Code Research MCP Server

Name: Code Research MCP Server
Author: MCP-Mirror

@MCP-Mirror

代码仓库

关于 Code Research MCP Server

Mirror of

#code-research #mcp-server #developer-tools

基本信息

分类

数据与分析

传输方式

stdio

发布者

MCP-Mirror

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "nahmanmate_code-research-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@nahmanmate/code-research-mcp-server",
        "--client",
        "claude"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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_all for 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.