mcp-servers-client-langgraph-react-agent
LocalAbout mcp-servers-client-langgraph-react-agent
A project combining a LangGraph prebuilt ReAct Agent with multiple MCP servers, aimed at developers setting up an agent-based MCP client. The README mainly documents Python environment setup and dependencies.
Key features
- 01Integrates a LangGraph prebuilt ReAct Agent
- 02Configures multiple MCP servers
- 03Uses a Python virtual environment
Use cases
- 01Set up a development environment for LangGraph and MCP
- 02Configure multiple MCP servers for agent use
MCP support
The project is described as a client for multiple MCP servers using a LangGraph prebuilt ReAct Agent; the README does not detail specific tools or server capabilities.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEmcp-servers-client-langgraph-react-agent
Multi MCP Server and client w/ LangGraph Prebuilt ReAct Agent
Navigate to your project directory
cd C:\Users\user\python\mcp_project_1
Create a virtual environment
python -m venv .venv
Activate the virtual environment
.venv\Scripts\activate [Power Shell] .venv\Scripts\Activate.ps1
PUT A .env FILE
OPENAI_API_KEY="sk-proj-ul******bkFJKFU8CUAYWg7y8Ge8pROt"
ANTHROPIC_API_KEY="sk-an******SCFsvw711UktHmFelcjpHlXZEl8-IqYrs4bmmTp3hDmAaVang-IsYoZAAA"
GOOGLE_API_KEY="AIzaSy*****CcuoMTJMtvzSDmziA"
GROQ_API_KEY ="gsk_DIdLqIGij05l*******ifbW5XXVUtlxWcRRXwc3EDrc"
INSTALLS:
pip install langchain-mcp-adapters langgraph langchain-openai python-dotenv uvicorn
Comments
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