Houtini Ai Gemini MCP
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Is Houtini Ai Gemini MCP safe? Thin or incomplete trust evidence. Review carefully before production use.
Compare Houtini Ai Gemini MCP
How does it stack up against its MCP Servers neighbours?
Pick any agent to compare →In detail: Houtini Ai Gemini MCP scores 54.3/100 (Grade C), ranked #810 of 1325 tracked open-source AI agent projects, on evidence coverage B (3 of 5 independent signal types). The public evidence: no package-provenance attestation found; OSSF Scorecard rates its supply-chain practices 4.1/10; 1% of recent commits are signed; last pushed 2026-09-24. Every point is earned from checkable signals — never paid placement. How scoring works →
How Houtini Ai Gemini MCP compares in MCP Servers
- #452 Local FAISS MCP Server 54.4 +0.1
- #453 Funplay Unity MCP 54.3 ±0
- #454 Houtini Ai Gemini MCP 54.3 this agent
- #455 MCPSpend 54.2 −0.1
- #456 MCP Baepsae 54.2 −0.1
Bars show each HVTrust score; the tick marks Houtini Ai Gemini MCP’s 54.3.
Where the 54.3 comes from
HVTrust dimensions vs the MCP Servers average
54.3 / 100 · 100.0% confidenceHoutini Ai Gemini MCP 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 B is separate — it grades how many independent signal types back the score (3 of 5), so a high score on thin evidence stays visible. Full methodology →
Rank Trend
Activity & Reach
Analysis
Activity Inputs
47.4 / 100Supply Chain Trust
Common questions about Houtini Ai Gemini MCP
Does Houtini Ai Gemini MCP publish package provenance?
Does Houtini Ai Gemini MCP have an OpenSSF Scorecard?
Is Houtini Ai Gemini MCP actively maintained?
What license does Houtini Ai Gemini MCP use?
Are Houtini Ai Gemini MCP'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 Houtini Ai Gemini MCP'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 Houtini Ai Gemini MCP?
For maintainers
HVTrust scores Houtini Ai Gemini MCP 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/houtini-ai-gemini-mcp)
<a href="https://hvtracker.net/agents/houtini-ai-gemini-mcp"><img src="https://hvtracker.net/badge/houtini-ai-gemini-mcp.svg" alt="HVTrust"></a>
Other agents in MCP Servers
GitHub REST API (repo, commits, stars, forks, license) · npm Registry (downloads, provenance) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.3 · Raw JSON