OwusuBlessing
75 lines
2.7 KiB
Python
75 lines
2.7 KiB
Python
import asyncio
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import nest_asyncio
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from mcp import ClientSession
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from mcp.client.sse import sse_client
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nest_asyncio.apply() # Needed to run interactive python
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"""
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Make sure:
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1. The server is running before running this script.
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2. The server is configured to use SSE transport.
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3. The server is listening on port 8050.
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To run the server:
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uv run server.py
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"""
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async def main():
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# Connect to the server using SSE
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async with sse_client("http://localhost:8050/sse") as (read_stream, write_stream):
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async with ClientSession(read_stream, write_stream) as session:
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# Initialize the connection
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await session.initialize()
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# List available tools
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tools_result = await session.list_tools()
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print("Available tools:")
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for tool in tools_result.tools:
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print(f" - {tool.name}: {tool.description}")
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# List available prompts
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prompts_result = await session.list_prompts()
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print(f"\nAvailable prompts ({len(prompts_result.prompts)}):")
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for prompt in prompts_result.prompts:
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print(f" - {prompt.name}: {prompt.description}")
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# List available resources
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resources_result = await session.list_resources()
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print(f"\nAvailable resources ({len(resources_result.resources)}):")
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for resource in resources_result.resources:
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print(f" - {resource.uri}: {resource.name}")
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if resource.description:
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print(f" Description: {resource.description}")
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if hasattr(resource, 'mime_type') and resource.mime_type:
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print(f" MIME Type: {resource.mime_type}")
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# Test a simple tool call (if any tools are available)
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if tools_result.tools:
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print(f"\nTesting tool execution with '{tools_result.tools[0].name}':")
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try:
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# Try to call the first available tool with empty arguments to see what happens
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result = await session.call_tool(tools_result.tools[0].name, arguments={})
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print(f"Tool result: {result.content[0].text if result.content else 'No content'}")
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except Exception as e:
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print(f"Tool execution failed: {e}")
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else:
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print("\nNo tools available to test.")
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if __name__ == "__main__":
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asyncio.run(main())
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origin http://3bc31c02b912d0998c161a0e70fcaedd66c4d922@23.29.118.76:3000/owusu/DS-LLM-TEMPLATE-FINETUNING.git (push)
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http://3bc31c02b912d0998c161a0e70fcaedd66c4d922@23.29.118.76:3000/owusu/ds_mcp_template.git
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python mcp_llm_client.py --provider openai --model gpt-4o --temperature 0.3 --query "Calculate √144"
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