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NVIDIA CUDA Docs MCP Server

by nvidia-ngc-nsight-copilot-api Your server? Claim it
answering

NVIDIA CUDA Docs is answering right now. Last checked 10 min ago.

Search NVIDIA CUDA documentation and code samples from AI coding agents.

Uptime history 91 days of history · worst day 96%
91 days agonow
100.0%
Uptime 24h
91 of 91 checks
—
Tools
hidden behind auth
810 ms
Response time
average over 24h
OAuth sign-in
Access
streamable-http

NVIDIA CUDA Docs missed one check this week

Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of from your users.

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Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 10 min ago.

run in your terminal
claude mcp add cuda-docs --transport http https://api.copilot.nsight.ngc.nvidia.com/mcp/cuda-docs
Settings → Connectors → Add custom connector, then paste this address
https://api.copilot.nsight.ngc.nvidia.com/mcp/cuda-docs
~/.codex/config.toml
[mcp_servers.cuda-docs]
url = "https://api.copilot.nsight.ngc.nvidia.com/mcp/cuda-docs"
.cursor/mcp.json
{
  "mcpServers": {
    "cuda-docs": {
      "url": "https://api.copilot.nsight.ngc.nvidia.com/mcp/cuda-docs"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "cuda-docs": {
      "type": "http",
      "url": "https://api.copilot.nsight.ngc.nvidia.com/mcp/cuda-docs"
    }
  }
}

This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.

Endpoints

URLTransportStateLatencyChecked
https://api.copilot.nsight.ngc.nvidia.com/mcp/cuda-docs streamable-http sign-in 815 ms 10 min ago

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NVIDIA CUDA Docs — questions

Answers built from our own checks of this server.

Why is there no tool list for NVIDIA CUDA Docs?
The server answered our handshake with an authorization challenge, so it is running — but it will not describe its tools to an anonymous client. To see them you need to connect with your own credentials. We record it as alive, not as broken: 100.0% of checks in the last 24 hours got a reply.
Is NVIDIA CUDA Docs working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 810 ms. The bar chart above shows every period we have measured.
How do I connect NVIDIA CUDA Docs?
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 is a remote server, so there is nothing to install — the client connects to the address. You sign in through your browser once and the client keeps the session: no key to copy, and it refuses anonymous clients.
How do you sign in to NVIDIA CUDA Docs?
No API key is involved. NVIDIA CUDA Docs answers our knock with an OAuth challenge, so you authorise it once in your browser and the client keeps the session. That is also why we see no tool list: it will not describe itself to an anonymous client, and that is the server working as intended, not a fault.
How fast is NVIDIA CUDA Docs?
It answers our handshake in 810 ms on average, which is faster than 9% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.