MCP server serving NVIDIA CUDA-Q docs, API reference, and runnable examples to AI agents, version-pinned to your installed cudaq
接入配置
选择客户端,复制配置,再按项目文档补齐环境变量。
claude mcp add cuda-q-docs -- uvx cudaq-docs-mcp~/.codex/config.toml
[mcp_servers.cuda-q-docs]
command = "uvx"
args = ["cudaq-docs-mcp"]
# codex mcp add cuda-q-docs -- uvx cudaq-docs-mcp~/.cursor/mcp.json
{
"mcpServers": {
"cuda-q-docs": {
"command": "uvx",
"args": [
"cudaq-docs-mcp"
]
}
}
}.vscode/mcp.json
{
"servers": {
"cuda-q-docs": {
"type": "stdio",
"command": "uvx",
"args": [
"cudaq-docs-mcp"
]
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"cuda-q-docs": {
"command": "uvx",
"args": [
"cudaq-docs-mcp"
]
}
}
}claude_desktop_config.json
{
"mcpServers": {
"cuda-q-docs": {
"command": "uvx",
"args": [
"cudaq-docs-mcp"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"cuda-q-docs": {
"command": "uvx",
"args": [
"cudaq-docs-mcp"
]
}
}
}