MCP Server Petstore

You can run a standalone MCP (Model Context Protocol) server that exposes API endpoints as tools for AI assistants. This server uses Server-Sent Events (SSE) over HTTP, making it easy for clients to connect and stream tool interactions from a Petstore-like API specification.

How to use

To use this MCP server, start the HTTP service and connect your MCP client to the SSE endpoint. Your client will discover available tools and can send requests to the underlying API through those tools. Use the provided health endpoint to confirm the server is alive and reachable from other machines by using the server’s SSE connection URL.

How to install

Follow these steps to install and run the MCP server locally.

{
  "steps": [
    {
      "step": "Extract the package"
    },
    {
      "step": "Navigate into the project directory"
    },
    {
      "step": "Install dependencies"
    },
    {
      "step": "Configure authentication if needed"
    },
    {
      "step": "Run the server"
    }
  ]
}

unzip mcp_sdk_petstore_api_4.zip
cd mcp_sdk_petstore_api_4

pip install -r requirements.txt

{
  "host": "0.0.0.0",
  "port": 8000
}

python main.py

Additional sections

Configuration and security options keep the MCP server flexible for different environments. You can modify the host and port in the configuration, set authentication details for the upstream API if required, and monitor server health through a dedicated health endpoint. The server supports multiple clients connecting via SSE without interfering with each other, ensuring concurrent sessions can operate in parallel.