REPOGEO REPORT · LITE
iannuttall/mcp-boilerplate
Default branch main · commit e248a9fd · scanned 5/10/2026, 7:28:08 PM
GitHub: 1,022 stars · 196 forks
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 iannuttall/mcp-boilerplate, 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#1Clarify 'MCP' in README title and opening paragraph
Why:
CURRENT# MCP Boilerplate: Simple Setup Guide This project helps you create your own remote MCP server on Cloudflare with user login and payment options.
COPY-PASTE FIX# Cloudflare AI Assistant Boilerplate (MCP): Simple Setup Guide This project helps you create your own remote **AI assistant server (referred to as MCP server)** on Cloudflare with user login and payment options. It's designed for building monetized AI tools that work with platforms like Cursor and Claude.
- hightopics#2Add relevant topics to the repository
Why:
COPY-PASTE FIX["cloudflare", "ai", "assistant", "boilerplate", "serverless", "stripe", "authentication", "oauth", "monetization", "web-development", "nodejs"]
- mediumhomepage#3Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIXhttps://[YOUR_PROJECT_DEMO_OR_DOCS_URL_HERE]
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.
- vercel/next.js · recommended 2×
- Vercel · recommended 2×
- supabase/supabase · recommended 2×
- Firestore · recommended 2×
- Stripe · recommended 1×
- CATEGORY QUERYHow to build a custom AI assistant tool with user login and payment features?you: not recommendedAI recommended (in order):
- Next.js (vercel/next.js)
- Vercel
- Stripe
- OpenAI API
- Supabase (supabase/supabase)
- PostgreSQL
- Django (django/django)
- Django REST Framework (encode/django-rest-framework)
- React (facebook/react)
- Vue.js (vuejs/core)
- Firebase Authentication
- Firestore
- Firebase Cloud Functions
- Ruby on Rails (rails/rails)
- AWS Amplify
- AWS Cognito
- AWS AppSync
- API Gateway
- DynamoDB
- Aurora
- AWS Lambda
AI recommended 21 alternatives but never named iannuttall/mcp-boilerplate. This is the gap to close.
Show full AI answer
- CATEGORY QUERYLooking for a serverless boilerplate to create monetized AI services with user authentication.you: not recommendedAI recommended (in order):
- Amplify Framework (aws-amplify/amplify-js)
- Serverless Framework (serverless/serverless)
- Next.js (vercel/next.js)
- Vercel
- Supabase (supabase/supabase)
- Auth0
- AWS Serverless Application Model (aws/aws-sam-cli)
- Firebase
- Google Cloud Functions
- Firestore
- Realtime Database
- Azure Static Web Apps
- Azure Functions
- Azure AD B2C
AI recommended 14 alternatives but never named iannuttall/mcp-boilerplate. 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 iannuttall/mcp-boilerplate?passAI did not name iannuttall/mcp-boilerplate — 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 iannuttall/mcp-boilerplate in production, what risks or prerequisites should they evaluate first?passAI named iannuttall/mcp-boilerplate 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 iannuttall/mcp-boilerplate solve, and who is the primary audience?passAI named iannuttall/mcp-boilerplate 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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[](https://repogeo.com/en/r/iannuttall/mcp-boilerplate)<a href="https://repogeo.com/en/r/iannuttall/mcp-boilerplate"><img src="https://repogeo.com/badge/iannuttall/mcp-boilerplate.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
iannuttall/mcp-boilerplate — 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