langgraph mcp agents
pipStandardLangGraph-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.
6852320Updated 10 months ago
Overview
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.
Installation
1Install the package
pip
pip install langgraph-mcp-agents2Add to Claude
Add this configuration to your claude_desktop_config.json:
claude_desktop_config.json
{
"mcpServers": {
"teddynote-lab-langgraph-mcp-agents-github": {
"command": "uvx",
"args": [
"pip install langgraph-mcp-agents"
]
}
}
}3Verify installation
Restart Claude Desktop, then ask:
"What tools do you have available from langgraph mcp agents?"
Prerequisites
- Python 3.10 or higher
- pip or uv package manager
- Claude Desktop or Claude API access
- API key for langgraph mcp agents
Configuration
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 |
Usage Examples
List Resources
"What resources are available in langgraph mcp agents?"
Claude will query available resources and return a list of what you can access.
Get Details
"Show me details about [specific item] in langgraph mcp agents"
Claude will fetch and display detailed information about the requested item.
Create New
"Create a new [item] in langgraph mcp agents with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
Works with langgraph mcp agents
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