GPU MCP Server
MCP server for NVIDIA GPU metrics give AI agents real-time access to GPU utilization, memory, temperature, and power
Is GPU MCP Server safe? Thin or incomplete trust evidence. Review carefully before production use.
Compare GPU MCP Server
How does it stack up against its MCP Servers neighbours?
- Serial MCP Server +0.3 higher
- Pulsemcp MCP Servers +0.2 higher
- MCPfinder - MCP Server Discovery same score
In detail: GPU MCP Server scores 52.6/100 (Grade C), ranked #862 of 1325 tracked open-source AI agent projects, on evidence coverage C (2 of 5 independent signal types). The public evidence: no package-provenance attestation found; OSSF Scorecard rates its supply-chain practices 5.5/10; 72% of recent commits are signed; last pushed 2026-09-21. Every point is earned from checkable signals — never paid placement. How scoring works →
How GPU MCP Server compares in MCP Servers
- #486 Serial MCP Server 52.9 +0.3
- #487 Pulsemcp MCP Servers 52.8 +0.2
- #488 GPU MCP Server 52.6 this agent
- #489 MCPfinder - MCP Server Discovery 52.6 ±0
- #490 SunoMCP 52.5 −0.1
Bars show each HVTrust score; the tick marks GPU MCP Server’s 52.6.
Where the 52.6 comes from
HVTrust dimensions vs the MCP Servers average
52.6 / 100 · 100.0% confidenceGPU MCP Server MCP Servers average (775 agents)
Quick Trust Read
How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade C reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage C is separate — it grades how many independent signal types back the score (2 of 5), so a high score on thin evidence stays visible. Full methodology →
Rank Trend
Activity & Reach
Analysis
Activity Inputs
46.5 / 100Supply Chain Trust
Common questions about GPU MCP Server
Does GPU MCP Server publish package provenance?
Does GPU MCP Server have an OpenSSF Scorecard?
Is GPU MCP Server actively maintained?
What license does GPU MCP Server use?
Are GPU MCP Server's commits signed?
Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.
AI agent surface
MCP, providers, tool surface
These runtime-trust fields — detected from public repo docs and manifests — contribute a bounded adjustment to this project's HVTrust score alongside supply-chain evidence. The exact values each field can add or subtract are documented in the methodology → Compare this surface across every listed agent in the capability matrix →
- MCP signal live
- External deps live
- Tool / plugin surface live
- Package provenance drift live
Detected changes to GPU MCP Server's runtime surface and supply-chain posture, from daily public-signal snapshots. A change here means our detectors see something different — a genuinely changed capability, or better evidence of an existing one.
Maintain GPU MCP Server?
For maintainers
HVTrust scores GPU MCP Server from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.
Reputation Timeline
Signal history
Embed Badge Badge guide for maintainers →
For maintainers
[](https://hvtracker.net/agents/gpu-mcp-server)
<a href="https://hvtracker.net/agents/gpu-mcp-server"><img src="https://hvtracker.net/badge/gpu-mcp-server.svg" alt="HVTrust"></a>
Other agents in MCP Servers
GitHub REST API (repo, commits, stars, forks, license) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.3 · Raw JSON