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A collection of MCP servers.

The Model Context Protocol (MCP) connects LLMs to tools and data. FastMCP is a full MCP application framework for servers, clients, and interactive apps. A server starts with ordinary Python:

0 release. You can try the pre-release branch here. > Read more about what's next for Portkey in our Series A announcement.

x64dbg-MCP Server is a native MCP (Model Context Protocol) plugin for x64dbg that exposes the debugger's full functionality over HTTP.

Learn Claude Code, build reliable agents, and scale their use safely. The website is the primary reading and discovery interface. This repository contains the canonical Markdown sources, reusable files, machine-readable indexes, and contribution history.

The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.

You can run these open-source MCP servers locally, or deploy them to Google Cloud (see below).

The simplest way to use FastAPI-MCP is to add an MCP server directly to your FastAPI application:

MCP is an open protocol that lets AI applications connect to external tools and data through a standardized client-server interface.

When an agent attempts a sensitive action—such as deploying infrastructure, modifying production data, publishing a package, invoking a privileged MCP tool, or performing another governed operation—Decionis evaluates the proposed action against deterministic, versioned policy…