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Running the server

After installing dependencies and configuring .env: 
python server.py
By default, the server starts with stdio transport — the standard for local MCP connections.

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Transport options

Select a transport at runtime: 
# stdio (default) — for direct MCP client connections
python server.py

# SSE — for network-based connections
python server.py --transport sse --port 8000

# Streamable HTTP — newer HTTP-based transport
python server.py --transport streamable-http --port 8000
TransportUse case
stdioLocal MCP clients (Claude Desktop, Claude Code, Cursor)
SSERemote or Docker-based deployments
streamable-httpNewer MCP clients that support HTTP streaming

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Virtual environment

It’s recommended to use a virtual environment: 
cd my-api-server
python -m venv .venv
source .venv/bin/activate    # Linux/macOS
# .venv\Scripts\activate     # Windows
pip install -r requirements.txt
python server.py

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Testing tools manually

Run the server and connect an MCP client to test individual tools. Try asking the AI agent to perform operations:
“List all users” “Create a new order for product X” “Get the status of order #123”
Check the server’s terminal output for request logs, errors, and validation warnings.