claude-mcp-server-two
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The Claude MCP Server is a project that implements a server adhering to the Model Context Protocol (MCP), providing a standardized way to integrate AI tools and models.
The Claude MCP Server is designed to facilitate seamless integration of AI tools and models by adhering to the Model Context Protocol (MCP). It supports multiple AI providers, including OpenAI, Anthropic, and Google, allowing users to configure their preferred provider and manage API keys through environment variables. The server is equipped with a variety of built-in tools for tasks such as code generation, web requests, web scraping, code analysis, and more. It offers both Node.js and Python server implementations, with Node.js being the primary option. The project supports containerization through Docker, making deployment and development straightforward. Additionally, it includes comprehensive testing with Jest and pytest, as well as linting and formatting tools like ESLint and Prettier to ensure code quality.
Features
- MCP Compliance: Designed to work with MCP clients, enabling seamless tool integration.
- Multi-Provider Support: Utilizes OpenAI, Anthropic, and Google's Gemini models. Configure the default provider and API keys via environment variables.
- Extensible Tooling: Includes a framework for easily adding and managing custom tools, such as code generation and web scraping.
- Node.js and Python Servers: Includes both Node.js (primary) and Python (FastAPI) server implementations.
- Containerization: Docker support for easy deployment and development.
Tools
llm_code_generate
Tool for generating code using language models.
web_request
Tool for making web requests.
web_scrape
Tool for scraping web content.
code_analyze
Tool for analyzing code.
code_document
Tool for generating code documentation.
code_improve
Tool for suggesting code improvements.