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The Model Context Protocol (MCP) is an open standard for AI model communication.
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MCP Clients

Browse and discover Model Context Protocol compatible clients.

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AI clients

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  • desktop4mistral

    20

    Desktop4mistral is a Python-based desktop application offering a user-friendly interface for interacting with Mistral AI models, featuring model selection, chat history, command support, and Markdown support. Desktop4mistral is a Python-based

    Python
  • unity-mcp

    20

    A Unity MCP server that allows MCP clients like Claude Desktop or Cursor to perform Unity Editor actions.

    C#
  • mcp-video

    18

    Video editing MCP server for AI agents. 82 tools, 690+ tests, 3 interfaces. Works with Claude Code, Cursor, and any MCP client. Local, fast, free.

    Python
  • arxiv-mcp-server

    16

    arXiv MCP Server Client 🐙 enables AI assistants to search, retrieve, analyze, and summarize arXiv papers with features like author/category browsing, trends, and citation insights.

    Python
  • perfetto-mcp-rs

    15

    MCP server for analyzing Perfetto traces with LLMs — query .pftrace files in PerfettoSQL via Claude Code or any MCP client

    Rust
  • salesforce-mcp-lib

    15

    Salesforce MCP Library is a local stdio bridge for Salesforce MCP endpoints using OAuth client credentials, featuring a reusable Apex MCP library and JSON-RPC 2.0 core.

    TypeScript
  • mcp-client-langchain-ts

    13

    This repository provides a TypeScript-based Model Context Protocol (MCP) client that integrates with LangChain ReAct Agent, enabling interaction with LLMs like Anthropic, OpenAI, and Groq through MCP servers.

    TypeScript
  • llamacppMCPClientDemo

    13

    This React-based demo showcases an MCP client interacting with SSE servers, enabling tool calls and text completion, though it's still under development and has limitations regarding tool naming and concurrent calls.

    TypeScript
  • mcp-client-langchain-py

    12

    This repository provides a Python-based Model Context Protocol (MCP) client using LangChain, enabling interaction with MCP servers through LangChain ReAct Agent and supporting LLMs from Anthropic, OpenAI, and Groq.

    Python
  • langchain-mcp-tools-ts-usage

    12

    This repository showcases a simple Model Context Protocol (MCP) client using LangChain and TypeScript, demonstrating how to convert MCP server tools into LangChain-compatible tools for use with LLMs like Anthropic's Claude.

    TypeScript
  • langchain-mcp-client

    10

    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.

    Python
  • vulca

    10

    VULCA — AI-native cultural art creation & evaluation SDK. L1-L5 scoring, layer editing, self-evolution. 1104 tests, 21 MCP tools, 13 traditions.

    Python
  • agsync

    9

    Agsync is a repo-native control plane for managing skills, MCP servers, secrets, and agent configs across AI clients like Claude Code and Cursor.

    TypeScript
  • mcpstrike

    8

    MCP server + Ollama-driven autonomous penetration testing client. Connects LLMs to security tools (nmap, nikto, sqlmap, dalfox…) via Model Context Protocol with session management, output parsing, and findings persistence.

    Python
  • vercel-ai-mcp-client

    7

    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.

    TypeScript
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