About MCP-Server
MCP-Server contains example MCP server implementations for agent-to-agent systems. Its main example connects a customer support system through a web interface, where specialized agents process tickets and display results.
Key features
- 01Examples for agent-to-agent systems
- 02Web interface for a support system
- 03Multiple specialized agents process tickets
- 04Runnable Flask Hello World example
Use cases
- 01View results from agents processing support tickets
- 02Run a simple Flask MCP example
MCP support
The repository contains MCP server examples; its A2A interface combines MCP with an agent-to-agent customer support system.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP-Server
About
This repository contains implementations of Model Context Protocol (MCP) server examples for agent-to-agent (A2A) systems. MCP allows AI systems to connect with external tools and data sources.
Files
a2a_mcp.py
A web interface that connects to an A2A customer support system. This implementation processes customer support tickets using multiple specialized agents and visualizes the results through a web interface.
simple_mcp_hello.py (Coming soon)
A minimal example of an MCP server that displays a "Hello World" message using Flask.
Video Demo
The video demo file (a2a_mcp_sample.mov) is too large to be included in this repository. To view the demo, please download it from this Google Drive link.
How to Run
Simple MCP Hello World
python3 simple_mcp_hello.py
Then open http://127.0.0.1:5001 in your browser.
A2A MCP Interface
python3 a2a_mcp.py
Then open http://127.0.0.1:5000 in your browser.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.