Pyxel MCP

MCP server for AI-assisted retro game development with Pyxel

MCP Servers Python Grade D Listed MIT
48.8/100
Rank #937 of 1328
Compare Pyxel 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
2026-07-15 · 55d ago
Recent change
Rank +7

Is Pyxel MCP safe? Pyxel MCP scores 48.8/100 (Grade D), ranked #937 of 1328 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 4.4/10; recent commits are unsigned; last pushed 2026-07-15. 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
2026-09-08
Rank Moved
Rank dropped 19 spots (#918 → #937)
2026-09-07
Rank Moved
Rank dropped 38 spots (#880 → #918)
2026-09-06
Rank Moved
Rank dropped 14 spots (#866 → #880)
Maintainer Checklist
Raise Scorecard signals Current OSSF Scorecard is 4.4/10. 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.
Refresh maintenance signals The repo was last pushed 55 days ago. Fresh activity helps separate stable projects from stale ones.
28.8
Activity sub-score · out of 100
#538

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade D 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 2026-09-08 15:33 UTC · Repo last pushed 55 days ago

Rank Trend

2026-08-11 2026-09-08

Activity & Reach

Stars
26
Forks
3
Last Push
2026-07-15
55 days ago
Commits (4 wk)
0
Downloads (7d)
86
pypi
HN mentions (30d)
Open Issues
2
Rank Change
▼19
was #918

Analysis

HVTrust Dimensions vs MCP Servers

48.8 / 100 · 100.0% confidence

Pyxel MCP MCP Servers average (778 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
5.5 / 25
4.4 below avg 9.9
Identity / Provenance60% listing status · 40% build provenance
10.8 / 18
2.6 below avg 13.4
Transparency50% declared license · 50% OSSF Scorecard
12.2 / 17
in line with avg 12.0
Maintenance60% last-push freshness · 40% commit activity
8.3 / 20
3.9 below avg 12.2
AdoptionLog-scaled stars · package downloads
6.0 / 20
0.9 below avg 6.9

Activity Inputs

28.8 / 100
StarsRepository reach
8.6 / 30
FreshnessLast push recency
17.4 / 25
ActivityRecent commits
0.0 / 25
CommunityFork signal
2.8 / 20

Supply Chain Trust

Package Provenance
None
No package attestations found
OSSF Scorecard
4.4 / 10
OpenSSF Scorecard · scanned Aug 31, 2026
Signed Commits
0%
of last 100 commits verified
Binary-Artifacts 10
Branch-Protection 0
CI-Tests -1
CII-Best-Practices 0
Code-Review 0
Contributors 0
Dangerous-Workflow 10
Dependency-Update-Tool 0
Fuzzing 0
License 10
Maintained 10
Packaging -1
Pinned-Dependencies 0
SAST 0
Security-Policy 10
Signed-Releases -1
Token-Permissions 0
Vulnerabilities 10

Is Pyxel MCP safe?

Public trust evidence for Pyxel 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 Pyxel MCP publish package provenance?
No published build provenance is currently detected for Pyxel 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 Pyxel MCP have an OpenSSF Scorecard?
Pyxel MCP has an OpenSSF Scorecard score of 4.4/10. 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 Pyxel MCP actively maintained?
Slowing down. Last push was 55 days ago — keep an eye on whether activity resumes.
What license does Pyxel MCP use?
Pyxel MCP ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are Pyxel MCP's commits signed?
0% of the last 100 commits to Pyxel 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
Pyxel 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 Pyxel MCP?

For maintainers

HVTrust scores Pyxel 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 17Score 2Listed 1HVTrust 1Scorecard 1
2026-09-08
Rank Moved
Rank dropped 19 spots (#918 → #937)
2026-09-07
Rank Moved
Rank dropped 38 spots (#880 → #918)
2026-09-06
Rank Moved
Rank dropped 14 spots (#866 → #880)
2026-09-05
Rank Moved
Rank dropped 58 spots (#808 → #866)
2026-09-04
Rank Moved
Rank dropped 36 spots (#772 → #808)
2026-09-03
Rank Moved
Rank dropped 41 spots (#731 → #772)
2026-09-02
Rank Moved
Rank dropped 35 spots (#696 → #731)
2026-09-01
Rank Moved
Rank dropped 29 spots (#667 → #696)
2026-08-31
Scorecard Added
OSSF Scorecard: 4.4/10
2026-08-31
Rank Moved
Rank rose 405 spots (#1072 → #667)
2026-08-31
HVTrust Changed
HVTrust up 20.6pts (28.8 → 49.4)
2026-08-30
Rank Moved
Rank dropped 55 spots (#1017 → #1072)
2026-08-29
Rank Moved
Rank dropped 52 spots (#965 → #1017)
2026-08-28
Rank Moved
Rank dropped 35 spots (#930 → #965)
2026-08-27
Rank Moved
Rank dropped 25 spots (#905 → #930)
2026-08-26
Rank Moved
Rank dropped 113 spots (#792 → #905)
2026-08-16
Rank Moved
Rank dropped 15 spots (#773 → #788)
2026-08-14
Rank Moved
Rank dropped 16 spots (#756 → #772)
2026-08-14
Activity Score Changed
Activity score down 6pts (39 → 33)
2026-08-10
Rank Moved
Rank dropped 40 spots (#717 → #757)
2026-08-09
Activity Score Changed
Activity score down 10pts (49 → 39)
2026-08-08
Newly Listed
First tracked at rank #689

Embed Badge Badge guide for maintainers →

For maintainers
HVTrust 48.8 Grade D
Markdown:
[![HVTrust](https://hvtracker.net/badge/pyxel-mcp.svg)](https://hvtracker.net/agents/pyxel-mcp)
HTML:
<a href="https://hvtracker.net/agents/pyxel-mcp"><img src="https://hvtracker.net/badge/pyxel-mcp.svg" alt="HVTrust"></a>

Other agents in MCP Servers

Data sources
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 v4.3 · Raw JSON