Code Research MCP Server
by MCP-Mirror
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.
Last updated: N/A
What is Code Research MCP Server?
The Code Research MCP Server is a tool designed to help LLMs find relevant programming resources. It integrates with platforms like Stack Overflow, MDN Web Docs, GitHub, npm, and PyPI to provide comprehensive search capabilities for code examples, documentation, and packages.
How to use Code Research MCP Server?
The server can be installed either via Smithery or manually. After installation, configure your MCP settings file (VSCode or Claude Desktop) to include the server. The server provides various tools, such as search_stackoverflow
, search_mdn
, search_github
, search_npm
, search_pypi
, and search_all
, each with specific parameters for querying the integrated platforms.
Key features of Code Research MCP Server
Integrated Platforms (Stack Overflow, MDN, GitHub, npm, PyPI)
Comprehensive search tools for various programming resources
Cached results to reduce API load and improve performance
Error handling and rate limit management
Debugging tools with MCP Inspector
Use cases of Code Research MCP Server
Helping LLMs find relevant code examples for code generation
Providing documentation snippets for code understanding
Discovering and utilizing relevant packages for software development
Troubleshooting programming issues with Stack Overflow answers
Quickly accessing web development documentation from MDN
FAQ from Code Research MCP Server
What platforms are integrated?
What platforms are integrated?
Stack Overflow, MDN Web Docs, GitHub, npm, and PyPI are integrated.
How is the server installed?
How is the server installed?
The server can be installed via Smithery or manually by cloning the repository and configuring MCP settings.
Are search results cached?
Are search results cached?
Yes, results are cached for 1 hour to reduce API load.
What is the MCP Inspector?
What is the MCP Inspector?
The MCP Inspector is a debugging tool for monitoring requests and responses, tracing tool execution, and viewing error stack traces.
How can I contribute to the project?
How can I contribute to the project?
Fork the repository, create a feature branch, commit your changes, push to the branch, and create a Pull Request.