build123d MCP
MCP server for build123d to improve AI cognition when creating 3D CAD models
Is build123d MCP safe? Promising trust profile, but some evidence still deserves review.
Compare build123d MCP
How does it stack up against its MCP Servers neighbours?
Pick any agent to compare →In detail: build123d MCP scores 72.9/100 (Grade B), ranked #310 of 1374 tracked open-source AI agent projects, on evidence coverage B (3 of 5 independent signal types). The public evidence: its packages ship with cryptographic provenance; OSSF Scorecard rates its supply-chain practices 4.1/10; 31% of recent commits are signed; no published advisory affects its latest release (build123d-mcp); last pushed 2026-11-09. Every point is earned from checkable signals — never paid placement. How scoring works →
How build123d MCP could raise its score
Each line changes one public signal and recomputes with the live scoring function. The gains don't add up exactly, because the score is capped near the top.
- Raise the OSSF Scorecard from 4.1 to 9.0lowest checks: Branch-Protection 0, CII-Best-Practices 0, Code-Review 0 +10.2 → 83.1 A · #54 of 778
- Sign every commit31% signed today +3.4 → 76.3 B · #144 of 778
Chain of custody
Scanners check what the code says. This traces who ships build123d MCP and whether that has changed: from the source repository, through how changes are reviewed and released, to the package you install. These are the checks for OWASP ASI04 Agentic Supply Chain Vulnerabilities.
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Source Partly signed
github.com/pzfreo/build123d-mcp, Apache-2.0, last pushed 2026-11-09. 31% of the last 100 commits carry a verified signature; the rest can't be tied to a verified identity.
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Review and release Mixed
OpenSSF Scorecard rates the repository's practices 4.1/10 (scanned Nov 9, 2026). The checks that decide who can get a change released:
- Code Review0
- Branch Protection0
- Signed Releasesn/a
- Dangerous Workflow10
- Token Permissions0
- Pinned Dependencies0
All 18 Scorecard checks
Binary-Artifacts 9Branch-Protection 0CI-Tests 10CII-Best-Practices 0Code-Review 0Contributors 3Dangerous-Workflow 10Dependency-Update-Tool 0Fuzzing 0License 10Maintained 10Packaging 10Pinned-Dependencies 0SAST 0Security-Policy 10Signed-Releases -1Token-Permissions 0Vulnerabilities 0 -
Published packages Linked and attested
- PyPI build123d-mcp Source link points back to this repo Build provenance attested
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What you install today No known advisories
Latest release checked: build123d-mcp 0.3.91. No published advisory affects it (OSV, checked 2026-11-09).
Changes to this chain
- 2026-09-23 Package provenance attestation detected
- 2026-09-01 OSSF Scorecard: 4.1/10
Evidence behind this score
Coverage B: 3 of 5 independent evidence types found.
- GitHub repository data
- Package downloads
- Supply-chain checks
- Public actions (missing)
- Community mentions (missing)
Verify this score yourself
Every build re-issues build123d MCP’s score as an Ed25519-signed credential, valid for 7 days. You can check it offline against HVTracker’s published key; if anyone changes a number after signing, verification fails.
What this score doesn’t check
It covers who ships the code, not what the code does. It doesn’t read tool descriptions or prompts for injected instructions, watch runtime behaviour, or find bugs nobody has disclosed yet. For that, run a content scanner before you connect it, such as Cisco MCP Scanner or Snyk Agent Scan.
How build123d MCP compares in MCP Servers
- #181 Yantrikdb MCP 73.0 +0.1
- #182 Screaming Frog SEO Spider MCP Server 73.0 +0.1
- #183 build123d MCP 72.9 this agent
- #184 Arm MCP Server 72.8 −0.1
- #185 MCP Memory Service 72.8 −0.1
Bars show each HVTrust score; the tick marks build123d MCP’s 72.9.
Where the 72.9 comes from
HVTrust dimensions vs the MCP Servers average
72.9 / 100 · 100.0% confidencebuild123d MCP MCP Servers average (778 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 B 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
52.8 / 100Common questions about build123d MCP
Does build123d MCP publish package provenance?
Does build123d MCP have an OpenSSF Scorecard?
Is build123d MCP actively maintained?
What license does build123d MCP use?
Are build123d 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 build123d 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 build123d MCP?
For maintainers
HVTrust scores build123d 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/build123d-mcp)
<a href="https://hvtracker.net/agents/build123d-mcp"><img src="https://hvtracker.net/badge/build123d-mcp.svg" alt="HVTrust"></a>
Other agents in MCP Servers
GitHub REST API (repo, commits, stars, forks, license) · PyPI / pypistats (downloads, provenance) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.4 · Raw JSON