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langgraph-mcp-agents MCP Server

braincrew-lab/langgraph-mcp-agents

Score: 55.9 Rank #8893 MCP Server
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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.

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Overview

braincrew-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 #8893 out of 24846 indexed tools.

Ecosystem

Python No license

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 718

718 stars → growing community

Freshness 25% 1y ago

Last commit 1y ago → stale

Issue Health 25% 67%

10/15 issues closed → decent issue management

Contributors 10% 2

2 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 227
Description Detailed
License None

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

License low impact

Add an MIT or Apache-2.0 license to signal trust and enable adoption

Freshness high impact

Last commit was 576 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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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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