Code Research MCP Server
@MCP-Mirror
About Code Research MCP Server
Mirror of
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"nahmanmate_code-research-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@nahmanmate/code-research-mcp-server",
"--client",
"claude"
]
}
}
}Tools
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Overview
What is Code Research MCP Server?
Code Research MCP Server is a Model Context Protocol server that provides tools for searching and accessing programming resources across multiple platforms. It integrates with Stack Overflow, MDN Web Docs, GitHub, npm, and PyPI to help LLMs find relevant code examples, documentation, and packages.
How to use Code Research MCP Server?
Install via Smithery or clone the repository, run npm install and npm run build, then add the server configuration to your MCP settings file (e.g., for Claude Desktop or VSCode). Optionally set the GITHUB_TOKEN environment variable to avoid GitHub API rate limits.
Key features of Code Research MCP Server
- Search Stack Overflow, MDN, GitHub, npm, and PyPI.
- Dedicated tools for each platform plus
search_allfor simultaneous queries. - Result caching with 1-hour TTL and platform‑specific strategies.
- Parallel execution for faster multi‑platform searches.
- Robust error handling and graceful fallbacks.
- Debugging via MCP Inspector for real‑time monitoring.
Use cases of Code Research MCP Server
- Find code examples and solutions from Stack Overflow and GitHub.
- Look up web development documentation on MDN Web Docs.
- Discover JavaScript packages on npm or Python packages on PyPI.
- Perform comprehensive research across all platforms with one command.
FAQ from Code Research MCP Server
What platforms does Code Research MCP Server integrate with?
It integrates with Stack Overflow, MDN Web Docs, GitHub, npm, and PyPI.
Do I need API keys to use the server?
No API keys are required for most platforms. An optional GitHub personal access token can be set via the GITHUB_TOKEN environment variable to prevent rate limiting.
How are search results cached?
Results are cached using node-cache with a default TTL of 1 hour. Each query and limit combination gets a separate cache key for efficient storage.
Can I search all platforms at once?
Yes, the search_all tool executes searches on all five platforms simultaneously and returns combined results.
What are the runtime requirements?
Node.js version 20.11.0 or higher and npm version 10.0.0 or higher are required.
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