LangGraph-powered ReAct agent with Model Context Protocol (MCP) integration. A Streamlit web interface for dynamically configuring, deploying, and interacting with AI agents capable of accessing various data sources and APIs through MCP tools.
LangGraph-powered ReAct agent with Model Context Protocol (MCP) integration. A Streamlit web interface for dynamically configuring, deploying, and interacting with AI agents capable of accessing various data sources and APIs through MCP tools.
pip install langgraph-mcp-agentsAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"teddynote-lab-langgraph-mcp-agents-github": {
"command": "uvx",
"args": [
"pip install langgraph-mcp-agents"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from langgraph mcp agents?"
API Key Required
This server requires an API key from langgraph mcp agents. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| LANGGRAPH_MCP_AGENTS_API_KEY | Yes | Your langgraph mcp agents API key |
"What resources are available in langgraph mcp agents?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in langgraph mcp agents"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in langgraph mcp agents with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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