Discover the toolingbehind modern intelligence
The operating system for AI infrastructure discovery. Search a live map of MCP servers, AI agents, LLM tools, automation systems, and developer infrastructure.
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 modulari
26stars
5forks
Python
agentic-frameworkailangchainlanggraphmcpmcp-server
Quality signals
StaleNo testsNo CIThin docsNo licenseNew
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest junfanz1/MCP-MultiServer-Interoperable-Agent2Agent-LangGraph-AI-SystemAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
uvx mcp-multiserver-interoperable-agent2agent-langgraph-ai-system
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"mcp-multiserver-interoperable-agent2agent-langgraph-ai-system": {
"command": "uvx",
"args": [
"mcp-multiserver-interoperable-agent2agent-langgraph-ai-system"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
mcp-multiserver-interoperable-agent2agent-langgraph-ai-system — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt