jfarcand/mirroir-mcp - Open Source PR Review Scorecard

MCP server for controlling a real iPhone via macOS iPhone Mirroring...and any MacOs app. Screenshot, tap, swipe, type — from any MCP client.

C-Rank Grade: D (Risky) - 12/100

External PR Merge Rate: -

Response Time: -

First Timer Success: -

Frequently Asked Questions

Is jfarcand/mirroir-mcp welcoming to first-time open-source contributors?

jfarcand/mirroir-mcp has a recorded first-timer success rate of 0.0%. Repositories ranked D 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 jfarcand/mirroir-mcp respond to incoming external pull requests in approximately 0.0 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 12.0 C-Rank™ score (D 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 12.0 places jfarcand/mirroir-mcp in the D tier.

What is the external contributor pull request merge rate for jfarcand/mirroir-mcp?

The external contributor pull request merge rate for jfarcand/mirroir-mcp is 0.0%, based on public PR activity from non-core contributors.

Are there Good First Issues available in jfarcand/mirroir-mcp?

jfarcand/mirroir-mcp does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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jfarcand/mirroir-mcpD•Risky253
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jfarcand/mirroir-mcp

253
InactiveD•Risky(12/100)Low Sample (<20 PRs)Swift

MCP server for controlling a real iPhone via macOS iPhone Mirroring...and any MacOs app. Screenshot, tap, swipe, type — from any MCP client.

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AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
8.3/10
Patience Score
8.6/10
Nitpick Rate
20%

Highly welcoming maintainers in jfarcand/mirroir-mcp. Prompt code reviews with positive guidance for new contributors.

Top PR Submission Do's

  • •Follow maintainer feedback from recent PR reviews

Top PR Friction Pitfalls (Don'ts)

  • •Do not ignore unresolved maintainer review comments
Response Velocity
-
No reviewer activity recorded

Average Response Latency

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

Merge Efficiency
0.0%
Selective 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
0.0%
Merge Gauge
0.0%
1st-Timer
Community Vibe0/100

Embed C-Rank Badge

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GetMerged C-Rank badge for jfarcand/mirroir-mcp
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Active Good First Issues (1)

View on GitHub

Description Could mirroir-mcp support persistent, independently controlled touch contacts for interactions that require holding and dragging in multiple screen regions at the same time? The key requirement is to keep one contact down while moving or tapping with another, and to update or release each contact independently. This would cover simultaneous virtual joystick control, press-and-hold actions, and overlapping drag gestures. From reviewing the current implementation at e1cd98a: InputProviding exposes complete gestures, but no contact IDs or separate touch-down / move / touch-up lifecycle. longPress releases the mouse button after its configured duration. drag interpolates one mouse-left-button trajectory and releases it at the end. This is a feature/feasibility request based on the API and source review; I have not verified this scenario in the game on a real device. Use case PUBG Mobile is a familiar example of the interaction pattern: Keep a contact on the left movement joy

📅 Opened Sep 18, 2026💬 2 comments
Quality: 65/100Contribute
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Contributor Compatibility & Review Speed Analysis for jfarcand/mirroir-mcp

When evaluating whether to contribute to jfarcand/mirroir-mcp, 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 jfarcand/mirroir-mcp acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 0.0% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to jfarcand/mirroir-mcp

01

Is jfarcand/mirroir-mcp welcoming to first-time open-source contributors?

jfarcand/mirroir-mcp has a recorded first-timer success rate of 0.0%. Repositories ranked Risky 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 ~-. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 12.0 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 12.0 places jfarcand/mirroir-mcp in the Risky tier.

04

What is the external contributor pull request merge rate for jfarcand/mirroir-mcp?

The external pull request merge rate is 0.0%. 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 jfarcand/mirroir-mcp?

jfarcand/mirroir-mcp 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 jfarcand/mirroir-mcp 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.