├── .python-version ├── src └── duckduckgo_mcp_server │ ├── __init__.py │ └── server.py ├── smithery.yaml ├── Dockerfile ├── pyproject.toml ├── LICENSE ├── .github └── workflows │ └── python-publish.yml ├── README.md ├── .gitignore └── uv.lock /.python-version: -------------------------------------------------------------------------------- 1 | 3.13.2 2 | -------------------------------------------------------------------------------- /src/duckduckgo_mcp_server/__init__.py: -------------------------------------------------------------------------------- 1 | __version__ = "0.1.1" 2 | -------------------------------------------------------------------------------- /smithery.yaml: -------------------------------------------------------------------------------- 1 | # Smithery configuration file: https://smithery.ai/docs/config#smitheryyaml 2 | 3 | startCommand: 4 | type: stdio 5 | configSchema: 6 | # JSON Schema defining the configuration options for the MCP. 7 | {} 8 | commandFunction: 9 | # A JS function that produces the CLI command based on the given config to start the MCP on stdio. 10 | |- 11 | (config) => ({ command: 'python', args: ['-m', 'duckduckgo_mcp_server.server'] }) 12 | exampleConfig: {} 13 | -------------------------------------------------------------------------------- /Dockerfile: -------------------------------------------------------------------------------- 1 | # Generated by https://smithery.ai. See: https://smithery.ai/docs/config#dockerfile 2 | FROM python:3.11-alpine 3 | 4 | # Install system dependencies 5 | RUN apk add --no-cache gcc musl-dev linux-headers 6 | 7 | # Set working directory 8 | WORKDIR /app 9 | 10 | # Copy all files 11 | COPY . /app 12 | 13 | # Install Python dependencies 14 | RUN pip install --upgrade pip \ 15 | && pip install --no-cache-dir . 16 | 17 | # Expose port if needed (MCP uses stdio, so not required) 18 | 19 | # Run the MCP server 20 | CMD ["python", "-m", "duckduckgo_mcp_server.server"] 21 | -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [project] 2 | name = "duckduckgo-mcp-server" 3 | version = "0.1.1" 4 | description = "MCP Server for searching via DuckDuckGo" 5 | readme = "README.md" 6 | authors = [{ name = "Nick Clyde", email = "nick@clyde.tech" }] 7 | requires-python = ">=3.10" 8 | dependencies = ["beautifulsoup4>=4.13.3", "httpx>=0.28.1", "mcp[cli]>=1.3.0"] 9 | classifiers = [ 10 | "Development Status :: 3 - Alpha", 11 | "Intended Audience :: Developers", 12 | "License :: OSI Approved :: MIT License", 13 | "Programming Language :: Python :: 3", 14 | "Programming Language :: Python :: 3.10", 15 | "Programming Language :: Python :: 3.11", 16 | "Programming Language :: Python :: 3.12", 17 | "Programming Language :: Python :: 3.13", 18 | ] 19 | 20 | [project.urls] 21 | Homepage = "https://github.com/nickclyde/duckduckgo-mcp-server" 22 | Issues = "https://github.com/nickclyde/duckduckgo-mcp-server/issues" 23 | 24 | [project.scripts] 25 | duckduckgo-mcp-server = "duckduckgo_mcp_server.server:main" 26 | 27 | [build-system] 28 | requires = ["hatchling"] 29 | build-backend = "hatchling.build" 30 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2025 Nick Clyde 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /.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: Build release distributions 30 | run: | 31 | # NOTE: put your own distribution build steps here. 32 | python -m pip install build 33 | python -m build 34 | 35 | - name: Upload distributions 36 | uses: actions/upload-artifact@v4 37 | with: 38 | name: release-dists 39 | path: dist/ 40 | 41 | pypi-publish: 42 | runs-on: ubuntu-latest 43 | needs: 44 | - release-build 45 | permissions: 46 | # IMPORTANT: this permission is mandatory for trusted publishing 47 | id-token: write 48 | 49 | # Dedicated environments with protections for publishing are strongly recommended. 50 | # For more information, see: https://docs.github.com/en/actions/deployment/targeting-different-environments/using-environments-for-deployment#deployment-protection-rules 51 | environment: 52 | name: pypi 53 | # OPTIONAL: uncomment and update to include your PyPI project URL in the deployment status: 54 | # url: https://pypi.org/p/YOURPROJECT 55 | # 56 | # ALTERNATIVE: if your GitHub Release name is the PyPI project version string 57 | # ALTERNATIVE: exactly, uncomment the following line instead: 58 | # url: https://pypi.org/project/YOURPROJECT/${{ github.event.release.name }} 59 | 60 | steps: 61 | - name: Retrieve release distributions 62 | uses: actions/download-artifact@v4 63 | with: 64 | name: release-dists 65 | path: dist/ 66 | 67 | - name: Publish release distributions to PyPI 68 | uses: pypa/gh-action-pypi-publish@release/v1 69 | with: 70 | packages-dir: dist/ 71 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # DuckDuckGo Search MCP Server 2 | 3 | [![smithery badge](https://smithery.ai/badge/@nickclyde/duckduckgo-mcp-server)](https://smithery.ai/server/@nickclyde/duckduckgo-mcp-server) 4 | 5 | A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing. 6 | 7 | 8 | DuckDuckGo Server MCP server 9 | 10 | 11 | ## Features 12 | 13 | - **Web Search**: Search DuckDuckGo with advanced rate limiting and result formatting 14 | - **Content Fetching**: Retrieve and parse webpage content with intelligent text extraction 15 | - **Rate Limiting**: Built-in protection against rate limits for both search and content fetching 16 | - **Error Handling**: Comprehensive error handling and logging 17 | - **LLM-Friendly Output**: Results formatted specifically for large language model consumption 18 | 19 | ## Installation 20 | 21 | ### Installing via Smithery 22 | 23 | To install DuckDuckGo Search Server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@nickclyde/duckduckgo-mcp-server): 24 | 25 | ```bash 26 | npx -y @smithery/cli install @nickclyde/duckduckgo-mcp-server --client claude 27 | ``` 28 | 29 | ### Installing via `uv` 30 | 31 | Install directly from PyPI using `uv`: 32 | 33 | ```bash 34 | uv pip install duckduckgo-mcp-server 35 | ``` 36 | 37 | ## Usage 38 | 39 | ### Running with Claude Desktop 40 | 41 | 1. Download [Claude Desktop](https://claude.ai/download) 42 | 2. Create or edit your Claude Desktop configuration: 43 | - On macOS: `~/Library/Application Support/Claude/claude_desktop_config.json` 44 | - On Windows: `%APPDATA%\Claude\claude_desktop_config.json` 45 | 46 | Add the following configuration: 47 | 48 | ```json 49 | { 50 | "mcpServers": { 51 | "ddg-search": { 52 | "command": "uvx", 53 | "args": ["duckduckgo-mcp-server"] 54 | } 55 | } 56 | } 57 | ``` 58 | 59 | 3. Restart Claude Desktop 60 | 61 | ### Development 62 | 63 | For local development, you can use the MCP CLI: 64 | 65 | ```bash 66 | # Run with the MCP Inspector 67 | mcp dev server.py 68 | 69 | # Install locally for testing with Claude Desktop 70 | mcp install server.py 71 | ``` 72 | ## Available Tools 73 | 74 | ### 1. Search Tool 75 | 76 | ```python 77 | async def search(query: str, max_results: int = 10) -> str 78 | ``` 79 | 80 | Performs a web search on DuckDuckGo and returns formatted results. 81 | 82 | **Parameters:** 83 | - `query`: Search query string 84 | - `max_results`: Maximum number of results to return (default: 10) 85 | 86 | **Returns:** 87 | Formatted string containing search results with titles, URLs, and snippets. 88 | 89 | ### 2. Content Fetching Tool 90 | 91 | ```python 92 | async def fetch_content(url: str) -> str 93 | ``` 94 | 95 | Fetches and parses content from a webpage. 96 | 97 | **Parameters:** 98 | - `url`: The webpage URL to fetch content from 99 | 100 | **Returns:** 101 | Cleaned and formatted text content from the webpage. 102 | 103 | ## Features in Detail 104 | 105 | ### Rate Limiting 106 | 107 | - Search: Limited to 30 requests per minute 108 | - Content Fetching: Limited to 20 requests per minute 109 | - Automatic queue management and wait times 110 | 111 | ### Result Processing 112 | 113 | - Removes ads and irrelevant content 114 | - Cleans up DuckDuckGo redirect URLs 115 | - Formats results for optimal LLM consumption 116 | - Truncates long content appropriately 117 | 118 | ### Error Handling 119 | 120 | - Comprehensive error catching and reporting 121 | - Detailed logging through MCP context 122 | - Graceful degradation on rate limits or timeouts 123 | 124 | ## Contributing 125 | 126 | Issues and pull requests are welcome! Some areas for potential improvement: 127 | 128 | - Additional search parameters (region, language, etc.) 129 | - Enhanced content parsing options 130 | - Caching layer for frequently accessed content 131 | - Additional rate limiting strategies 132 | 133 | ## License 134 | 135 | This project is licensed under the MIT License. -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | share/python-wheels/ 24 | *.egg-info/ 25 | .installed.cfg 26 | *.egg 27 | MANIFEST 28 | 29 | # PyInstaller 30 | # Usually these files are written by a python script from a template 31 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 32 | *.manifest 33 | *.spec 34 | 35 | # Installer logs 36 | pip-log.txt 37 | pip-delete-this-directory.txt 38 | 39 | # Unit test / coverage reports 40 | htmlcov/ 41 | .tox/ 42 | .nox/ 43 | .coverage 44 | .coverage.* 45 | .cache 46 | nosetests.xml 47 | coverage.xml 48 | *.cover 49 | *.py,cover 50 | .hypothesis/ 51 | .pytest_cache/ 52 | cover/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | .pybuilder/ 76 | target/ 77 | 78 | # Jupyter Notebook 79 | .ipynb_checkpoints 80 | 81 | # IPython 82 | profile_default/ 83 | ipython_config.py 84 | 85 | # pyenv 86 | # For a library or package, you might want to ignore these files since the code is 87 | # intended to run in multiple environments; otherwise, check them in: 88 | # .python-version 89 | 90 | # pipenv 91 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 92 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 93 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 94 | # install all needed dependencies. 95 | #Pipfile.lock 96 | 97 | # UV 98 | # Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control. 99 | # This is especially recommended for binary packages to ensure reproducibility, and is more 100 | # commonly ignored for libraries. 101 | #uv.lock 102 | 103 | # poetry 104 | # Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. 105 | # This is especially recommended for binary packages to ensure reproducibility, and is more 106 | # commonly ignored for libraries. 107 | # https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control 108 | #poetry.lock 109 | 110 | # pdm 111 | # Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. 112 | #pdm.lock 113 | # pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it 114 | # in version control. 115 | # https://pdm.fming.dev/latest/usage/project/#working-with-version-control 116 | .pdm.toml 117 | .pdm-python 118 | .pdm-build/ 119 | 120 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm 121 | __pypackages__/ 122 | 123 | # Celery stuff 124 | celerybeat-schedule 125 | celerybeat.pid 126 | 127 | # SageMath parsed files 128 | *.sage.py 129 | 130 | # Environments 131 | .env 132 | .venv 133 | env/ 134 | venv/ 135 | ENV/ 136 | env.bak/ 137 | venv.bak/ 138 | 139 | # Spyder project settings 140 | .spyderproject 141 | .spyproject 142 | 143 | # Rope project settings 144 | .ropeproject 145 | 146 | # mkdocs documentation 147 | /site 148 | 149 | # mypy 150 | .mypy_cache/ 151 | .dmypy.json 152 | dmypy.json 153 | 154 | # Pyre type checker 155 | .pyre/ 156 | 157 | # pytype static type analyzer 158 | .pytype/ 159 | 160 | # Cython debug symbols 161 | cython_debug/ 162 | 163 | # PyCharm 164 | # JetBrains specific template is maintained in a separate JetBrains.gitignore that can 165 | # be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore 166 | # and can be added to the global gitignore or merged into this file. For a more nuclear 167 | # option (not recommended) you can uncomment the following to ignore the entire idea folder. 168 | #.idea/ 169 | 170 | # PyPI configuration file 171 | .pypirc 172 | -------------------------------------------------------------------------------- /src/duckduckgo_mcp_server/server.py: -------------------------------------------------------------------------------- 1 | from mcp.server.fastmcp import FastMCP, Context 2 | import httpx 3 | from bs4 import BeautifulSoup 4 | from typing import List, Dict, Optional, Any 5 | from dataclasses import dataclass 6 | import urllib.parse 7 | import sys 8 | import traceback 9 | import asyncio 10 | from datetime import datetime, timedelta 11 | import time 12 | import re 13 | 14 | 15 | @dataclass 16 | class SearchResult: 17 | title: str 18 | link: str 19 | snippet: str 20 | position: int 21 | 22 | 23 | class RateLimiter: 24 | def __init__(self, requests_per_minute: int = 30): 25 | self.requests_per_minute = requests_per_minute 26 | self.requests = [] 27 | 28 | async def acquire(self): 29 | now = datetime.now() 30 | # Remove requests older than 1 minute 31 | self.requests = [ 32 | req for req in self.requests if now - req < timedelta(minutes=1) 33 | ] 34 | 35 | if len(self.requests) >= self.requests_per_minute: 36 | # Wait until we can make another request 37 | wait_time = 60 - (now - self.requests[0]).total_seconds() 38 | if wait_time > 0: 39 | await asyncio.sleep(wait_time) 40 | 41 | self.requests.append(now) 42 | 43 | 44 | class DuckDuckGoSearcher: 45 | BASE_URL = "https://html.duckduckgo.com/html" 46 | HEADERS = { 47 | "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36" 48 | } 49 | 50 | def __init__(self): 51 | self.rate_limiter = RateLimiter() 52 | 53 | def format_results_for_llm(self, results: List[SearchResult]) -> str: 54 | """Format results in a natural language style that's easier for LLMs to process""" 55 | if not results: 56 | return "No results were found for your search query. This could be due to DuckDuckGo's bot detection or the query returned no matches. Please try rephrasing your search or try again in a few minutes." 57 | 58 | output = [] 59 | output.append(f"Found {len(results)} search results:\n") 60 | 61 | for result in results: 62 | output.append(f"{result.position}. {result.title}") 63 | output.append(f" URL: {result.link}") 64 | output.append(f" Summary: {result.snippet}") 65 | output.append("") # Empty line between results 66 | 67 | return "\n".join(output) 68 | 69 | async def search( 70 | self, query: str, ctx: Context, max_results: int = 10 71 | ) -> List[SearchResult]: 72 | try: 73 | # Apply rate limiting 74 | await self.rate_limiter.acquire() 75 | 76 | # Create form data for POST request 77 | data = { 78 | "q": query, 79 | "b": "", 80 | "kl": "", 81 | } 82 | 83 | await ctx.info(f"Searching DuckDuckGo for: {query}") 84 | 85 | async with httpx.AsyncClient() as client: 86 | response = await client.post( 87 | self.BASE_URL, data=data, headers=self.HEADERS, timeout=30.0 88 | ) 89 | response.raise_for_status() 90 | 91 | # Parse HTML response 92 | soup = BeautifulSoup(response.text, "html.parser") 93 | if not soup: 94 | await ctx.error("Failed to parse HTML response") 95 | return [] 96 | 97 | results = [] 98 | for result in soup.select(".result"): 99 | title_elem = result.select_one(".result__title") 100 | if not title_elem: 101 | continue 102 | 103 | link_elem = title_elem.find("a") 104 | if not link_elem: 105 | continue 106 | 107 | title = link_elem.get_text(strip=True) 108 | link = link_elem.get("href", "") 109 | 110 | # Skip ad results 111 | if "y.js" in link: 112 | continue 113 | 114 | # Clean up DuckDuckGo redirect URLs 115 | if link.startswith("//duckduckgo.com/l/?uddg="): 116 | link = urllib.parse.unquote(link.split("uddg=")[1].split("&")[0]) 117 | 118 | snippet_elem = result.select_one(".result__snippet") 119 | snippet = snippet_elem.get_text(strip=True) if snippet_elem else "" 120 | 121 | results.append( 122 | SearchResult( 123 | title=title, 124 | link=link, 125 | snippet=snippet, 126 | position=len(results) + 1, 127 | ) 128 | ) 129 | 130 | if len(results) >= max_results: 131 | break 132 | 133 | await ctx.info(f"Successfully found {len(results)} results") 134 | return results 135 | 136 | except httpx.TimeoutException: 137 | await ctx.error("Search request timed out") 138 | return [] 139 | except httpx.HTTPError as e: 140 | await ctx.error(f"HTTP error occurred: {str(e)}") 141 | return [] 142 | except Exception as e: 143 | await ctx.error(f"Unexpected error during search: {str(e)}") 144 | traceback.print_exc(file=sys.stderr) 145 | return [] 146 | 147 | 148 | class WebContentFetcher: 149 | def __init__(self): 150 | self.rate_limiter = RateLimiter(requests_per_minute=20) 151 | 152 | async def fetch_and_parse(self, url: str, ctx: Context) -> str: 153 | """Fetch and parse content from a webpage""" 154 | try: 155 | await self.rate_limiter.acquire() 156 | 157 | await ctx.info(f"Fetching content from: {url}") 158 | 159 | async with httpx.AsyncClient() as client: 160 | response = await client.get( 161 | url, 162 | headers={ 163 | "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36" 164 | }, 165 | follow_redirects=True, 166 | timeout=30.0, 167 | ) 168 | response.raise_for_status() 169 | 170 | # Parse the HTML 171 | soup = BeautifulSoup(response.text, "html.parser") 172 | 173 | # Remove script and style elements 174 | for element in soup(["script", "style", "nav", "header", "footer"]): 175 | element.decompose() 176 | 177 | # Get the text content 178 | text = soup.get_text() 179 | 180 | # Clean up the text 181 | lines = (line.strip() for line in text.splitlines()) 182 | chunks = (phrase.strip() for line in lines for phrase in line.split(" ")) 183 | text = " ".join(chunk for chunk in chunks if chunk) 184 | 185 | # Remove extra whitespace 186 | text = re.sub(r"\s+", " ", text).strip() 187 | 188 | # Truncate if too long 189 | if len(text) > 8000: 190 | text = text[:8000] + "... [content truncated]" 191 | 192 | await ctx.info( 193 | f"Successfully fetched and parsed content ({len(text)} characters)" 194 | ) 195 | return text 196 | 197 | except httpx.TimeoutException: 198 | await ctx.error(f"Request timed out for URL: {url}") 199 | return "Error: The request timed out while trying to fetch the webpage." 200 | except httpx.HTTPError as e: 201 | await ctx.error(f"HTTP error occurred while fetching {url}: {str(e)}") 202 | return f"Error: Could not access the webpage ({str(e)})" 203 | except Exception as e: 204 | await ctx.error(f"Error fetching content from {url}: {str(e)}") 205 | return f"Error: An unexpected error occurred while fetching the webpage ({str(e)})" 206 | 207 | 208 | # Initialize FastMCP server 209 | mcp = FastMCP("ddg-search") 210 | searcher = DuckDuckGoSearcher() 211 | fetcher = WebContentFetcher() 212 | 213 | 214 | @mcp.tool() 215 | async def search(query: str, ctx: Context, max_results: int = 10) -> str: 216 | """ 217 | Search DuckDuckGo and return formatted results. 218 | 219 | Args: 220 | query: The search query string 221 | max_results: Maximum number of results to return (default: 10) 222 | ctx: MCP context for logging 223 | """ 224 | try: 225 | results = await searcher.search(query, ctx, max_results) 226 | return searcher.format_results_for_llm(results) 227 | except Exception as e: 228 | traceback.print_exc(file=sys.stderr) 229 | return f"An error occurred while searching: {str(e)}" 230 | 231 | 232 | @mcp.tool() 233 | async def fetch_content(url: str, ctx: Context) -> str: 234 | """ 235 | Fetch and parse content from a webpage URL. 236 | 237 | Args: 238 | url: The webpage URL to fetch content from 239 | ctx: MCP context for logging 240 | """ 241 | return await fetcher.fetch_and_parse(url, ctx) 242 | 243 | 244 | def main(): 245 | mcp.run() 246 | 247 | 248 | if __name__ == "__main__": 249 | main() 250 | -------------------------------------------------------------------------------- /uv.lock: 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