Pyslang MCP

pyslang-mcp is a read-only Model Context Protocol server for compiler-backed Verilog and SystemVerilog analysis. It uses

MCP Servers HTML Grade C Listed Apache-2.0
54.3/100
Rank #423 of 1283
Compare Pyslang MCP

Thin or incomplete trust evidence. Review carefully before production use.

Open compare tool Suggest correction
Listing state
Listed
Evidence coverage
Grade B · 3/5 signals
Last push
2026-06-14 · 59d ago
Recent change
Rank +1

Is Pyslang MCP safe? Pyslang MCP scores 54.3/100 (Grade C), ranked #423 of 1283 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; no OSSF Scorecard result yet; 14% of recent commits are signed; last pushed 2026-06-14. 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
Add or improve OSSF Scorecard coverage so safety checks are easier to verify.
Recent Changes
2026-08-10
Rank Moved
Rank dropped 18 spots (#404 → #422)
2026-08-08
Newly Listed
First tracked at rank #401
Maintainer Checklist
Add Scorecard coverage Expose the repository to OpenSSF Scorecard checks so supply-chain posture is easier to verify.
Increase signed commits Raise the share of verified-signed commits to make maintainer identity and release history easier to trust.
Refresh maintenance signals The repo was last pushed 59 days ago. Fresh activity helps separate stable projects from stale ones.
27.6
Activity sub-score · out of 100
#141

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 2026-08-12 05:02 UTC · Repo last pushed 59 days ago

Rank Trend

2026-08-11 2026-08-12

Activity & Reach

Stars
20
Forks
3
Last Push
2026-06-14
59 days ago
Commits (4 wk)
0
Downloads (7d)
53
pypi
HN mentions (30d)
Open Issues
2
Rank Change
=
was #423

Analysis

HVTrust Dimensions vs MCP Servers

54.3 / 100 · 100.0% confidence

Pyslang MCP MCP Servers average (761 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
8.2 / 25
3.2 above avg 5.0
Identity / Provenance60% listing status · 40% build provenance
18.0 / 18
4.7 above avg 13.3
Transparency50% declared license · 50% OSSF Scorecard
8.5 / 17
in line with avg 8.8
Maintenance60% last-push freshness · 40% commit activity
8.1 / 20
4.3 below avg 12.4
AdoptionLog-scaled stars · package downloads
5.5 / 20
in line with avg 5.8

Activity Inputs

27.6 / 100
StarsRepository reach
7.9 / 30
FreshnessLast push recency
16.8 / 25
ActivityRecent commits
0.0 / 25
CommunityFork signal
2.8 / 20

Supply Chain Trust

Package Provenance
Verified
pypi attestation
OSSF Scorecard
Not available
Signed Commits
14%
of last 100 commits verified

Is Pyslang MCP safe?

Public trust evidence for Pyslang MCP is thin: several supply-chain signals are missing or weak. This does not mean the project is unsafe — it means an outside observer cannot easily verify the usual integrity checks. Treat with extra scrutiny.
Does Pyslang MCP publish package provenance?
Yes. Pyslang MCP's package releases carry build provenance attestations, which cryptographically link the published package back to its source repository and CI workflow.
Does Pyslang MCP have an OpenSSF Scorecard?
No OpenSSF Scorecard data is currently published for Pyslang MCP. Maintainers can enable the Scorecard GitHub Action to get a public score; without it, automated supply-chain hygiene is harder for outsiders to verify.
Is Pyslang MCP actively maintained?
Slowing down. Last push was 59 days ago — keep an eye on whether activity resumes.
What license does Pyslang MCP use?
Pyslang MCP ships under Apache-2.0. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are Pyslang MCP's commits signed?
14% of the last 100 commits to Pyslang 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
medium confidence
Implemented
Pyslang MCP appears to expose MCP server capabilities.
Detailed evidence is not shown in the public view.
External Service Dependencies
None detected
No clear third-party provider dependency detected.
Credential signal: No explicit API-key/config marker detected.
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 Pyslang MCP?

For maintainers

HVTrust scores Pyslang 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
Listed 1Rank 1
2026-08-10
Rank Moved
Rank dropped 18 spots (#404 → #422)
2026-08-08
Newly Listed
First tracked at rank #401

Embed Badge Badge guide for maintainers →

For maintainers
HVTrust 54.3 Grade C
Markdown:
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HTML:
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Other agents in MCP Servers

Data sources
GitHub REST API (repo, commits, stars, forks, license) · PyPI / pypistats (downloads, provenance)
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.3 · Raw JSON