Code Research MCP Server
@MCP-Mirror
Code Research MCP Server について
Mirror of
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"nahmanmate_code-research-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@nahmanmate/code-research-mcp-server",
"--client",
"claude"
]
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
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.
「データと分析」の他のコンテンツ
🎓 Semantic Scholar MCP Server
JackKuo666🔍 This project implements a Model Context Protocol (MCP) server for interacting with the Semantic Scholar API. It provides tools for searching papers, retrieving paper and author details, and fetching citations and references.
MCP.science: Open Source MCP Servers for Scientific Research 🔍📚
pathintegral-instituteOpen Source MCP Servers for Scientific Research
PubMed MCP Server
cyanheadsSearch PubMed/Europe PMC, fetch articles and full text (PMC/EPMC/Unpaywall), citations, MeSH terms via MCP. STDIO or Streamable HTTP.
🪐✨ Jupyter MCP Server
datalayer🪐 🔧 Model Context Protocol (MCP) Server for Jupyter.
Federal Reserve Economic Data MCP Server
stefanoamorelliOpen-source FRED MCP Server (Federal Reserve Economic Data)
コメント