# vLLM MCP Server

> Use this tool when you need to integrate large language models with AI assistants, enabling features like chat completions and model management. It solves problems related to platform-agnostic deployment and resource management, such as automatic detection of containerization tools and GPU availability. The vLLM MCP Server takes in AI model and container configurations as inputs and outputs controlled model deployments across Linux, macOS, and Windows platforms.

Canonical page: https://skillsregistry.net/skills/micytao-vllm-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/micytao-vllm-mcp-server

## Description

Exposes vLLM capabilities to AI assistants, enabling chat completions, model management, and platform-aware container control with automatic detection of Docker/Podman and GPU availability across Linux, macOS, and Windows.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-05-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zugcx9u26t)
- **Repository:** <https://github.com/micytao/vllm-mcp-server>

## 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": "micytao-vllm-mcp-server"
    }
  }
}
```

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