# NVIDIA NIM MCP Server

> Use this tool when you need to execute tasks locally using NVIDIA NIM API quota, process file contents through large language models (LLMs), or interact with chat prompts. It solves problems related to local task execution, file content processing, and model management, providing a convenient interface for sending prompts and listing available models. Ideal for use cases requiring on-premise LLM processing and NVIDIA NIM API integration.

Canonical page: https://skillsregistry.net/skills/abhishek4512009-mcp  
JSON: https://api.skillsregistry.net/v1/skills/abhishek4512009-mcp

## Description

Enables local task execution using the user's NVIDIA NIM API quota, with tools to process file contents through LLMs, send chat prompts, and list available models.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rl8xwyhadq)
- **Repository:** <https://github.com/Abhishek4512009/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": "abhishek4512009-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/abhishek4512009-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/abhishek4512009-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