├── src ├── clients │ ├── settings │ │ ├── main.py │ │ └── __init__.py │ ├── slack │ │ ├── __init__.py │ │ ├── prompts.py │ │ ├── manifest.yaml │ │ └── main.py │ └── pydantic_ai │ │ ├── __init__.py │ │ ├── prompts.py │ │ └── main.py └── servers │ ├── download │ ├── __init__.py │ ├── utils.py │ └── main.py │ ├── today │ ├── __init__.py │ └── main.py │ ├── online_search │ ├── __init__.py │ └── main.py │ └── settings │ ├── __init__.py │ └── main.py ├── .tool-versions ├── .gitignore ├── .dockerignore ├── docker-compose.yaml ├── .editorconfig ├── pyproject.toml ├── Dockerfile ├── README.md └── poetry.lock /src/clients/settings/main.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /src/clients/slack/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /src/servers/download/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /src/servers/today/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /src/servers/online_search/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /.tool-versions: -------------------------------------------------------------------------------- 1 | python 3.12.9 2 | poetry 2.1.1 3 | uv 0.6.8 4 | nodejs 22.14.0 5 | -------------------------------------------------------------------------------- /src/clients/pydantic_ai/__init__.py: -------------------------------------------------------------------------------- 1 | from .prompts import ( 2 | MCP_CLIENT_SYSTEM_PROMPT 3 | ) 4 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Python-generated files 2 | __pycache__/ 3 | *.py[oc] 4 | build/ 5 | dist/ 6 | wheels/ 7 | *.egg-info 8 | 9 | # Virtual environments 10 | .venv 11 | .env 12 | tmp 13 | -------------------------------------------------------------------------------- /.dockerignore: -------------------------------------------------------------------------------- 1 | .cspell 2 | .vscode 3 | .venv 4 | deploy 5 | tmp 6 | dist 7 | Dockerfile 8 | docker-compose.yml 9 | db.sqlite3 10 | .git 11 | .env 12 | .envrc 13 | .env.* 14 | *.env 15 | .editorconfig 16 | .gitignore 17 | .dockerignore 18 | *.log 19 | .tool-versions 20 | .direnv 21 | docker-compose.* 22 | dist/ 23 | -------------------------------------------------------------------------------- /src/servers/settings/__init__.py: -------------------------------------------------------------------------------- 1 | from mcp.server.fastmcp.utilities.logging import configure_logging, get_logger 2 | 3 | from .main import ( 4 | FASTMCP_DEFAULTS, 5 | DOT_ENV_ABSPATH, 6 | DEFAULT_HEADERS, 7 | LOG_LEVEL, 8 | find_up, 9 | ) 10 | 11 | configure_logging(LOG_LEVEL) 12 | logger = get_logger(name=__name__) 13 | -------------------------------------------------------------------------------- /src/servers/download/utils.py: -------------------------------------------------------------------------------- 1 | from functools import reduce 2 | from html2text import HTML2Text 3 | 4 | def get_text2html() -> HTML2Text: 5 | result = HTML2Text() 6 | result.ignore_links = False 7 | result.ignore_images = False 8 | result.ignore_tables = False 9 | result.body_width = 0 10 | return result 11 | 12 | def flatten(xss): 13 | return reduce(lambda xs, ys: xs + ys, xss) 14 | -------------------------------------------------------------------------------- /docker-compose.yaml: -------------------------------------------------------------------------------- 1 | services: 2 | mcp: 3 | build: 4 | context: . 5 | args: 6 | - APP_PORT="${APP_PORT:-8000}" 7 | environment: 8 | APP_PORT: "${APP_PORT:-8000}" 9 | LOG_LEVEL: "DEBUG" 10 | ports: 11 | - "${APP_PORT:-8000}:${APP_PORT:-8000}" 12 | networks: [net] 13 | networks: 14 | net: 15 | driver: bridge 16 | # volumes: 17 | # database: 18 | # driver: local 19 | -------------------------------------------------------------------------------- /.editorconfig: -------------------------------------------------------------------------------- 1 | root = true 2 | 3 | [*] 4 | charset = utf-8 5 | end_of_line = lf 6 | indent_size = 4 7 | indent_style = space 8 | insert_final_newline = true 9 | max_line_length = 120 10 | trim_trailing_whitespace = true 11 | 12 | [*.{tf,tfvars,yaml,yml}] 13 | indent_size = 2 14 | indent_style = space 15 | 16 | [*.md] 17 | max_line_length = 0 18 | trim_trailing_whitespace = true 19 | 20 | [COMMIT_EDITMSG] 21 | max_line_length = 0 22 | -------------------------------------------------------------------------------- /src/clients/settings/__init__.py: -------------------------------------------------------------------------------- 1 | from os.path import dirname 2 | from os import getenv 3 | 4 | from servers.settings import ( 5 | LOG_LEVEL, 6 | DOT_ENV_ABSPATH, 7 | DEFAULT_HEADERS, 8 | configure_logging, 9 | get_logger, 10 | find_up, 11 | ) 12 | 13 | PROJECT_ROOT = dirname(find_up("pyproject.toml")) 14 | PROJECT_SRC = find_up("src") 15 | PYTHONPATH = f"{PROJECT_SRC}:{PROJECT_ROOT}" 16 | SLACK_APP_TOKEN = getenv("SLACK_APP_TOKEN") 17 | SLACK_BOT_TOKEN = getenv("SLACK_BOT_TOKEN") 18 | 19 | configure_logging(LOG_LEVEL) 20 | logger = get_logger(name=__name__) 21 | -------------------------------------------------------------------------------- /src/clients/slack/prompts.py: -------------------------------------------------------------------------------- 1 | MCP_CLIENT_SYSTEM_PROMPT = """ 2 | You are professional assistant. You help audience to find quickly technology meetup and all information about it. 3 | 4 | You tone is polite but professional. 5 | 6 | You answer exactly on user question without providing any explanation. 7 | 8 | Do not apologize. 9 | 10 | ## Tools 11 | 12 | You have access to a wide variety of tools. You are responsible for using the tools in any sequence you deem appropriate to complete the task at hand. 13 | This may require breaking the task into subtasks and using different tools to complete each subtask. 14 | 15 | You may use any tools you need, but you NEVER invent the answer. 16 | Answer: "I don't know" if you don't have an answer. 17 | 18 | """ 19 | -------------------------------------------------------------------------------- /src/clients/pydantic_ai/prompts.py: -------------------------------------------------------------------------------- 1 | MCP_CLIENT_SYSTEM_PROMPT = """ 2 | You are professional assistant. You help audience to find quickly technology meetup and all information about it. 3 | 4 | You tone is polite but professional. 5 | 6 | You answer exactly on user question without providing any explanation. 7 | 8 | Do not apologize. 9 | 10 | ## Tools 11 | 12 | You have access to a wide variety of tools. You are responsible for using the tools in any sequence you deem appropriate to complete the task at hand. 13 | This may require breaking the task into subtasks and using different tools to complete each subtask. 14 | 15 | You may use any tools you need, but you NEVER invent the answer. 16 | Answer: "I don't know" if you don't have an answer. 17 | 18 | """ 19 | -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [project] 2 | name = "akranga-mcp-demo" 3 | version = "0.0.0" 4 | requires-python = ">=3.12" 5 | description = "Demo MCP project for Akranga talk" 6 | readme = "README.md" 7 | 8 | [tool.poetry] 9 | packages = [{include = "src"}] 10 | package-mode = false 11 | authors = ["Antons Kranga "] 12 | 13 | [tool.poetry.dependencies] 14 | python = "^3.12" 15 | mcp = {extras = ["cli"], version = "^1.5.0"} 16 | python-dotenv = "^1.1.0" 17 | # fastmcp = "^0.4.1" 18 | click = "^8.1.8" 19 | jinja2 = "^3.1.6" 20 | packaging = "^24.2" 21 | toml = "^0.10.2" 22 | bs4 = "^0.0.2" 23 | html2text = "^2024.2.26" 24 | slack-bolt = "^1.23.0" 25 | anthropic = {extras = ["bedrock"], version = "^0.49.0"} 26 | pydantic-ai-slim = {extras = ["bedrock", "mcp"], version = "^0.0.44"} 27 | aiohttp = "^3.11.14" 28 | 29 | [build-system] 30 | requires = ["poetry-core", "wheel"] 31 | build-backend = "poetry.core.masonry.api" 32 | -------------------------------------------------------------------------------- /Dockerfile: -------------------------------------------------------------------------------- 1 | ARG BASE_IMAGE="python:3.12.9-slim" 2 | FROM ${BASE_IMAGE} 3 | 4 | ENV PYTHONPATH="/app:/app/src:${PYTHONPATH}" 5 | ENV PYTHONDONTWRITEBYTECODE="1" 6 | ENV PYTHONUNBUFFERED="1" 7 | ENV POETRY_VIRTUALENVS_CREATE="false" 8 | ARG POETRY_VERSION="2.1.1" 9 | ENV POETRY_VERSION="${POETRY_VERSION}" 10 | ENV POETRY_NO_INTERACTION="1" 11 | 12 | ENV DEBIAN_FRONTEND="noninteractive" 13 | ENV DEBUGPY_LOG_DIR="/logs" 14 | ENV PYTHONPATH="/app:/app/src" 15 | ENV FORCE_COLOR="0" 16 | ENV LOG_LEVEL="INFO" 17 | 18 | RUN apt-get update && apt install -y gdb software-properties-common \ 19 | build-essential \ 20 | libpq-dev gcc \ 21 | && rm -rf /var/lib/apt/lists/* 22 | 23 | RUN pip install --upgrade pip && \ 24 | pip install poetry==${POETRY_VERSION} 25 | 26 | WORKDIR /app 27 | COPY . /app/ 28 | 29 | 30 | ARG APP_PORT="8000" 31 | ENV APP_PORT="$APP_PORT" 32 | 33 | # RUN poetry install 34 | # ENTRYPOINT ["python", "src/echo.py"] 35 | -------------------------------------------------------------------------------- /src/servers/settings/main.py: -------------------------------------------------------------------------------- 1 | import logging 2 | from os import environ, path, getenv 3 | from dotenv import load_dotenv 4 | 5 | def find_up(expected: str , initial:str =__file__): 6 | abs_file = path.join(path.abspath(initial), expected) 7 | if path.exists(abs_file): 8 | return abs_file 9 | parent_dir = path.dirname(initial) 10 | if parent_dir == initial: 11 | return None 12 | return find_up(expected, parent_dir) 13 | 14 | SRC_DIR_ABS = find_up("src") 15 | DOT_ENV_ABSPATH = find_up(".env") 16 | 17 | load_dotenv(DOT_ENV_ABSPATH) 18 | 19 | LOG_LEVEL = environ.setdefault("LOG_LEVEL", "INFO").upper() 20 | 21 | FASTMCP_DEFAULTS = { 22 | "log_level": LOG_LEVEL, 23 | "debug": getattr(logging, getenv("LOG_LEVEL"), logging.INFO) <= logging.DEBUG, 24 | } 25 | 26 | DEFAULT_HEADERS = { 27 | "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36" 28 | } 29 | 30 | -------------------------------------------------------------------------------- /src/clients/slack/manifest.yaml: -------------------------------------------------------------------------------- 1 | display_information: 2 | name: MCP Agent 3 | description: MCP host application for slack 4 | background_color: "#383c47" 5 | features: 6 | app_home: 7 | home_tab_enabled: false 8 | messages_tab_enabled: true 9 | messages_tab_read_only_enabled: false 10 | bot_user: 11 | display_name: MCP Agent 12 | always_online: true 13 | assistant_view: 14 | assistant_description: MCP Agent 15 | suggested_prompts: [] 16 | oauth_config: 17 | scopes: 18 | bot: 19 | - app_mentions:read 20 | - assistant:write 21 | - channels:history 22 | - channels:read 23 | - chat:write 24 | - chat:write.public 25 | - commands 26 | - groups:history 27 | - groups:read 28 | - im:history 29 | - im:write 30 | - links:read 31 | - mpim:history 32 | - mpim:write 33 | - links:write 34 | settings: 35 | event_subscriptions: 36 | bot_events: 37 | - assistant_thread_started 38 | - app_mention 39 | - message.channels 40 | - message.groups 41 | - message.im 42 | - message.mpim 43 | - message.app_home 44 | interactivity: 45 | is_enabled: true 46 | org_deploy_enabled: false 47 | socket_mode_enabled: true 48 | token_rotation_enabled: false 49 | -------------------------------------------------------------------------------- /src/clients/pydantic_ai/main.py: -------------------------------------------------------------------------------- 1 | import asyncio 2 | from pydantic_ai import Agent 3 | from pydantic_ai.mcp import MCPServerStdio 4 | 5 | from clients.settings import logger, PYTHONPATH 6 | from clients.pydantic_ai.prompts import MCP_CLIENT_SYSTEM_PROMPT 7 | 8 | # For SSE 9 | # MCPServerHTTP('http://localhost:3000/sse') 10 | mcp_servers = [ 11 | MCPServerStdio(**kwargs) 12 | for kwargs in [ 13 | { 14 | "command": "mcp", 15 | "args": ["run", "src/servers/today/main.py"], 16 | "env": {"PYTHONPATH": PYTHONPATH}, 17 | }, 18 | { 19 | "command": "mcp", 20 | "args": ["run", "src/servers/download/main.py"], 21 | "env": {"PYTHONPATH": PYTHONPATH}, 22 | }, 23 | { 24 | "command": "mcp", 25 | "args": ["run", "src/servers/online_search/main.py"], 26 | "env": {"PYTHONPATH": PYTHONPATH}, 27 | }, 28 | ] 29 | ] 30 | 31 | agent = Agent( 32 | model='bedrock:us.anthropic.claude-3-7-sonnet-20250219-v1:0', 33 | system_prompt=MCP_CLIENT_SYSTEM_PROMPT, 34 | mcp_servers=mcp_servers, 35 | ) 36 | 37 | async def main(): 38 | question = 'Search for Model Context Protocol meetup and give me a breath summary' 39 | async with agent.run_mcp_servers(): 40 | result = await agent.run(question) 41 | logger.info(result.data) 42 | 43 | if __name__ == "__main__": 44 | asyncio.run(main()) 45 | -------------------------------------------------------------------------------- /src/servers/today/main.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | # -*- coding: utf-8 -*- 3 | 4 | from typing import Dict 5 | import datetime 6 | from mcp.server.fastmcp import FastMCP 7 | from servers.settings import logger, FASTMCP_DEFAULTS 8 | 9 | mcp = FastMCP("Today", settings=FASTMCP_DEFAULTS) 10 | 11 | @mcp.tool() 12 | def today() -> Dict[str, str]: 13 | """ 14 | Get current date, time, and calendar information. 15 | 16 | Use this tool when you need to know: 17 | - The current date and time 18 | - What day of the week it is 19 | - The current year, month, or day 20 | - Timestamp information for calculations 21 | 22 | Returns: 23 | A dictionary containing these date and time components: 24 | - date: Current date in YYYY-MM-DD format (e.g., "2025-03-26") 25 | - full_date: Formatted date with day of week (e.g., "Wednesday, March 26, 2025") 26 | - weekday: Current day of the week (e.g., "Wednesday") 27 | - year: Current year (e.g., "2025") 28 | - month: Current month name (e.g., "March") 29 | - day: Day of month (e.g., "26") 30 | - time: Current time in 24-hour format (e.g., "14:30:22") 31 | - iso_format: ISO 8601 formatted datetime (e.g., "2025-03-26T14:30:22.123456") 32 | - timestamp: Unix timestamp as seconds since epoch (e.g., 1742862622) 33 | """ 34 | today = datetime.datetime.now() 35 | return { 36 | "date": today.strftime("%Y-%m-%d"), 37 | "full_date": today.strftime("%A, %B %d, %Y"), 38 | "weekday": today.strftime("%A"), 39 | "year": today.strftime("%Y"), 40 | "month": today.strftime("%B"), 41 | "day": today.strftime("%d"), 42 | "time": today.strftime("%H:%M:%S"), 43 | "iso_format": today.isoformat(), 44 | "timestamp": int(today.timestamp()) 45 | } 46 | 47 | if __name__ == "__main__": 48 | logger.info(f"Starting MCP server: {mcp.name}...") 49 | mcp.run(transport="stdio") 50 | -------------------------------------------------------------------------------- /src/clients/slack/main.py: -------------------------------------------------------------------------------- 1 | import asyncio 2 | from contextlib import asynccontextmanager 3 | from logging import Logger 4 | 5 | from slack_bolt.async_app import AsyncApp 6 | from slack_bolt.adapter.socket_mode.async_handler import AsyncSocketModeHandler 7 | 8 | 9 | from pydantic_ai import Agent 10 | from pydantic_ai.mcp import MCPServerStdio 11 | 12 | from clients.settings import logger, PYTHONPATH, SLACK_BOT_TOKEN, SLACK_APP_TOKEN 13 | from clients.slack.prompts import MCP_CLIENT_SYSTEM_PROMPT 14 | 15 | mcp_servers = [ 16 | MCPServerStdio(**kwargs) 17 | for kwargs in [ 18 | { 19 | "command": "mcp", 20 | "args": ["run", "src/servers/today/main.py"], 21 | "env": {"PYTHONPATH": PYTHONPATH}, 22 | }, 23 | { 24 | "command": "mcp", 25 | "args": ["run", "src/servers/download/main.py"], 26 | "env": {"PYTHONPATH": PYTHONPATH}, 27 | }, 28 | { 29 | "command": "mcp", 30 | "args": ["run", "src/servers/online_search/main.py"], 31 | "env": {"PYTHONPATH": PYTHONPATH}, 32 | }, 33 | ] 34 | ] 35 | 36 | agent = Agent( 37 | model='bedrock:us.anthropic.claude-3-7-sonnet-20250219-v1:0', 38 | system_prompt=MCP_CLIENT_SYSTEM_PROMPT, 39 | mcp_servers=mcp_servers 40 | ) 41 | slack = AsyncApp(token=SLACK_BOT_TOKEN, logger=logger) 42 | 43 | 44 | @slack.event("assistant_thread_started") 45 | async def handle_assistant_thread_started_events(say): 46 | say(f"Hello, I am an CMP Agent. I am running {len(mcp_servers)} servers now") 47 | 48 | 49 | # @app.event("app_mention") 50 | @slack.event("message") 51 | async def handle_mention(event: dict, say, ack, set_status, logger: Logger): 52 | user = event['user'] 53 | text = event['text'] 54 | query = text.split(">", 1)[1].strip() if ">" in text else text 55 | 56 | await ack() 57 | await set_status(f"Working on your request: '{query}'...") 58 | 59 | try: 60 | result = await agent.run(query) 61 | await say(f"<@{user}> {result.data}") 62 | except Exception as e: 63 | logger.error(f"Error: {e}") 64 | await say(f"Sorry <@{user}>, I encountered an error.") 65 | 66 | 67 | @asynccontextmanager 68 | async def shared_mcp_servers(): 69 | async with agent.run_mcp_servers(): 70 | logger.info("MCP servers started") 71 | yield 72 | logger.info("MCP servers stopping") 73 | 74 | 75 | async def main(): 76 | handler = AsyncSocketModeHandler(slack, SLACK_APP_TOKEN) 77 | async with shared_mcp_servers(): 78 | await handler.start_async() 79 | 80 | 81 | if __name__ == "__main__": 82 | asyncio.run(main()) 83 | -------------------------------------------------------------------------------- /src/servers/online_search/main.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | # -*- coding: utf-8 -*- 3 | 4 | import httpx 5 | from typing import List, Dict 6 | from os import getenv 7 | 8 | from mcp.server.fastmcp import FastMCP 9 | from servers.settings import FASTMCP_DEFAULTS, DEFAULT_HEADERS, logger 10 | 11 | GOOGLE_SEARCH_CREDS = { 12 | "key": getenv("GOOGLE_API_KEY"), 13 | "cx": getenv("GOOGLE_ENGINE_ID"), 14 | } 15 | 16 | fastmcp_settings = { 17 | **FASTMCP_DEFAULTS, 18 | "dependencies": ["httpx"] 19 | } 20 | mcp = FastMCP("DownloadPage", settings=fastmcp_settings) 21 | 22 | @mcp.tool() 23 | def google_search(query: str, num_results: int = 5) -> List[Dict[str, str]]: 24 | """ 25 | Search the web for current information, news, and facts using Google. 26 | 27 | Use this tool when you need to find: 28 | - Current events or recent information not in your training data 29 | - Up-to-date facts, prices, or statistics 30 | - Specific information that you're uncertain about 31 | 32 | Parameters: 33 | query: The specific search terms or question to look up online 34 | num_results: Number of results to return (1-10, default: 5) 35 | 36 | Returns: 37 | A list of search results, each containing: 38 | - title: The title of the webpage 39 | - link: The URL to the full webpage 40 | - snippet: A brief text extract from the webpage showing relevant content 41 | 42 | Example return value: 43 | [ 44 | { 45 | "title": "Latest Climate Report - Example.com", 46 | "link": "https://example.com/climate-report", 47 | "snippet": "The 2025 climate assessment shows global temperatures have risen by..." 48 | }, 49 | ... 50 | ] 51 | """ 52 | 53 | logger.info(f"Searching online for: {query}") 54 | with httpx.Client(timeout=10.0) as client: 55 | response = client.get( 56 | url="https://www.googleapis.com/customsearch/v1", 57 | params={ 58 | **GOOGLE_SEARCH_CREDS, 59 | "q": query, 60 | "num": min(num_results, 10), 61 | }, 62 | headers=DEFAULT_HEADERS, 63 | ) 64 | response.raise_for_status() 65 | search_results = response.json() 66 | 67 | results = [ 68 | { 69 | "title": item.get("title", ""), 70 | "link": item.get("link", ""), 71 | "snippet": item.get("snippet", "") 72 | } 73 | for item in search_results.get("items", []) 74 | ] 75 | logger.info(f"Got {len(results)} in response") 76 | return results 77 | 78 | 79 | if __name__ == "__main__": 80 | logger.info(f"Starting MCP server: {mcp.name}...") 81 | mcp.run(transport="stdio") 82 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # MCP Workshop 2 | 3 | ## Introduction 4 | 5 | This code repo contains workshop materials for Model Context Protocol by Anthropic 6 | 7 | ## Directory Structure 8 | 9 | ```text 10 | ./ 11 | ├── docker-compose.yaml # Docker compose file 12 | ├── Dockerfile # Dockerfile 13 | ├── poetry.lock # Poetry lock file 14 | ├── pyproject.toml # Poetry project configuration file 15 | ├── README.md # This file 16 | └── src 17 | ├── clients # MCP Clients code 18 | │   ├── pydantic_ai # MCP Client app with Pydantic AI and AWS Bedrock model (Requires AWS credentials) 19 | │   │   ├── __init__.py 20 | │   │   ├── main.py # app code 21 | │   │   └── prompts.py # LLM prompts 22 | │   ├── settings # app configs 23 | │   │   ├── __init__.py 24 | │   │   └── main.py 25 | │   └── slack # MCP Client with Slack Bolt app (requires Slack API token) 26 | │   ├── __init__.py 27 | │   ├── main.py # app code 28 | │   ├── manifest.yaml # slack app manifest file 29 | │   └── prompts.py # LLM prompts 30 | └── servers # MCP Servers code 31 | ├── download # Download HTML page MCP Server 32 | │   ├── __init__.py 33 | │   ├── main.py 34 | │   └── utils.py 35 | ├── online_search # MCP Server for Google Programmable Search (requires API key) 36 | │   ├── __init__.py 37 | │   └── main.py # app code 38 | ├── settings # app configs 39 | │   ├── __init__.py 40 | │   └── main.py 41 | └── today # MCP Server Returns today's date in various formats. Used to help LLM to calculate dates in relations to curreen date 42 | ├── __init__.py 43 | └── main.py # app code 44 | ``` 45 | 46 | ## MCP Servers 47 | 48 | ### Download 49 | 50 | This server downloads the HTML content of a given URL. It uses the `httpx` library to download the content. 51 | 52 | Then it converts the HTML content to Markdown text. So it is easier for LLM to read and understand the content. 53 | 54 | ### Online Search 55 | 56 | This server uses the Google Programmable Search API to search the web for a given query. It requires an API key to be set in the environment variable `GOOGLE_API_KEY` and `GOOGLE_SEARCH_ENGINE_ID` 57 | 58 | See [Google Programmable Search API](https://developers.google.com/custom-search/v1/overview) for more information. 59 | 60 | ### Today 61 | 62 | This server returns today's date in various formats. It is used to help LLM calculate dates in relation to the current date. 63 | 64 | For instance it will help LLM to answer about `What happened at the last Tuesday?` 65 | 66 | ## MCP Clients 67 | 68 | ### Pydantic AI 69 | 70 | This MCP client uses the Pydantic AI model from AWS Bedrock. It requires AWS credentials to be set in the environment variables. 71 | 72 | This is not interactive client, it loads the model and does one task to present in STDOUT. 73 | 74 | By default it is using Claude 3.7 model from AWS Bedrock. 75 | 76 | ### Slack 77 | 78 | This MCP client extends the Pydantic AI client to work with Slack. It uses the Slack Bolt library to create a Slack app. 79 | 80 | It requires a Slack API token to be set in the environment variable `SLACK_BOT_TOKEN` and `SLACK_APP_TOKEN`. You can create a Slack app and get the tokens from the Slack API using the manifest file `src/clients/slack/manifest.yaml` 81 | 82 | ## Running the code 83 | 84 | TBD 85 | -------------------------------------------------------------------------------- /src/servers/download/main.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | # -*- coding: utf-8 -*- 3 | 4 | import httpx 5 | from bs4 import BeautifulSoup 6 | 7 | from mcp.server.fastmcp import FastMCP 8 | from servers.settings import FASTMCP_DEFAULTS, DEFAULT_HEADERS, logger 9 | from servers.download.utils import get_text2html 10 | 11 | UNWANTED_HTML_TAGS = ["script", "style", "nav", "footer", "iframe", "noscript"] 12 | 13 | h2t = get_text2html() 14 | 15 | fastmcp_settings = { 16 | **FASTMCP_DEFAULTS, 17 | "dependencies": ["bs4", "text2html"], 18 | } 19 | mcp = FastMCP("OnlineSearch", settings=fastmcp_settings) 20 | 21 | @mcp.tool() 22 | def download_webpage(url: str, extract_main_content: bool = True, timeout: int = 15) -> str: 23 | """ 24 | Download and extract content from a webpage, converting it to formatted Markdown text. 25 | 26 | Use this tool when you need to: 27 | - Get detailed information from a specific webpage 28 | - Read article content from news sites, blogs, or documentation 29 | - Analyze text from a URL that was mentioned in conversation 30 | 31 | Parameters: 32 | url: The complete URL of the webpage to download (must include http:// or https://) 33 | extract_main_content: If True, attempts to find and extract only the main article content 34 | If False, returns the entire webpage content 35 | timeout: Maximum time in seconds to wait for the webpage to load (default: 15) 36 | 37 | Returns: 38 | A Markdown-formatted string containing: 39 | 1. The webpage title as a heading 40 | 2. The source URL 41 | 3. The extracted content with formatting preserved 42 | 43 | Example return value: 44 | ``` 45 | # Example Article Title 46 | 47 | Source: https://example.com/article 48 | 49 | This is the main content of the article with **formatting** preserved. 50 | 51 | - List items 52 | - Are maintained 53 | 54 | As are paragraph breaks and [links](https://example.com). 55 | ``` 56 | """ 57 | with httpx.Client(timeout=timeout, follow_redirects=True) as client: 58 | response = client.get(url, headers=DEFAULT_HEADERS) 59 | response.raise_for_status() 60 | 61 | bs = BeautifulSoup(response.text, 'html.parser') 62 | title_tag = bs.find('title') 63 | title = title_tag.text.strip() if title_tag else "" 64 | for element in bs(UNWANTED_HTML_TAGS): 65 | element.extract() 66 | 67 | content_html = None 68 | if extract_main_content: 69 | main_content = None 70 | for selector in ['main', 'article', '[role="main"]', '#main-content', '.main-content', '#content', '.content', '.post', '.entry']: 71 | main_content = bs.select_one(selector) 72 | if main_content: 73 | break 74 | 75 | if main_content: 76 | content_html = str(main_content) 77 | else: 78 | divs = bs.find_all('div') 79 | if divs: 80 | main_content = max(divs, key=lambda d: len(d.find_all('p'))) 81 | content_html = str(main_content) 82 | 83 | if not content_html: 84 | body = bs.find('body') 85 | content_html = str(body) if body else str(bs) 86 | 87 | markdown_content = h2t.handle(content_html) 88 | result = "" 89 | if title: 90 | result += f"# {title}\n\n" 91 | result += f"Source: {url}\n\n" 92 | result += markdown_content 93 | logger.info("Downloaded document") 94 | logger.info(result) 95 | return result 96 | 97 | if __name__ == "__main__": 98 | logger.info(f"Starting MCP server: {mcp.name}...") 99 | mcp.run(transport="stdio") # or "sse" 100 | -------------------------------------------------------------------------------- /poetry.lock: -------------------------------------------------------------------------------- 1 | # This file is 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