by teddynote-lab · MCP Server · ★ 690
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
LangGraph Agents + MCP Project Overview 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 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: Trac
| Stars | 690 |
| Forks | 232 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 73.6630565599681/100 |
| Open Issues | 4 |
| Last Updated | 2025-04-14 |
| Created | 2025-03-30 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~162k |
Explore other popular mcp server tools:
langgraph-mcp-agents is 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 vario. It is categorized as a MCP Server with 690 GitHub stars.
langgraph-mcp-agents is primarily written in Python.
You can find installation instructions and usage details in the langgraph-mcp-agents GitHub repository at github.com/teddynote-lab/langgraph-mcp-agents. The project has 690 stars and 232 forks, indicating an active community.