MCP vLLM Benchmarking Tool

This is proof of concept on how to use MCP to interactively benchmark vLLM.

We are not new to benchmarking, read our blog:

This is just an exploration of possibilities with MCP.

Usage

Clone the repository
Add it to your MCP servers:

{
    "mcpServers": {
        "mcp-vllm": {
            "command": "uv",
            "args": [
                "run",
                "/Path/TO/mcp-vllm-benchmarking-tool/server.py"
            ]
        }
    }
}

Then you can prompt for example like this:

Do a vllm benchmark for this endpoint: http://10.0.101.39:8888 
benchmark the following model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B 
run the benchmark 3 times with each 32 num prompts, then compare the results, but ignore the first iteration as that is just a warmup.

Todo:

Due to some random outputs by vllm it may show that it found some invalid json. I have not really looked into it yet.

This server cannot be installed

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security - not tested

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license - not found

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quality - not tested

An interactive tool that enables users to benchmark vLLM endpoints through MCP, allowing performance testing of LLM models with customizable parameters.

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