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Nvidia Nim MCP Server

by david-eve-za Your server? Claim it
local only

Nvidia Nim MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 358 installs a week from npm. Last commit 17 Aug 2026.

MCP server for NVIDIA NIM - 50+ LLMs, multimodal, image gen, embeddings, reranking

Installs per day peak 107 · avg 15 · +152% w/w
a month agotoday
358
Installs / week
npm · nvidia-nim-mcp
1
Stars
0 open issues
17 Aug 2026
Last commit
no releases in 90 days
MIT
License
TypeScript

What the code does

We read the source, 5 d ago · rules 995398eba69f

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

Runs a command on install [пакет] package.json:1
postinstall: node scripts/postinstall.js

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add nvidia-nim-mcp -e 'NVIDIA_API_KEY=<NVIDIA_API_KEY>' -- npx -y nvidia-nim-mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "nvidia-nim-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "nvidia-nim-mcp"
      ],
      "env": {
        "NVIDIA_API_KEY": "<NVIDIA_API_KEY>"
      }
    }
  }
}
~/.codex/config.toml
[mcp_servers.nvidia-nim-mcp]
command = "npx"
args = ["-y", "nvidia-nim-mcp"]
env = { NVIDIA_API_KEY = "<NVIDIA_API_KEY>" }
.cursor/mcp.json
{
  "mcpServers": {
    "nvidia-nim-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "nvidia-nim-mcp"
      ],
      "env": {
        "NVIDIA_API_KEY": "<NVIDIA_API_KEY>"
      }
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "nvidia-nim-mcp": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "nvidia-nim-mcp"
      ],
      "env": {
        "NVIDIA_API_KEY": "<NVIDIA_API_KEY>"
      }
    }
  }
}

Put your own value in place of <NVIDIA_API_KEY> (Your NVIDIA API key for accessing NIM models. Get one at https://build.nvidia.com). The author’s registry entry marks it as required.

Optional settings from the registry entry, left out of the block above: NVIDIA_NIM_BASE_URL (Base URL for self-hosted NIM endpoints), NVIDIA_AI_FOUNDATION_URL (Base URL for NVIDIA AI Foundation Models (free tier available)), DEFAULT_MODEL (Default model to use for chat/text generation), ENABLE_IMAGE_GENERATION (Enable image generation tools), ENABLE_VISION (Enable vision/image analysis tools), ENABLE_MULTIMODAL (Enable multimodal tools).

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Nvidia Nim MCP — questions

Answers built from our own checks of this server.

Why is there no uptime for Nvidia Nim MCP?
Nvidia Nim MCP runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the npm package nvidia-nim-mcp was installed 358 times last week.
How do I connect Nvidia Nim MCP?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls nvidia-nim-mcp straight from npm; nothing to host, nothing to sign up for.
How many people use Nvidia Nim MCP?
The npm package nvidia-nim-mcp was installed 358 times in the last week. Week over week that is +152%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Nvidia Nim MCP open source?
Yes — it is published under the MIT licence, written in TypeScript and 1 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.