | 23 | Args: 24 | sql_query: The SQL query string to analyze 25 | 26 | Returns: 27 | Dictionary containing analysis results 28 | """ 29 | # Parse the SQL query 30 | parsed = sqlparse.parse(sql_query) 31 | if not parsed: 32 | return {"contains_write": False, "write_operations": set(), "has_cte_write": False} 33 | 34 | # Initialize result tracking 35 | found_operations = set() 36 | has_cte_write = False 37 | 38 | # Analyze each statement in the query 39 | for statement in parsed: 40 | # Check for write operations in CTEs (WITH clauses) 41 | if self._has_cte(statement): 42 | cte_write = self._analyze_cte(statement) 43 | if cte_write: 44 | has_cte_write = True 45 | found_operations.add("CTE_WRITE") 46 | 47 | # Analyze the main query 48 | operations = self._find_write_operations(statement) 49 | found_operations.update(operations) 50 | 51 | return { 52 | "contains_write": bool(found_operations) or has_cte_write, 53 | "write_operations": found_operations, 54 | "has_cte_write": has_cte_write, 55 | } 56 | 57 | def _has_cte(self, statement: TokenList) -> bool: 58 | """Check if the statement has a WITH clause.""" 59 | return any(token.is_keyword and token.normalized == "WITH" for token in statement.tokens) 60 | 61 | def _analyze_cte(self, statement: TokenList) -> bool: 62 | """ 63 | Analyze CTEs (WITH clauses) for write operations. 64 | Returns True if any CTE contains a write operation. 65 | """ 66 | in_cte = False 67 | for token in statement.tokens: 68 | if token.is_keyword and token.normalized == "WITH": 69 | in_cte = True 70 | elif in_cte: 71 | if any(write_kw in token.normalized for write_kw in self.write_keywords): 72 | return True 73 | return False 74 | 75 | def _find_write_operations(self, statement: TokenList) -> Set[str]: 76 | """ 77 | Find all write operations in a statement. 78 | Returns a set of found write operation keywords. 79 | """ 80 | operations = set() 81 | 82 | for token in statement.tokens: 83 | # Skip comments and whitespace 84 | if token.is_whitespace or token.ttype in (sqlparse.tokens.Comment,): 85 | continue 86 | 87 | # Check if token is a keyword 88 | if token.ttype in (Keyword, DML, DDL): 89 | normalized = token.normalized.upper() 90 | if normalized in self.write_keywords: 91 | operations.add(normalized) 92 | 93 | # Recursively check child tokens 94 | if isinstance(token, TokenList): 95 | child_ops = self._find_write_operations(token) 96 | operations.update(child_ops) 97 | 98 | return operations 99 | --------------------------------------------------------------------------------