# Run:AI MCP Server

> Use this tool when you need to dynamically control and manage NVIDIA Run:AI infrastructure for large language models (LLMs). It solves problems related to automated API execution and infrastructure management by providing access to over 426 Run:AI APIs through MCP tools. This tool is ideal for use cases requiring scalable and efficient LLM deployment, taking in API requests as input and returning execution results as output.

Canonical page: https://skillsregistry.net/skills/sejongjeong-runai-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sejongjeong-runai-mcp

## Description

Enables LLM agents to control NVIDIA Run:AI infrastructure by dynamically searching and executing over 426 Run:AI APIs through MCP tools.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kd4rj1be1f)
- **Repository:** <https://github.com/sejongjeong/runai-mcp>

## 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": "sejongjeong-runai-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sejongjeong-runai-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sejongjeong-runai-mcp/pull`

---
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