RRepoGEO

REPOGEO REPORT · LITE

getsentry/XcodeBuildMCP

Default branch main · commit 51271396 · scanned 6/24/2026, 10:51:41 PM

GitHub: 5,975 stars · 298 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface getsentry/XcodeBuildMCP, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening to explicitly state its AI agent focus and differentiate it

    Why:

    CURRENT
    A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.
    COPY-PASTE FIX
    XcodeBuildMCP is a Model Context Protocol (MCP) server and CLI specifically designed to provide rich, real-time context and tools for AI coding agents working on iOS and macOS projects. Its primary purpose is to enhance AI agent understanding and interaction with Xcode, not to optimize build performance or manage project files directly.
  • mediumreadme#2
    Add a dedicated section explaining the Model Context Protocol (MCP) and its value for AI agents

    Why:

    COPY-PASTE FIX
    ## What is Model Context Protocol (MCP) and Why for AI Agents? 
 XcodeBuildMCP implements the Model Context Protocol (MCP) to bridge the gap between complex iOS/macOS development environments and AI coding agents. It provides agents with structured access to project details, build logs, and Xcode functionalities, enabling them to understand, debug, and modify projects more effectively than with generic command-line tools.
  • lowreadme#3
    Add a comparison section to differentiate from common Xcode project tools

    Why:

    COPY-PASTE FIX
    ## Comparison to other Xcode tools 
 Unlike tools such as XcodeGen or xcproj which focus on project generation and manipulation, or `xcodebuild` which is a general-purpose build utility, XcodeBuildMCP is specifically designed to serve as a Model Context Protocol (MCP) server. Its goal is to provide AI coding agents with a structured, real-time understanding of Xcode projects, rather than directly managing project files or optimizing build processes.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface getsentry/XcodeBuildMCP
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
XcodeGen
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. XcodeGen · recommended 1×
  2. xcproj · recommended 1×
  3. Custom Xcode Plugins · recommended 1×
  4. Swift Package Manager (SPM) · recommended 1×
  5. SourceKit-LSP · recommended 1×
  • CATEGORY QUERY
    How can AI coding agents gain better context for iOS and macOS development projects?
    you: not recommended
    AI recommended (in order):
    1. XcodeGen
    2. xcproj
    3. Custom Xcode Plugins
    4. Swift Package Manager (SPM)
    5. SourceKit-LSP
    6. SwiftSyntax
    7. Apple Developer Documentation
    8. docc
    9. Git

    AI recommended 9 alternatives but never named getsentry/XcodeBuildMCP. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What command-line tools help AI agents understand and interact with Xcode project structures?
    you: not recommended
    AI recommended (in order):
    1. XcodeGen (yonaskolb/XcodeGen)
    2. xcproj (tuist/xcproj)
    3. xcode-select
    4. xcodebuild
    5. PlistBuddy
    6. grep/awk/sed

    AI recommended 6 alternatives but never named getsentry/XcodeBuildMCP. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of getsentry/XcodeBuildMCP?
    pass
    AI did not name getsentry/XcodeBuildMCP — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts getsentry/XcodeBuildMCP in production, what risks or prerequisites should they evaluate first?
    pass
    AI named getsentry/XcodeBuildMCP explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo getsentry/XcodeBuildMCP solve, and who is the primary audience?
    pass
    AI named getsentry/XcodeBuildMCP explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)
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getsentry/XcodeBuildMCP — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite