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Code Research Mcp Server
What is Code Research Mcp Server
Code Research MCP Server is a Model Context Protocol server designed to provide tools for searching and accessing programming resources across multiple platforms, integrating with popular developer platforms to assist LLMs in finding relevant code examples, documentation, and packages.
Use cases
Use cases for Code Research MCP Server include developers seeking quick answers to programming questions, finding relevant documentation, searching for code examples on GitHub, and discovering packages on npm and PyPI.
How to use
To use Code Research MCP Server, you can install it via Smithery or manually by cloning the repository and installing dependencies. After installation, configure the MCP settings in your development environment to start using the server’s search functionalities.
Key features
Key features include integration with Stack Overflow, MDN Web Docs, GitHub, npm, and PyPI; various search tools for programming questions, documentation, code examples, and packages; caching of results for improved performance; and robust error handling.
Where to use
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Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Code Research Mcp Server
Code Research MCP Server is a Model Context Protocol server designed to provide tools for searching and accessing programming resources across multiple platforms, integrating with popular developer platforms to assist LLMs in finding relevant code examples, documentation, and packages.
Use cases
Use cases for Code Research MCP Server include developers seeking quick answers to programming questions, finding relevant documentation, searching for code examples on GitHub, and discovering packages on npm and PyPI.
How to use
To use Code Research MCP Server, you can install it via Smithery or manually by cloning the repository and installing dependencies. After installation, configure the MCP settings in your development environment to start using the server’s search functionalities.
Key features
Key features include integration with Stack Overflow, MDN Web Docs, GitHub, npm, and PyPI; various search tools for programming questions, documentation, code examples, and packages; caching of results for improved performance; and robust error handling.
Where to use
undefined
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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.
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:
npx -y @smithery/cli install @nahmanmate/code-research-mcp-server --client claude
Manual Installation
- Clone the repository and install dependencies:
git clone https://github.com/nahmanmate/code-research-mcp-server.git
cd code-research-server
npm install
- Build the server:
npm run build
- 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:
npm run watch
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:
npm run inspector
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
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










