MCP Trust Score

[Matvey-Kuk]

Hi!

This PR adds the "Trust Score" badge from our new Open Source MCP catalog.

Our catalog evaluates MCP servers based on technical quality—like protocol feature implementation and dependency health—rather than vanity metrics like GitHub stars.

The scoring process is fully transparent and reproducible:

• Evaluation Script: https://github.com/archestra-ai/website/blob/main/app/app/mcp-catalog/scripts/evaluate-catalog.ts
• Your Server's Page: https://archestra.ai/mcp-catalog/sunriseapps__imagesorcery-mcp

The badge is designed to be respectful to the structure of your readme, example:

Projects like Grafana MCP (https://github.com/grafana/mcp-grafana) are already participating.

We believe that transparent and truly open source MCP catalog should help the community to identify great MCP servers like yours 😊

We'd appreciate your support by merging this PR!

Summary by CodeRabbit

• Documentation
  • Added a Trust Score badge for ImageSorcery MCP to the README, positioned after the PyPI Downloads badge with a separating blank line.
  • Improves the README’s visual indicators for project status without altering application behavior or features.
  • No code or configuration changes; end-user functionality remains unaffected.

[coderabbitai]

Walkthrough

README.md updated to add a Trust Score badge for ImageSorcery MCP after the PyPI Downloads badge; no code or behavior changes.

Changes

Cohort / File(s)	Summary
Docs — README Badge README.md	Inserted Trust Score badge for ImageSorcery MCP after the PyPI Downloads badge; added a blank line.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~2 minutes

Poem

I hop through docs with nimble flair,
A shiny badge now gleams up there. ✨
No code was touched, I swear, I swear—
Just trust, displayed with bunny care,
And downloads nod, “We’re quite aware.” 🐇

Tip

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📥 Commits

Reviewing files that changed from the base of the PR and between 000093e and 43f9095.

📒 Files selected for processing (1)

• README.md (1 hunks)

🔇 Additional comments (1)

README.md (1)

10-11: Badge URLs Verified and Resolving Correctly

Both the badge image and the target catalog page follow redirects and return HTTP 200 with the expected content types:

• Badge URL → image/svg+xml
• Catalog page → text/html; charset=utf-8

The 2-segment path after quality is valid.

All set to merge!

✨ Finishing Touches

🧪 Generate unit tests

• Create PR with unit tests
• Post copyable unit tests in a comment

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[titulus]

@Matvey-Kuk 52 out of 100 is not what I expected 😅

What exactly your AI reviewer missed in ImageSorcery? Can I see the detailed report?

[Matvey-Kuk]

@titulus I re-launched the evaluation, it seems like it didn't parse the releases and a few protocol features. It's 61/100 now, which is pretty high :) The best is 86/100

[Matvey-Kuk]

The whole report is here: https://github.com/archestra-ai/website/blob/main/app/app/mcp-catalog/data/mcp-evaluations/sunriseapps__imagesorcery-mcp.json

[titulus]

I still wonder how exactly it measures. Can I get a report?

[Matvey-Kuk]

@titulus

This script is scraping the repo: https://github.com/archestra-ai/website/blob/main/app/app/mcp-catalog/scripts/evaluate-catalog.ts
This is a part responsible for the quality score: https://github.com/archestra-ai/website/blob/main/app/app/mcp-catalog/lib/quality-calculator/index.ts
Your repo's report is here: https://github.com/archestra-ai/website/blob/main/app/app/mcp-catalog/data/mcp-evaluations/sunriseapps__imagesorcery-mcp.json The frontend leverages this file :)