REPOGEO REPORT · LITE
modelcontextprotocol/swift-sdk
Default branch main · commit a0ae212e · scanned 6/27/2026, 10:01:51 AM
GitHub: 1,420 stars · 199 forks
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.
3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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.
- highreadme#1Reposition README's opening sentence to clarify role as protocol SDK
Why:
CURRENTOfficial Swift SDK for the [Model Context Protocol][mcp] (MCP).
COPY-PASTE FIXThe official Swift SDK for implementing the [Model Context Protocol][mcp] (MCP), a standardized communication layer for AI/ML models, distinct from direct AI model APIs or local ML frameworks.
- hightopics#2Expand repository topics for better categorization
Why:
CURRENTmcp, swift
COPY-PASTE FIXmcp, swift, ai-protocol, ml-protocol, sdk, ai-communication, machine-learning, protocol-implementation, standardized-api
- mediumhomepage#3Add homepage URL to repository About section
Why:
COPY-PASTE FIXhttps://modelcontextprotocol.org
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.
- Core ML · recommended 2×
- OpenAI API · recommended 1×
- Google Cloud Vertex AI · recommended 1×
- Hugging Face Inference API · recommended 1×
- MLX · recommended 1×
- CATEGORY QUERYHow to integrate Swift applications with AI/ML models for completions and prompts?you: not recommendedAI recommended (in order):
- OpenAI API
- Google Cloud Vertex AI
- Hugging Face Inference API
- Core ML
- MLX
- AWS SageMaker
- Microsoft Azure OpenAI Service
- Azure Machine Learning
AI recommended 8 alternatives but never named modelcontextprotocol/swift-sdk. This is the gap to close.
Show full AI answer
- CATEGORY QUERYNeed a Swift library to implement a standardized protocol for AI model interaction.you: not recommendedAI recommended (in order):
- Core ML
- Swift for TensorFlow
- gRPC Swift
- Alamofire
- URLSession
- Moya
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 completenesswarn
Suggestion:
- README presencepass
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?passAI 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?passAI 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?passAI 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
Drop this badge into the README of modelcontextprotocol/swift-sdk. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/modelcontextprotocol/swift-sdk)<a href="https://repogeo.com/en/r/modelcontextprotocol/swift-sdk"><img src="https://repogeo.com/badge/modelcontextprotocol/swift-sdk.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
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