What is an MCP client?
An MCP client is an app that connects to MCP servers — an IDE, a desktop chat assistant, a CLI tool, and more — gaining tool-calling and context access through the standard protocol.
Discover AI apps that use MCP servers.
huggingface
🤗 smolagents: a barebones library for agents that think in code.
mcp-use
mcp-use is the easiest way to interact with mcp servers with custom agents
microsoft
Automatable GenAI Scripting
pietrozullo
mcp-use is the easiest way to interact with mcp servers with custom agents
evalstate
Define, Prompt and Test MCP enabled Agents and Workflows
nerding-io
n8n custom node for MCP
daodao97
ChatMCP is an AI chat client implementing the Model Context Protocol (MCP).
copilotkit
chrishayuk
evilsocket
The Simple Agent Development Kit.
mark3labs
A CLI host application that enables Large Language Models (LLMs) to interact with external tools through the Model Context Protocol (MCP).
hazyresearch
Big & Small LLMs working together
pathintegral-institute
CLI MCP package manager & registry for all platforms and all clients. Search & configure MCP servers. Advanced Router & Profile features.
adhikasp
A simple CLI to run LLM prompt and implement MCP client.
mario-andreschak
MCP-Hub and -Inspector, Multi-Model Workflow and Chat Interface
evolutionapi
Evo AI is an open-source platform for creating and managing AI agents, enabling integration with different AI models and services.
wong2
A CLI inspector for the Model Context Protocol
sidharthrajaram
A working pattern for SSE-based MCP clients and servers
langchain-ai
** THIS REPO HAS MOVED TO
cgoinglove
🚀 Open source MCP Client: A Multi-provider AI Chatbot Solution
ejb503
A Multi-modal MCP client for voice powered agentic workflows
cloudwalk
Elixir Model Context Protocol (MCP) SDK
mediar-ai
truffle-ai
A customizable, general purpose AI Agent that supports MCP. Talk to Saiki in natural language to control computers, applications and more!
Abiorh001
MCPOmni Connect is an agent execution runtime that connects to multiple MCP servers via stdio, SSE, or streamable HTTP. It supports chat, autonomous agents, and planner-based orchestration treating each MCP server as a tool agent to enable dynamic multi-agent workflows across LLM
apify
Model Context Protocol (MCP) Client for Apify's Actors
keta1930
MCP Agent Graph (MAG) is an agent development framework for rapidly building agent systems. This project is based on graphs, nodes, and MCP to quickly construct complex Agent systems.
rakesh-eltropy
mihirrd
MCP client for local ollama models
paulrobello
MCP Tools Langraph Integration
xingsandesu
CarrotAI is a cutting-edge AI agent application that delivers real-time streaming chat via Server-Sent Events (SSE) with built-in Model Control Protocol (MCP) integration. It supports concurrent connections to multiple SSE MCP servers and provides user interfaces in English, Chin
compiler-inc
edanyal
Typescript mcp client library.
scriptoshi
shane-kercheval
CLI that uses DSPy to interact with MCP servers.
csonigo
An MCP client for slack in Typescript
gh05tcrew
All-in-one offensive security toolbox with AI agent and MCP architecture. Integrates tools like Nmap, Metasploit, FFUF, SQLMap. Enables pentesting, bug bounty hunting, threat hunting, and reporting. RAG-based responses with local knowledge base support.
jagan-shanmugam
A Mattermost integration that connects to Model Context Protocol (MCP) servers, leveraging a LangGraph-based Agent.
i2y
A Go adapter that bridges LangChain Go tools with Model Context Protocol (MCP) servers.
slavashvets
Simple example client demonstrating how to connect to MCP servers over HTTP (SSE)
fkesheh
A TypeScript library that enables AI agents to leverage MCP (Model Context Protocol) servers for enhanced capabilities. This library integrates with the AI SDK to provide a seamless way to connect to MCP servers and use their tools in AI-powered applications.
dshivendra
jayjeo
obsidian-milvus-FastMCP
hideya
MCP Tools Usage From LangChain ReAct Agent / Example in TypeScript
marlenezw
Quick Start MCP with Langchain
lalanikarim
A demonstration of using LangGraph with MCP for generating prompts and AI-generated images, including Human-in-the-Loop interaction.
cpage-pivotal
Tanzu Platform Chat
matthewhand
hideya
Simple CLI MCP Client Implementation Using LangChain ReAct Agent / TypeScript
russellluo
A command-line utility for interacting with MCP servers.
hideya
Simple CLI MCP Client Implementation Using LangChain ReAct Agent / Python
nicozumarraga
Lightweight, composable framework for building muti-agent systems with Model Context Protocol (MCP)
quazaai
Enable AI Agents to Control Unity
yonaka15
A demo implementation of a Model Context Protocol (MCP) client using Web Workers and Server-Sent Events (SSE).
copilotkit
aswincandra
MCP Client Implemented to FastAPI
slavashvets
Simple example client demonstrating how to connect to MCP servers over HTTP (SSE)
vrknetha
Adapters for integrating Model Context Protocol (MCP) tools with LangChain.js applications, supporting both stdio and SSE transports.
xprilion
An MCP Client for interfacing with the Blender MCP Server built with Firebase Genkit and Gemini
regibyte
A mcp client chat application built for learning purposes
Common questions about MCP clients and compatible applications
An MCP client is an app that connects to MCP servers — an IDE, a desktop chat assistant, a CLI tool, and more — gaining tool-calling and context access through the standard protocol.
If you're coding, a deeply integrated editor or agent like Cursor, VS Code, or Claude Code is usually the best fit. If you just want to chat with AI while it uses tools, a desktop chat client like Claude Desktop works well.
Yes — most clients let you declare several MCP servers in their config at once, and the AI picks the right tool for each task automatically.
Most modern MCP clients connect to local servers over stdio and increasingly support remote servers over Streamable HTTP or SSE. Available transports depend on the client version, so verify compatibility before adding a server.
Not exactly. They use similar server URLs, commands, arguments, and environment variables, but configuration locations, field names, authentication, and supported transports can differ. Follow the current documentation for each client.
Connect only to trusted servers, grant least-privilege access to files, databases, shells, and third-party APIs, and keep credentials in an OS keychain or dedicated secret store. Review enabled servers regularly, revoke unused credentials, and retain human confirmation for high-risk tool calls.