gpu-mcp
Exposes local NVIDIA GPU (CUDA) and Rust-to-WASM toolchain as MCP tools for sovereign local compute.
README
gpu-mcp
Sovereign local compute over the Model Context Protocol.
gpu-mcp is a zero-dependency (stdlib-only), air-gappable MCP server that
exposes your local NVIDIA GPU (CUDA) and Rust → WASM toolchain to any
MCP client — Claude Desktop, Cursor, gemini-cli, or Hermes Agent — as
protocol-native tools. Nothing leaves the machine: the brain is a local model
socket, the hands are local processes.
Canonical scheme (Hermes): ae://glocal-agent (alias +ae://cc, home://).
Tools
| tool | what it does |
|---|---|
probe_gpu |
Live nvidia-smi telemetry on the local machine |
compile_kernel |
Compile a CUDA matmul kernel with nvcc (via MSVC vcvars64) |
run_kernel |
Execute the compiled CUDA kernel on the local GPU, host-side timed |
rust_build_wasm |
Compile a Rust crate to wasm32-unknown-unknown (local) |
rust_run_wasm |
Run a .wasm via wasmtime if present; else report capability |
Install
pip install gpu-mcp
# or, from source
git clone https://github.com/MYaelMendez/gpu-mcp && cd gpu-mcp
pip install -e .
Run the server
python -m gpu_mcp # stdio MCP server (register this with your client)
python -m gpu_mcp --self-test # MCP handshake self-check (no GPU required)
Register with an MCP client
Point any MCP client at:
{
"mcpServers": {
"gpu-mcp": {
"command": "python",
"args": ["-m", "gpu_mcp"]
}
}
}
Works with Claude Desktop, Cursor, gemini-cli, and the Hermes Agent
ae://glocal-agent surface.
Hermes Agent integration
gpu-mcp is a first-party primitive of the Hermes Agent
sovereign stack. In hermes-fork, the VS Code extension bundles it and the
conductor resolves ae://glocal-agent → mcp://gpu-mcp. This repo is the
canonical, standalone, pip-installable source of truth.
Tests
pytest # MCP handshake + offline hands
python -m gpu_mcp --self-test # quick in-process handshake check
GPU/wasm tool tests exercise real nvidia-smi, nvcc, and cargo when
present; they fail loud (not silent) when the local toolchain is missing.
Why
Cloud agents can't give you your own GPU. gpu-mcp is the command-&-control
surface for a bounded, offline local agent — your silicon, your weights,
your rules. #opensourceware #hermiphicationisinevitable
MIT — © Yael Mendez · æ.store
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。