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Transform any API into an MCP server in seconds, not hours
This repository contains a collection of Model Context Protocol (MCP) servers for Check Point security platforms, implemented in TypeScript.
A and to interact with Model Context Protocol (MCP) servers.
Query and Summarize your chat messages.
A remote MCP server for personal nutrition tracking — log meals with calories, macros, fiber, total sugar and caffeine, log water and body weight, review nutrition history, and import an existing...
A framework for testing MCP (Model Context Protocol) client and server implementations against the specification.
A pluggable, language-agnostic filter framework for Model Context Protocol (MCP) traffic. Each filter is a tiny HTTP service that decides whether a tool call should be allowed, blocked, modified, or...
is a command-line tool that seamlessly generates production-ready Model Context Protocol (MCP) server boilerplate from your OpenAPI specifications, enabling you to easily expose your existing APIs as...
A that lets you chat with large language models and seamlessly plug in external tools. Spin up multiple FastMCP servers (Weather & Currency) alongside a Streamlit client, all orchestrated with Docker...
A remote Cloudflare MCP server boilerplate with user authentication and Stripe for paid tools.
This is a Model Context Protocol (MCP) server for Excalidraw, providing API functionality for operating on Excalidraw drawings.
Canvas MCP Client is an built around an infinite, zoomable, and pannable canvas. It provides a unified interface for interacting with multiple MCP (Model Context Protocol) servers through a flexible,...
Model Context Protocol, or MCP, is an open protocol that standardizes how applications provide context to LLMs.
OmniMCP provides rich UI context and interaction capabilities to AI models through Model Context Protocol (MCP) and microsoft/OmniParser.
A distributed runtime system for federated AI services with edge computing capabilities.
Implementation of a model context protocol (MCP) client that connects to an MCP server using HTTP streamable (recommended) transport and displays the conversation in a chat-like UI.
A comprehensive collection of courses and tutorials for learning the - an open protocol that standardizes how AI applications connect to external tools and data sources.
This implementation is based on the Model Context Protocol (MCP) put forward by Anthropic. For more information on MCP, please have a look at their official documentation.
Index your documentation from across the sources and serve it via the Model Context Protocol (MCP) and REST API.
The is a professional-grade Python implementation of the . It provides a structured environment for Large Language Models (LLMs) to interact with external tools and knowledge bases through a...
⚠️ : This registry is currently in active development and testing phase. The API and data structure may change. Not recommended for production use yet.
guMCP is an open-source collection of Model Context Protocol (MCP) servers that can be run both remotely and locally.
MCP server that gets Claude to 97.9% (188/192) on a real coding benchmark at -80% active tokens and -83% wall time, vs 78.3% plain. Structural code navigation + persistent memory engine.
Official CLI for muapi.ai — generate images, videos & audio from the terminal. MCP server, 14 AI models, npm + pip installable.