langgraph-mcp-agents MCP Server
raghuramadivi/langgraph-mcp-agents
A hands-on learning repository covering LangGraph fundamentals — from basic chatbots and human-in-the-loop workflows to multimodal RAG, multi-agent systems, and MCP server integration with LangChain.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
raghuramadivi/langgraph-mcp-agents is a Jupyter Notebook MCP server. A hands-on learning repository covering LangGraph fundamentals — from basic chatbots and human-in-the-loop workflows to multimodal RAG, multi-agent systems, and MCP server integration with LangChain.
Ranked #71 out of 116 indexed tools.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
1 stars → early stage
Last commit 1d ago → actively maintained
No issues filed → no history to score
1 contributor → solo project
No dependents → no downstream usage
Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →
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From the README
# langgraph-mcp-agents A hands-on learning repository covering LangGraph fundamentals — from basic chatbots and human-in-the-loop workflows to multimodal RAG, multi-agent systems, and MCP server integration with LangChain. 📁 Project Structure 2-LANGGRPAH-MCP/ ├── 1-BasicChatbot/ │ └── 1-basicchatbot.ipynb # Simple LangGraph chatbot with message state ├── 2-HumanAssistance/ │ └── humaninloop.ipynb # Human-in-the-loop with interrupt and approval flows ├── 3-Debugging/ │ ├── agent.py # Agent definition for debugging demos │ ├── debugging.ipynb # LangGraph Studio & LangSmith tracing walkthrough │ ├── LangGraph_Debug_Monitoring_Notes.docx │ └── langgraph.json # LangGraph Studio config ├── 4-Multimodal/ │ ├── multimodal_rag_notes.docx │ ├── multimodal_sample.pdf │ └── multimodalopenai.ipynb # Multimodal RAG with vision + OpenAI ├── Agents/ │ ├── multi_agent_langgraph_notes.docx │ └── multiaiRead full README on GitHub →
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