# nvidia-nim-mcp

> nvidia-nim-mcp — david-eve-za-nvidia-nim-mcp. Use this tool when you need to integrate multiple NVIDIA NIM models into your AI workflow, leveraging 10 MCP tools to access 50+ models for tasks like language, image generation, and vision processing. It solves problems of model management and discovery by providing rich metadata and advanced filtering capabilities. This tool is ideal for use cases requiring diverse AI model integration, such as multimodal processing and analysis.

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

## Description

Enables AI agents to consume 50+ NVIDIA NIM models including LLMs, image generation, and vision through 10 MCP tools with rich metadata and advanced filtering.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sp3u4sacq6)
- **Repository:** <https://github.com/david-eve-za/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": "david-eve-za-nvidia-nim-mcp"
    }
  }
}
```

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