# MCP vLLM Benchmarking Tool

> Use this tool when you need to evaluate the performance of large language models (LLMs) with customizable parameters. It solves problems related to benchmarking and testing LLM endpoints, providing insights into their efficiency and effectiveness. The tool takes in model parameters and test inputs, outputting performance metrics and test results, making it ideal for use cases requiring optimized LLM model selection and deployment.

Canonical page: https://skillsregistry.net/skills/eliovp-bv-mcp-vllm-benchmark  
JSON: https://api.skillsregistry.net/v1/skills/eliovp-bv-mcp-vllm-benchmark

## Description

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

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dq0jbsfjt2)
- **Repository:** <https://github.com/Eliovp-BV/mcp-vllm-benchmark>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "eliovp-bv-mcp-vllm-benchmark"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/eliovp-bv-mcp-vllm-benchmark` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/eliovp-bv-mcp-vllm-benchmark/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt