MCP Imagenate
An MCP server for image generation with Gemini, OpenAI gpt-image, BFL FLUX, and Reve
Is MCP Imagenate safe? Promising trust profile, but some evidence still deserves review.
Compare MCP Imagenate
How does it stack up against its MCP Servers neighbours?
Pick any agent to compare →In detail: MCP Imagenate scores 59.6/100 (Grade C), ranked #644 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 4.9/10; 31% of recent commits are signed; last pushed 2026-09-15. Every point is earned from checkable signals — never paid placement. How scoring works →
How MCP Imagenate compares in MCP Servers
- #355 OpenResearch MCP 59.9 +0.3
- #356 Brightspace MCP 59.9 +0.3
- #357 MCP Imagenate 59.6 this agent
- #358 Funplay Cocos MCP 59.6 ±0
- #359 ArcGIS MCP Bridge 59.5 −0.1
Bars show each HVTrust score; the tick marks MCP Imagenate’s 59.6.
Where the 59.6 comes from
HVTrust dimensions vs the MCP Servers average
59.6 / 100 · 100.0% confidenceMCP Imagenate 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
54.0 / 100Supply Chain Trust
Common questions about MCP Imagenate
Does MCP Imagenate publish package provenance?
Does MCP Imagenate have an OpenSSF Scorecard?
Is MCP Imagenate actively maintained?
What license does MCP Imagenate use?
Are MCP Imagenate'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 MCP Imagenate'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 MCP Imagenate?
For maintainers
HVTrust scores MCP Imagenate 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/mcp-imagenate)
<a href="https://hvtracker.net/agents/mcp-imagenate"><img src="https://hvtracker.net/badge/mcp-imagenate.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