Browse and discover Model Context Protocol compatible clients.
This repository provides a LangChain client for the Model Context Protocol, enabling seamless connection to MCP servers. It converts MCP tools for use with LangChain, facilitating dynamic conversations.
This repository provides a sample FastAPI application that demonstrates the implementation of an MCP (presumably Message Consumer Protocol) client, showcasing how to integrate and utilize MCP functionality within a FastAPI-based service.
Litemcp simplifies SDK adoption into MCP by providing a lightweight client for integrating AI SDKs like LangChain and Agent SDK, emphasizing simplicity, flexibility, and minimal dependencies. Litemcp simplifies SDK adoption
This repository provides an example client implementation using the Vercel AI SDK and Model Context Protocol SDK to streamline LLM chat interactions within a browser environment, including tool discovery and usage.
This repository provides a Blightmud plugin that implements the MUD Client Protocol v2.1, supporting packages like client reporting, external MOO editing, and status bar updates. It also supports the early
This Rust crate provides a client implementation for the Model Context Protocol, enabling structured communication between language models and external tools with async/await support and capability negotiation. This Rust crate
Nonsense Client is an open-source Minecraft Protocol (MCP) client specifically designed for the 1.8.9 version of the game, though the repository's README file is currently incomplete and awaiting further development.
This repository contains a cracked and deobfuscated version of the "Warden Reborn 3.2" Minecraft client, exposing its skidded nature, malicious features like screenshotting desktops and IP grabbing, and overall poor quality.
wxpymoo is a work-in-progress wxPython MOO/MUD client aiming to replicate tkMOO-light's functionality with modern features like ANSI color support, MCP, MSSP, MTTS, MCCP, tabbed connections, and cross-platform compatibility.
Dive-APP is a cross-platform Flutter application inspired by Dive, bringing AI agent capabilities to mobile devices for enhanced productivity through natural language interaction and tool automation. Dive-APP is a cross-platform
OmniXy is a universal Model Context Protocol client in Python, enabling seamless integration with any LLM. It supports structured reasoning, robust prompt management, and adheres to the MCP specification for consistency.
This repository provides the `MCPServerManager` class for managing multiple MCP server instances, including lifecycle, connection management, and automatic tool discovery, using a JSON configuration file. This repository provides the `MCPServerManager`
This repository provides a client implementation for the Model Context Protocol (MCP) using the OpenAI API, offering real-time communication with MCP servers through a simple interface. This repository provides a
Chatmcp is a cross-platform AI chat client for MacOS, Windows, Linux, iOS, and Android, supporting various LLM models and MCP server integration, offering features like chat history and dark/light themes.