gpu-mcp
Related Servers
Alternatives to gpu-mcp
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityDmaintenanceExposes MCP tools that enable remote LLMs to query local Docker containers, OS processes, and system services in real time.-

Local AI MCPofficial
AlicenseAqualityCmaintenanceUnified MCP server for managing local model runtimes (Ollama, LM Studio, etc.), enabling provider-agnostic discovery, lifecycle management, hardware-fit checks, and delegated inference.1617 npmCreative Commons Attribution Non Commercial No Derivatives 4.0 International- AlicenseNot gradedqualityBmaintenanceEnables peer-to-peer AI inference donation by exposing MCP tools to check node status and request capacity, with local-first compute sharing, consent, and metering.34 npmMIT
- AlicenseAqualityCmaintenanceExposes NVIDIA GPU metrics (info, utilization, VRAM, temperature) via MCP tools for real-time querying from AI assistants.5MIT
- AlicenseNot gradedqualityAmaintenanceEnables local AI models to be used through MCP, exposing tools for coding assistance, code review, model listing, status checks, and benchmarking.Apache 2.0
- AlicenseAqualityAmaintenanceDependency-free, locally sandboxed MCP stdio server. Tools run as WASM inside a capability-based WASI sandbox (wasmtime); every tools/call is attested with cost/policy and signed manifests fail-closed.3229 PyPI48Business Source 1.1
TDQS
Scored across 5 tools
The GPU tools (compile_kernel, run_kernel, probe_gpu) are distinct from the Rust/WASM tools (rust_build_wasm, rust_run_wasm), but the mixing of two unrelated domains under the 'gpu-mcp' name creates confusion about which tool to use for a given task.
All tools follow a verb_noun pattern (e.g., compile_kernel, probe_gpu), but the Rust tools include a 'rust_' prefix while the GPU tools do not, introducing a minor inconsistency.
With only 5 tools, the number is well-suited for a focused MCP server. Each tool serves a specific purpose without unnecessary redundancy.
The GPU toolset covers compilation, execution, and monitoring, but lacks features like device management or memory operations. The Rust/WASM subset is minimal and feels like an afterthought, leaving both domains incomplete.