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4 months ago
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2 months ago
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Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
You can run an MCP (Model Context Protocol) server that exposes API endpoints as tools for AI assistants over Server-Sent Events (SSE). This server lets you host the API surface described by the OpenAPI spec and connect clients to receive and interact with those tools in a scalable, streaming manner.
How to use
Start the server to expose your API endpoints as MCP tools over SSE. Your MCP client will connect to the provided SSE URL to discover and invoke the available tools.
How to install
Prerequisites you need before installation:
- Python 3.10 or higher
- pip (Python package installer)
Step-by-step setup workflow you can follow:
unzip mcp_sdk_petstore_api.zip
cd mcp_sdk_petstore_api
pip install -r requirements.txt
Configure authentication if your API requires it by updating the authentication section in the configuration file as needed.
python main.py
Take note of the MCP URL printed when the server starts. You will use this URL to connect your MCP client.
Additional sections
Configuration and runtime details help you tailor the server to your environment.
To change where the server listens, edit the configuration file to set a different host and port. The default is host 0.0.0.0 and port 8000.
Security and access control considerations: if you expose the server publicly, secure your target API credentials and consider adding authentication to the MCP server itself.
Troubleshooting tips cover common problems such as health checks, connectivity from different machines, and port conflicts.