A Model Context Protocol (MCP) server built with the mcp-framework for developing and managing custom tools. It provides a structured foundation for building and integrating modular components like data processors and API clients into Claude Desktop.
A production-ready Model Context Protocol server built with Python and FastMCP, featuring modular architecture, centralized tool registration, Docker support, and a suite of utility tools for AI applications.
Local MCP server that wraps the headless Claude Code CLI as MCP tools, providing stateless access to Claude's coding capabilities through prompt-based interactions. It enables users to execute Claude Code commands with various prompt formats and structured outputs directly from MCP clients.
A Model Context Protocol server built with FastMCP that features dynamic tool loading and modular management via a dedicated tool directory. It supports both stdio and HTTP transport modes, enabling efficient development and deployment of custom MCP tools.
An educational implementation of a Model Context Protocol server that demonstrates how to build a functional MCP server for integrating with various LLM clients like Claude Desktop.
A dual-transport MCP server that exposes your API as tools to LLM clients, supporting both stdio transport for local clients like Claude Desktop and HTTP/SSE transport for remote clients like OpenAI's Responses API.
