Productivity · Local MCP server

CUDA-Q Docs

CUDA-Q docs, API reference, and runnable examples for AI agents, pinned to your installed version.

What the MCP Registry states

The entry as published to the official MCP Registry (read 2026-10-04), latest version.

Registry name
io.github.rogerawong/cudaq-docs-mcp
Version
0.1.1
Status
Active
Category
productivity
Transport
stdio (local process)
Package
PyPI
Published
2026-08-12
Updated
2026-08-12
Publisher
rogerawong (GitHub)
Repository
github.com/rogerawong/cudaq-docs-mcp
Source
Registry API entry

Packages

RegistryPackageVersionTransportEnvironment variables
PyPIcudaq-docs-mcp0.1.1stdioNone declared

How to connect CUDA-Q Docs

CUDA-Q Docs runs locally from a Python package published to PyPI: cudaq-docs-mcp version 0.1.1. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install — the usual command is uvx cudaq-docs-mcp.

In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):

{
  "mcpServers": {
    "cudaq-docs-mcp": {
      "command": "uvx",
      "args": [
        "cudaq-docs-mcp"
      ]
    }
  }
}

Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect

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