activeing123/mcptoon - Open Source PR Review Scorecard

Zero-setup MCP client for every AI agent. Sync MCP servers across agents. Token-efficient CLI: 99.8% less tokens on discovery. Zero deps.

C-Rank Grade: B (Solid) - 46/100

External PR Merge Rate: 50%

Response Time: 24h

First Timer Success: -

Frequently Asked Questions

Is activeing123/mcptoon welcoming to first-time open-source contributors?

activeing123/mcptoon has a recorded first-timer success rate of 0.0%. Repositories ranked B typically provide actionable feedback during code reviews and actively nurture new community contributors.

How fast can I expect code review feedback on my pull request?

Maintainers in activeing123/mcptoon respond to incoming external pull requests in approximately 24.0 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 46.5 C-Rank™ score (B Tier) represent?

The C-Rank™ system evaluates GitHub projects on a 0–100 scale using real data: PR merge rates, review turnaround time, active maintainer presence, and first-time contributor success. A score of 46.5 places activeing123/mcptoon in the B tier.

What is the external contributor pull request merge rate for activeing123/mcptoon?

The external contributor pull request merge rate for activeing123/mcptoon is 50.0%, based on public PR activity from non-core contributors.

Are there Good First Issues available in activeing123/mcptoon?

activeing123/mcptoon does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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activeing123/mcptoon

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BSolid(46/100)Python

Zero-setup MCP client for every AI agent. Sync MCP servers across agents. Token-efficient CLI: 99.8% less tokens on discovery. Zero deps.

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AI Maintainer Review Guidelines

Review Persona

Active Open-Source Maintainer

Warmth Score
7.8/10
Patience Score
8.2/10
Nitpick Rate
20%

Active maintainer team in activeing123/mcptoon welcoming community pull requests and bug fixes.

Top PR Submission Do's

  • Ensure code complies with repository style conventions
  • Keep PRs focused and well-documented

Top PR Friction Pitfalls (Don'ts)

  • Do not submit unlinked PRs without context
  • Do not break existing automated test suites
Response Velocity
23 hours
Standard maintainer review cycle

Average Response Latency

Tracks hours until a maintainer leaves a review, comment, or PR response.

Merge Efficiency
50.0%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
0.0%
No first-timer merges recorded in window

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
1 core
Single maintainer review bottleneck
Diagnostic Health HUD
50.0%
Merge Gauge
0.0%
1st-Timer
Community Vibe32/100

Embed C-Rank Badge

Show contributors that your repository actively reviews and merges external pull requests.

GetMerged C-Rank badge for activeing123/mcptoon
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/activeing123/mcptoon)](https://getmerged.abhishekco.de/activeing123/mcptoon?utm_source=github&utm_medium=badge)

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for activeing123/mcptoon.

View all good first issues directly on GitHub

Looking for more Python beginner tasks?Explore Python GFI

Contributor Community Vibe Feedback

Rate what actually matters after opening a pull request here.

Have you contributed to this repo?

Rate your first-hand PR experience (review speed, maintainer responsiveness, and onboarding ease) to help other contributors.

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Maintainer helpfulness
Review speed
Beginner friendliness

Contributor Compatibility & Review Speed Analysis for activeing123/mcptoon

When evaluating whether to contribute to activeing123/mcptoon, response velocity and maintainer engagement are crucial. GetMerged continuously tracks pull request trajectories, first-comment latency, and code review rounds to help developers avoid submitting pull requests to backlogged repositories.

Currently, maintainers of activeing123/mcptoon acknowledge new external contributions in approximately 23 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 50.0% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to activeing123/mcptoon

01

Is activeing123/mcptoon welcoming to first-time open-source contributors?

activeing123/mcptoon has a recorded first-timer success rate of 0.0%. Repositories ranked Solid typically provide actionable feedback during code reviews and actively nurture new community contributors.

02

How fast can I expect code review feedback on my pull request?

The initial maintainer response time averages ~23 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 46.5 C-Rank™ score represent?

The C-Rank™ index scores repositories on a 0 to 100 scale using an objective formula: external PR merge rates, initial response speed, active maintainer count, and first-time contributor retention. A score of 46.5 places activeing123/mcptoon in the Solid tier.

04

What is the external contributor pull request merge rate for activeing123/mcptoon?

The external pull request merge rate is 50.0%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.

05

Are there beginner Good First Issues open in activeing123/mcptoon?

activeing123/mcptoon does not have open beginner labels indexed currently, but external PRs for bugs and documentation improvements are evaluated via normal issue triage.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for activeing123/mcptoon are automatically retrieved via the public GitHub API and recalculated daily. Insider pull requests submitted by repository owners or organization members are excluded from merge rate calculations to preserve objective external contributor statistics.