❗❗❗This repo is archived in favor of https://github.com/cnoe-io/ai-platform-engineering ❗❗❗

🚀 Jarvis Multi-Agent System

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• 🤖 Jarvis Multi-Agent System is an LLM-powered agent built using the LangGraph ReAct Agent workflow and MCP tools.
• 🌐 Protocol Support: Compatible with ACP and A2A protocols for integration with external user clients.
• 🛡️ Secure by Design: Enforces API token-based RBAC and supports external authentication for strong access control.
• 🔌 Integrated Communication: Uses langchain-mcp-adapters to connect with the MCP server within the LangGraph ReAct Agent workflow.
• 🏭 First-Party MCP Server: The MCP server is generated by our first-party openapi-mcp-codegen utility, ensuring version/API compatibility and software supply chain integrity.

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🏗️ Architecture

flowchart TD
  subgraph Client Layer
    A[User Client ACP/A2A]
  end

  subgraph Agent Transport Layer
    B[AGNTCY ACP<br/>or<br/>Google A2A]
  end

  subgraph Agent Graph Layer
    C[LangGraph ReAct Agent]
  end

  subgraph Tools/MCP Layer
    D[LangGraph MCP Adapter]
    E[MCP Server]
    F[API Server]
  end

  A --> B --> C
  C --> D
  D -.-> C
  D --> E --> F --> E

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✨ Features

• 🤖 LangGraph + LangChain MCP Adapter for agent orchestration
• 🧠 Azure OpenAI GPT-4o as the LLM backend
• 🔗 Connects to external systems via a dedicated MCP agent
• 🔄 Multi-protocol support: Compatible with both ACP and A2A protocols for flexible integration and multi-agent orchestration

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📜 License

Apache 2.0 (see LICENSE)

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👥 Maintainers

See MAINTAINERS.md

• Contributions welcome via PR or issue!

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🙏 Acknowledgements

• LangGraph and LangChain for agent orchestration frameworks.
• langchain-mcp-adapters for MCP integration.
• AGNTCY Agent Connect Protocol(ACP)
• Google A2A
• Model Context Protocol (MCP) for the protocol specification.
• The open source community for ongoing support and contributions.