AEC Model Bridge
Independent Revit MCP ( Model Context Protocol integration for Revit software ).
Is AEC Model Bridge safe? Thin or incomplete trust evidence. Review carefully before production use.
Compare AEC Model Bridge
How does it stack up against its MCP Servers neighbours?
Pick any agent to compare →In detail: AEC Model Bridge scores 51.3/100 (Grade C), ranked #910 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 3.6/10; 3% of recent commits are signed; last pushed 2026-09-23. Every point is earned from checkable signals — never paid placement. How scoring works →
How AEC Model Bridge compares in MCP Servers
- #515 Memory Journal MCP 51.3 ±0
- #516 Starwind UI MCP 51.3 ±0
- #517 AEC Model Bridge 51.3 this agent
- #518 Glif 51.0 −0.3
- #519 Agent Memory MCP 51.0 −0.3
Bars show each HVTrust score; the tick marks AEC Model Bridge’s 51.3.
Where the 51.3 comes from
HVTrust dimensions vs the MCP Servers average
51.3 / 100 · 100.0% confidenceAEC Model Bridge 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
60.7 / 100Supply Chain Trust
Common questions about AEC Model Bridge
Does AEC Model Bridge publish package provenance?
Does AEC Model Bridge have an OpenSSF Scorecard?
Is AEC Model Bridge actively maintained?
What license does AEC Model Bridge use?
Are AEC Model Bridge'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 AEC Model Bridge'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 AEC Model Bridge?
For maintainers
HVTrust scores AEC Model Bridge 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/aec-model-bridge)
<a href="https://hvtracker.net/agents/aec-model-bridge"><img src="https://hvtracker.net/badge/aec-model-bridge.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