MCP AI Infra Real Time Agent
@junfanz1
About MCP AI Infra Real Time Agent
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 independent
Basic information
Config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is MCP AI Infra Real Time Agent?
A decoupled real-time agent architecture that connects LangGraph agents to remote tools hosted by custom MCP (Model Context Protocol) servers. It enables LLM orchestration to be separated from tool execution, supporting both SSE and STDIO transports for modular, cloud-deployable multi-agent systems.
How to use MCP AI Infra Real Time Agent?
Run the provided MCP tool servers (e.g., python math_server.py, python weather_server.py) then execute a LangGraph agent client such as multiserver_client.py or stdio_client.py. Configure API keys via a .env file and use the MultiServerMCPClient to bind to multiple tool servers concurrently. Debug tool execution with Anthropic’s MCP Inspector.
Key features of MCP AI Infra Real Time Agent
- Decoupled architecture for agent orchestration and tool execution.
- Supports both SSE and STDIO transport protocols.
- Asynchronous I/O for concurrent and real-time communication.
- MultiServerMCPClient enables connections to multiple tool servers.
- Dynamic tool discovery and MCP handshake protocol.
- LangGraph ReAct agent integration for reasoning and acting.
Use cases of MCP AI Infra Real Time Agent
- Building multi-agent systems where agents invoke remote tools from separate servers.
- Real-time weather and math tool execution for AI assistants.
- Integrating LangGraph‑based agents with MCP‑compatible tool servers.
- Developing scalable, cloud‑deployable AI infrastructure with modular tool execution.
FAQ from MCP AI Infra Real Time Agent
What transports are supported for tool servers?
The system supports both SSE (Server‑Sent Events) and STDIO
More AI & Agents MCP servers
Model Context Protocol for Unreal Engine
chongdashuEnable AI assistant clients like Cursor, Windsurf and Claude Desktop to control Unreal Engine through natural language using the Model Context Protocol (MCP).
Web Agent Protocol
OTA-Tech-AI🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support
Perplexity MCP Server
DaInfernalCoderA Model Context Protocol (MCP) server for research and documentation assistance using Perplexity AI. Won 1st @ Cline Hackathon
Sequential Thinking Multi-Agent System (MAS)
FradSerAn advanced sequential thinking process using a Multi-Agent System (MAS) built with the Agno framework and served via MCP.
MCP-NixOS - Because Your AI Assistant Shouldn't Hallucinate About Packages
utensilsMCP-NixOS - Model Context Protocol Server for NixOS resources
Comments