About Code Research MCP Server
Code Research MCP Server gives LLMs a way to search programming resources across several platforms. It brings together code examples, documentation, Q&A, and package details, with cached results for repeated queries.
Key features
- 01Search Stack Overflow questions and answers
- 02Search MDN documentation
- 03Search GitHub repositories and code
- 04Look up npm and PyPI packages
- 05Search platforms in parallel with cached results
Use cases
- 01Finding answers to programming questions
- 02Looking up web development documentation
- 03Comparing repositories, examples, or packages
MCP support
It exposes cross-platform programming-resource search tools to MCP clients, including individual source searches and a combined search across all platforms.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMECode 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:
{
"mcpServers": {
"code-research": {
"command": "node",
"args": ["/absolute/path/to/code-research-mcp-server/build/index.js"],
"env": {
"GITHUB_TOKEN": "your_github_token" // Optional: Prevents rate limiting
},
"disabled": false,
"alwaysAllow": []
}
}
}
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
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.