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teddynote-lab/langgraph-mcp-agents

Score: 37.9 Rank #3199

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.

Overview

teddynote-lab/langgraph-mcp-agents is a Python MCP server. 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.

Ranked #3199 out of 25632 indexed tools.

Ecosystem

Python No license

Signal Breakdown

Stars 691
Freshness 11mo ago
Issue Health 71%
Contributors 2
Dependents 0
Forks 233
Description Detailed
License None

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Matched Queries

"model context protocol""model-context-protocol"

From the README

# LangGraph Agents + MCP

 

## Project Overview

`LangChain-MCP-Adapters` is a toolkit provided by **LangChain AI** that enables AI agents to interact with external tools and data sources through the Model Context Protocol (MCP). This project provides a user-friendly interface for deploying ReAct agents that can access various data sources and APIs through MCP tools.

### Features

- **Streamlit Interface**: A user-friendly web interface for interacting with LangGraph `ReAct Agent` with MCP tools
- **Tool Management**: Add, remove, and configure MCP tools through the UI (Smithery JSON format supported). This is done dynamically without restarting the application
- **Streaming Responses**: View agent responses and tool calls in real-time
- **Conversation History**: Track and manage conversations with the agent

## MCP Architecture

The Model Context Protocol (MCP) consists of three main components:

1. **MCP Host**: Programs seeking to access data through MCP, such as Claude Desktop, I
Read full README on GitHub →
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