# nvidia-nim-mcp

> nvidia-nim-mcp — furkiozknn-nvidia-nim-mcp. Use this tool when you need to leverage a suite of AI models for image, vision, translation, and content analysis without requiring API keys for some services. It solves problems related to media processing, language translation, and content moderation, providing outputs such as classified images, translated text, and safety assessments. It is ideal for use cases where model rate limits or retirements need to be handled seamlessly, with automatic fallbacks to alternative platforms like Groq, Mistral, Gemini, or Cerebras.

Canonical page: https://skillsregistry.net/skills/furkiozknn-nvidia-nim-mcp  
JSON: https://api.skillsregistry.net/v1/skills/furkiozknn-nvidia-nim-mcp

## Description

Seven MCP tools on NVIDIA NIM's free tier - image, vision, translation, chat, content safety, embeddings, plus a health probe that tells you which models are still alive. Two of them need no API key at all. Falls through to Groq, Mistral, Gemini or Cerebras when a model is rate-limited or quietly retired. 80 tests.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Furkiozknn/nvidia-nim-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": "furkiozknn-nvidia-nim-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/furkiozknn-nvidia-nim-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/furkiozknn-nvidia-nim-mcp/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