junfanz1/MCP-MultiServer-Interoperable-Agent2Agent-LangGraph-AI-System

This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP (Modular Command Protocol) servers. The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independently (via SSE or STDIO), offering modularity and cloud-deployable execut

31
/ 100
Emerging

This project helps developers build advanced AI applications by separating the AI's decision-making from the actual execution of tasks. It takes LangGraph agent logic and connects it to independently hosted tools, allowing the AI to use these tools in real time. This system is for AI architects and software engineers who need to create flexible, scalable, and modular AI agent systems.

No commits in the last 6 months.

Use this if you are developing AI agents with LangGraph and need to integrate various tools that can run independently, possibly across different servers or environments.

Not ideal if you are looking for a simple, single-script solution for basic AI agent tasks that don't require distributed tool execution or real-time scalability.

AI-architecture multi-agent-systems distributed-computing LLM-tooling real-time-AI
No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 15 / 25

How are scores calculated?

Stars

24

Forks

5

Language

Python

License

Last pushed

Jul 21, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/mcp/junfanz1/MCP-MultiServer-Interoperable-Agent2Agent-LangGraph-AI-System"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.