Awesome-mcp-servers Alternatives

servers

Model Context Protocol Servers

awesome-mcp-servers

Discontinued A collection of MCP servers. [GET https://api.github.com/repos/punkpeye/awesome-mcp-servers: 404 - Not Found // See: https://docs.github.com/rest]

github-mcp-server

GitHub's official MCP Server

python-sdk

The official Python SDK for Model Context Protocol servers and clients

fastmcp

🚀 The fast, Pythonic way to build MCP servers and clients.

registry

A community driven registry service for Model Context Protocol (MCP) servers.

mcpso

directory for Awesome MCP Servers

fastapi_mcp

Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!

klavis

Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale

awesome-mcp-clients

Discontinued A collection of MCP clients. [GET https://api.github.com/repos/punkpeye/awesome-mcp-clients: 404 - Not Found // See: https://docs.github.com/rest]

mcp-context-forge

An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.

radare2-mcp

MCP stdio server for radare2

GhidraMCP

MCP Server for Ghidra

mcp-use

Discontinued mcp-use is the easiest way to interact with mcp servers with custom agents [Moved to: https://github.com/pietrozullo/mcp-use] (by mcp-use)

MaIN.NET

NuGet package designed to make LLMs, RAG, and Agents first-class citizens in .NET

kubernetes-mcp-server

Model Context Protocol (MCP) server for Kubernetes and OpenShift

Unla

🧩 MCP Gateway - A lightweight gateway service that instantly transforms existing MCP Servers and APIs into MCP servers with zero code changes. Features Docker deployment and management UI, requiring no infrastructure modifications.

mcp-remote

mcpadapt

Unlock 650+ MCP servers tools in your favorite agentic framework.

solace-agent-mesh

An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.