MCP Clients

OmniMCP uses Microsoft OmniParser and Model Context Protocol (MCP) to provide AI models with rich UI context and powerful interaction capabilities.

基于MCP(Model Context Protocol)的智能聊天应用，支持Web和桌面环境。集成OpenAI/Anthropic API，提供MCP服务器的所有工具能力。简洁现代的UI设计，支持跨平台部署。

This repository showcases a Model Context Protocol (MCP) client built with Gradio, demonstrating interaction with MCP servers via STDIO and SSE for seamless tool integration within a user-friendly interface.

This repository provides a basic MCP client implementation that leverages the Ollama API to retrieve MCP data, replacing the original Claude-specific code and currently supporting only stdio transport for communication.

MCP (Model Context Protocol) Servers authored and maintained by the PulseMCP team. We build reliable servers thoughtfully designed specifically for MCP Client-powered workflows.

FastAPI server implementing MCP protocol Browser automation via browser-use library.

description: "An MCP server that enables LLMs to 'see' what's happening in browser-based games and applications through vectorized canvas visualization and debug information.

This repository provides a minimal MCP client library, enabling LLM UIs to support the Model Context Protocol through an OpenAI-compatible API. It facilitates integration with locally runnable inference engines.

This repository demonstrates using the Model Context Protocol with OpenAI to build a chat-based agent. It provides a starting point for projects, but users should be aware of potential token usage costs.

ArifOS — Constitutional MCP kernel for governed AI execution. AAA architecture: Architect · Auditor · Agent. Built for the open-source agentic era.

This repository provides a REST API and CLI client for interacting with Model Context Protocol (MCP) servers, leveraging LangChain for LLM prompts and supporting various LLM providers. It enables collaboration

Telegram MCP Server and HTTP-MTProto bridge | Multi-user, web setup, Docker and MTProto-Proxy ready

This repository demonstrates a simple cross-platform MCP client built with Avalonia/C#. It connects to MCP servers, enabling users to leverage AI for various tasks, showcasing integration with services like DuckDuckGo and SQLite.

No description provided

A standalone agent runner that executes tasks using MCP (Model Context Protocol) tools via Anthropic Claude, AWS BedRock and OpenAI APIs. It enables AI agents to run autonomously in cloud environments