Houtini Ai Gemini MCP

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MCP Servers TypeScript Grade C Listed Apache-2.0
55.5/100
Rank #589 of 1320
Compare Houtini Ai Gemini MCP

Promising trust profile, but some evidence still deserves review.

Open compare tool Suggest correction
Listing state
Listed
Evidence coverage
Grade B · 3/5 signals
Last push
2026-08-17 · 18d ago
Recent change
Rank +8

Is Houtini Ai Gemini MCP safe? Houtini Ai Gemini MCP scores 55.5/100 (Grade C), ranked #589 of 1320 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 2026-08-17. Every point is earned from checkable signals — never paid placement. How scoring works →

Ranked neighbours in MCP Servers

Quick Trust Read

What Would Improve It
Publish package provenance or release attestations for stronger supply-chain evidence.
Recent Changes
2026-09-03
Rank Moved
Rank dropped 31 spots (#549 → #580)
2026-09-02
Grade Changed
Trust grade D → C
2026-09-02
Rank Moved
Rank rose 464 spots (#1013 → #549)
Maintainer Checklist
Raise Scorecard signals Current OSSF Scorecard is 4.1/10. Tighten the weakest checks to improve public safety evidence.
Publish provenance Add package provenance or release attestations so users can verify where shipped artifacts came from.
Increase signed commits Raise the share of verified-signed commits to make maintainer identity and release history easier to trust.
49.7
Activity sub-score · out of 100
#277

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 →

Signals refreshed 2026-09-04 14:33 UTC · Repo last pushed 18 days ago

Rank Trend

2026-08-11 2026-09-04

Activity & Reach

Stars
31
Forks
9
Last Push
2026-08-17
18 days ago
Commits (4 wk)
11
Downloads (7d)
723
npm
HN mentions (30d)
Open Issues
3
Rank Change
▼9
was #580

Analysis

HVTrust Dimensions vs MCP Servers

55.5 / 100 · 100.0% confidence

Houtini Ai Gemini MCP MCP Servers average (778 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
5.2 / 25
4.3 below avg 9.5
Identity / Provenance60% listing status · 40% build provenance
10.8 / 18
2.6 below avg 13.4
Transparency50% declared license · 50% OSSF Scorecard
12.0 / 17
in line with avg 11.8
Maintenance60% last-push freshness · 40% commit activity
15.1 / 20
2.9 above avg 12.2
AdoptionLog-scaled stars · package downloads
7.4 / 20
1.2 above avg 6.2

Activity Inputs

49.7 / 100
StarsRepository reach
9.0 / 30
FreshnessLast push recency
22.5 / 25
ActivityRecent commits
13.5 / 25
CommunityFork signal
4.7 / 20

Supply Chain Trust

Package Provenance
None
No package attestations found
OSSF Scorecard
4.1 / 10
OpenSSF Scorecard · scanned Sep 3, 2026
Signed Commits
1%
of last 100 commits verified
Binary-Artifacts 10
Branch-Protection 0
CI-Tests 0
CII-Best-Practices 0
Code-Review 0
Contributors 6
Dangerous-Workflow 10
Dependency-Update-Tool 0
Fuzzing 0
License 10
Maintained 10
Packaging -1
Pinned-Dependencies 2
SAST 0
Security-Policy 0
Signed-Releases -1
Token-Permissions 10
Vulnerabilities 0

Is Houtini Ai Gemini MCP safe?

Houtini Ai Gemini MCP has a mixed signal profile. Some trust indicators are present, others are missing. Whether it is safe for your use case depends on which gaps matter to you — review the breakdown below before adopting in production.
Does Houtini Ai Gemini MCP publish package provenance?
No published build provenance is currently detected for Houtini Ai Gemini MCP. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.
Does Houtini Ai Gemini MCP have an OpenSSF Scorecard?
Houtini Ai Gemini MCP has an OpenSSF Scorecard score of 4.1/10. The Scorecard checks for branch protection, signed releases, dependency updates, fuzzing, code review, and other supply-chain hygiene items. See the full check breakdown on this page.
Is Houtini Ai Gemini MCP actively maintained?
Maintained. Last push was 18 days ago.
What license does Houtini Ai Gemini MCP use?
Houtini Ai Gemini MCP ships under Apache-2.0. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are Houtini Ai Gemini MCP's commits signed?
1% of the last 100 commits to Houtini Ai Gemini MCP are verified-signed (GPG, SSH, S/MIME, or GitHub's signing flow). Signed commits help confirm that code was authored by who the commit claims.

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
Scored in HVTrust

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 Server Support
high confidence
Implemented
Houtini Ai Gemini MCP appears to expose MCP server capabilities.
Detailed evidence is not shown in the public view.
External Service Dependencies
high confidence
1 detected
Public provider/service dependencies detected.
Credential signal: API keys or service config markers documented.
Tool / Plugin Surface
None detected
No clear plugin system or broad tool surface detected.
Detailed evidence is not shown in the public view.
Package Provenance Drift
high confidence
Match
Published package metadata matches the tracked repo
Detailed evidence is not shown in the public view.
  • MCP signal live
  • External deps live
  • Tool / plugin surface live
  • Package provenance drift live

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
Rank 12HVTrust 2Listed 1Scorecard 1Grade 1
2026-09-03
Rank Moved
Rank dropped 31 spots (#549 → #580)
2026-09-02
Grade Changed
Trust grade D → C
2026-09-02
Rank Moved
Rank rose 464 spots (#1013 → #549)
2026-09-02
HVTrust Changed
HVTrust up 19.4pts (36.2 → 55.6)
2026-09-01
Rank Moved
Rank dropped 43 spots (#970 → #1013)
2026-08-31
Rank Moved
Rank dropped 32 spots (#938 → #970)
2026-08-30
Rank Moved
Rank dropped 48 spots (#890 → #938)
2026-08-29
Rank Moved
Rank dropped 49 spots (#841 → #890)
2026-08-28
Rank Moved
Rank dropped 23 spots (#818 → #841)
2026-08-27
Rank Moved
Rank dropped 25 spots (#793 → #818)
2026-08-26
Scorecard Added
OSSF Scorecard: 4.1/10
2026-08-26
Rank Moved
Rank rose 258 spots (#1051 → #793)
2026-08-26
HVTrust Changed
HVTrust up 16.0pts (20.5 → 36.5)
2026-08-16
Rank Moved
Rank dropped 35 spots (#1012 → #1047)
2026-08-15
Rank Moved
Rank rose 11 spots (#1023 → #1012)
2026-08-10
Rank Moved
Rank dropped 60 spots (#967 → #1027)
2026-08-08
Newly Listed
First tracked at rank #963

Embed Badge Badge guide for maintainers →

For maintainers
HVTrust 55.5 Grade C
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Other agents in MCP Servers

Data sources
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