🌐 Combine multiple MCP servers into a single interface with OneMCP, reducing token usage and enabling efficient tool discovery and management.

Production-ready Model Context Protocol (MCP) servers in Python, Go, and Rust for VS Code integration. Enables AI systems to interact with tools via standardized interfaces.

ToolHive makes deploying MCP servers easy, secure and fun

Mimir - Fully open and customizable memory bank with semantic vector search capabilities for locally indexed files (Code Intelligence) and stored memories that are shared across sessions and chat contexts allowing worker agent to learn from errors in past runs. Includes Drag and Drop multi-agent orchestration

Teamwork.com MCP server

Run MATLAB® using AI applications with the official MATLAB MCP Server from MathWorks®. This MCP server for MATLAB supports a wide range of coding agents like Claude Code® and Visual Studio® Code.

Self-hosted MCP Gateway and Registry for AI agents

MCP tool management and workflow proxy

MCP server is used to create a secure code sandbox environment, execute code in Docker containers, and provide code execution capabilities for AI applications.

One MCP Aggregator

A CLI tool to manage MCP (Model Context Protocol) servers configuration for Claude Desktop via YAML files.

MCP (Model Context Protocol) server which provides utilities to work with time and dates, with natural language, multiple formats and timezone convertion capabilities

Sqlite MCP server

MCP HTTP proxy and SSE server written in golang that aggregates tools from external MCP CLI servers and exposes them over a single HTTP/SSE endpoint.

MCP Gateway and Registry for AI agents.

An MCP server for YoLink smart devices

A high-performance Model Context Protocol (MCP) server built with Go that provides POSIX system monitoring capabilities for Claude Desktop, Cursor, and other MCP clients.

a web logging proxy for MCP client-server communication

A Go adapter that bridges LangChain Go tools with Model Context Protocol (MCP) servers.

🤖 MCP server that gives AI agents deep context about your project - coding standards, knowledge base, todos, database schema & history. Keep your AI assistant consistent and context-aware.