RRepoGEO

REPOGEO REPORT · LITE

modelcontextprotocol/swift-sdk

Default branch main · commit a0ae212e · scanned 5/16/2026, 1:06:20 PM

GitHub: 1,378 stars · 192 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 modelcontextprotocol/swift-sdk, 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
  • hightopics#1
    Expand repository topics to improve categorization

    Why:

    CURRENT
    mcp, swift
    COPY-PASTE FIX
    mcp, swift, ai, machine-learning, protocol, sdk, client-server, llm, model-context, generative-ai
  • highreadme#2
    Reposition the README's opening statement for clearer category identification

    Why:

    CURRENT
    # MCP Swift SDK
    
    Official Swift SDK for the [Model Context Protocol][mcp] (MCP).
    COPY-PASTE FIX
    # MCP Swift SDK
    
    Official Swift SDK for the [Model Context Protocol][mcp] (MCP), a standardized framework for building AI and ML model communication into Swift client/server applications.
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add the official project homepage URL (e.g., https://modelcontextprotocol.org) to the repository's About section.

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 modelcontextprotocol/swift-sdk
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
URLSession
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. URLSession · recommended 2×
  2. Alamofire · recommended 1×
  3. OpenAI Swift Library · recommended 1×
  4. GoogleGenerativeAI · recommended 1×
  5. AWS Amplify · recommended 1×
  • CATEGORY QUERY
    How to integrate AI model communication into a Swift application?
    you: not recommended
    AI recommended (in order):
    1. Alamofire
    2. URLSession
    3. OpenAI Swift Library
    4. GoogleGenerativeAI
    5. AWS Amplify
    6. Firebase ML Kit
    7. Core ML

    AI recommended 7 alternatives but never named modelcontextprotocol/swift-sdk. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Swift library helps build client/server applications for standardized AI model interaction?
    you: not recommended
    AI recommended (in order):
    1. Alamofire (Alamofire/Alamofire)
    2. SwiftNIO (apple/swift-nio)
    3. GRPC-Swift (grpc/grpc-swift)
    4. Vapor (vapor/vapor)
    5. Moya (Moya/Moya)
    6. URLSession

    AI recommended 6 alternatives but never named modelcontextprotocol/swift-sdk. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 modelcontextprotocol/swift-sdk?
    pass
    AI did not name modelcontextprotocol/swift-sdk — 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 modelcontextprotocol/swift-sdk in production, what risks or prerequisites should they evaluate first?
    pass
    AI named modelcontextprotocol/swift-sdk 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 modelcontextprotocol/swift-sdk solve, and who is the primary audience?
    pass
    AI named modelcontextprotocol/swift-sdk explicitly

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

Embed your GEO score

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modelcontextprotocol/swift-sdk — 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