mcp-servers-client-langgraph-react-agent

by ahmedmusawir

This project provides a multi MCP server and client implementation with a LangGraph prebuilt ReAct agent. It allows users to interact with multiple MCP servers using a client built with LangGraph and React.

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What is mcp-servers-client-langgraph-react-agent?

This project is a multi MCP (Multi-Chain Protocol) server and client application. It leverages LangGraph to create a ReAct agent for interacting with the servers and uses React for the client-side interface.

How to use mcp-servers-client-langgraph-react-agent?

To use this project, navigate to the project directory, create and activate a virtual environment, configure the .env file with API keys for OpenAI, Anthropic, Google, and Groq, and then install the necessary dependencies using pip install langchain-mcp-adapters langgraph langchain-openai python-dotenv uvicorn.

Key features of mcp-servers-client-langgraph-react-agent

Multi MCP server support
LangGraph ReAct agent
React client interface
API key configuration via .env
Virtual environment setup

Use cases of mcp-servers-client-langgraph-react-agent

Interacting with multiple MCP servers
Building AI agents for blockchain interactions
Creating user interfaces for blockchain applications
Experimenting with LangGraph and ReAct agents
Developing custom blockchain solutions

FAQ from mcp-servers-client-langgraph-react-agent

What is MCP?

MCP stands for Multi-Chain Protocol, a protocol for interacting with multiple blockchain networks.

What is LangGraph?

LangGraph is a framework for building conversational AI agents.

What is a ReAct agent?

A ReAct agent is a type of AI agent that combines reasoning and acting to solve problems.

Why do I need API keys?

API keys are required to access the services provided by OpenAI, Anthropic, Google, and Groq.

What are the dependencies?

The dependencies include langchain-mcp-adapters, langgraph, langchain-openai, python-dotenv, and uvicorn.