Code Research MCP Server
Code Research MCP Server
A Model Context Protocol server that provides tools for searching and accessing programming resources across multiple platforms. This server integrates with popular developer platforms to help LLMs find relevant code examples, documentation, and packages.
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Features
Integrated Platforms
- Stack Overflow - Programming Q&A
- MDN Web Docs - Web development documentation
- GitHub - Code and repository search
- npm - JavaScript package registry
- PyPI - Python package index
Tools
search_stackoverflow
Search Stack Overflow for programming questions and answers.
- Parameters:
query
(required): Search query stringlimit
(optional): Maximum results (1-10, default: 5)
- Returns: Formatted list of questions with scores, answer counts, and excerpts
- Results are cached for 1 hour
search_mdn
Search MDN Web Docs for web development documentation.
- Parameters:
query
(required): Search query string
- Returns: Top 5 MDN documentation matches with summaries and links
- Results are cached for 1 hour
search_github
Search GitHub for both repositories and code examples.
- Parameters:
query
(required): Search query stringlanguage
(optional): Filter by programming languagelimit
(optional): Maximum results per category (1-10, default: 5)
- Returns: Two sections:
- Top repositories sorted by stars
- Relevant code files with repository context
- Results are cached for 1 hour
search_npm
Search npm registry for JavaScript packages.
- Parameters:
query
(required): Search query stringlimit
(optional): Maximum results (1-10, default: 5)
- Returns: Package information including version, description, and download stats
- Results are cached for 1 hour
search_pypi
Search PyPI for Python packages.
- Parameters:
query
(required): Search query string
- Returns: Detailed package information including version, author, and links
- Results are cached for 1 hour
search_all
Search all platforms simultaneously for comprehensive results.
- Parameters:
query
(required): Search query stringlimit
(optional): Maximum results per platform (1-5, default: 3)
- Returns: Combined results from all platforms:
- Stack Overflow questions and answers
- MDN documentation
- GitHub repositories and code
- npm packages
- PyPI packages
- Results are cached for 1 hour
- Note: Executes all searches in parallel for faster response
Requirements
- Node.js >= 20.11.0
- npm >= 10.0.0
- Optional: GitHub personal access token for higher API rate limits
Installation
Installing via Smithery
To install Code Research Server for Claude Desktop automatically via Smithery:
Manual Installation
- Clone the repository and install dependencies:
- Build the server:
- Configure MCP Settings:
Add the server configuration to your MCP settings file:
- VSCode:
~/.vscode-server/data/User/globalStorage/rooveterinaryinc.roo-cline/settings/cline_mcp_settings.json
- Claude Desktop:
- MacOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:
%APPDATA%/Claude/claude_desktop_config.json
- MacOS:
Note: Replace /absolute/path/to
with the actual path where you cloned the repository.
Development
Running in Development Mode
For development with auto-rebuild on changes:
Error Handling
The server implements robust error handling:
- API-specific error messages for each platform
- Rate limit handling for GitHub API
- Graceful fallbacks for service unavailability
- Cached responses to reduce API load
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. Use the MCP Inspector for detailed request/response monitoring:
The Inspector provides:
- Real-time request/response monitoring
- Tool execution tracing
- Error stack traces
- Performance metrics
Visit the provided URL in your browser to access the debugging interface.
Caching
Results are cached using node-cache
:
- Default TTL: 1 hour
- Separate cache keys per query/limit combination
- Platform-specific caching strategies
- Memory-efficient storage
Contributing
- Fork the repository
- Create a feature branch
- Commit your changes
- Push to the branch
- Create a Pull Request
License
AGPLv3
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Facilitates searching and accessing programming resources across platforms like Stack Overflow, MDN, GitHub, npm, and PyPI, aiding LLMs in finding code examples and documentation.