CATS MCP Server

""" Demonstration test showing FastMCP in-memory testing pattern works with CATS server. This validates the testing infrastructure before generating the full test suite. """ import pytest from fastmcp.client import Client from fastmcp.client.transports import FastMCPTransport # Import CATS server's mcp instance from server import mcp @pytest.fixture async def mcp_client(): """In-memory test client for CATS MCP server.""" async with Client(transport=mcp) as client: yield client async def test_server_connection(mcp_client: Client[FastMCPTransport]): """Test that we can connect to the CATS server via in-memory client.""" # If this passes, the in-memory testing pattern works! assert mcp_client is not None async def test_list_tools_default(mcp_client: Client[FastMCPTransport]): """Test that default toolsets load and register tools.""" tools = await mcp_client.list_tools() tool_names = [t.name for t in tools] # Should have default toolset tools assert len(tools) > 0, "No tools loaded - check toolset loading" # Check for a known default tool assert "list_candidates" in tool_names, "Candidates toolset not loaded" assert "list_jobs" in tool_names, "Jobs toolset not loaded" assert "list_pipelines" in tool_names, "Pipelines toolset not loaded" async def test_tool_execution_mock(mcp_client: Client[FastMCPTransport]): """ Test tool execution pattern (would need API key for real execution). This demonstrates the pattern - real tests would mock make_request(). """ tools = await mcp_client.list_tools() assert any(t.name == "get_site" for t in tools), "get_site tool not found" # Note: Actually calling the tool would require valid CATS_API_KEY # Real test suite would mock the make_request() function # Example pattern: # from unittest.mock import patch # with patch('server.make_request') as mock_request: # mock_request.return_value = {"id": 123, "name": "Test Site"} # result = await mcp_client.call_tool(name="get_site", arguments={}) # assert result.data["name"] == "Test Site"