REPOGEO REPORT · LITE
iannuttall/mcp-boilerplate
Default branch main · commit e248a9fd · scanned 6/20/2026, 8:43:15 PM
GitHub: 1,022 stars · 194 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.
2 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 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 to prevent Minecraft miscategorization
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# AI Assistant Backend Boilerplate (MCP): Cloudflare, Auth, Payments This project provides a boilerplate for building a remote server for AI assistants (using a custom protocol, or MCP) on Cloudflare, complete with user authentication and Stripe for monetized tools.
- hightopics#2Add relevant topics to improve AI categorization
Why:
COPY-PASTE FIXai-assistants, cloudflare-workers, serverless, boilerplate, user-authentication, stripe, monetization, custom-protocol
- mediumhomepage#3Add a homepage URL to the repository
Why:
COPY-PASTE FIX[Insert URL to a live demo, documentation, or project page 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.
- Supabase · recommended 3×
- Firebase · recommended 2×
- Stripe · recommended 2×
- Vercel · recommended 2×
- Auth0 · recommended 2×
- CATEGORY QUERYHow can I quickly set up a custom AI assistant backend with user login and payment features?you: not recommendedAI recommended (in order):
- Firebase
- Stripe
- OpenAI API
- Anthropic
- Supabase
- Vercel
- Next.js (vercel/next.js)
- Auth0
- Clerk (clerk/clerk)
- NextAuth.js (nextauthjs/next-auth)
- PlanetScale
- Neon
- MongoDB Atlas
- AWS Amplify (aws-amplify/amplify-js)
- Passport.js (jaredhanson/passport)
- Flask-Login (maxcountryman/flask-login)
- Heroku
- Render
AI recommended 18 alternatives but never named iannuttall/mcp-boilerplate. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat is the best way to deploy a serverless platform for monetized AI tools with user accounts?you: not recommendedAI recommended (in order):
- AWS Amplify
- AWS Lambda
- Amazon DynamoDB
- Amazon API Gateway
- Amazon Cognito
- Stripe
- PayPal
- Google Cloud Platform (GCP)
- Firebase
- Firebase Authentication
- Firestore
- Google Cloud Functions
- Cloud Endpoints
- Vercel
- Next.js
- PlanetScale
- Supabase
- PostgreSQL
- Auth.js
- Netlify
- Netlify Functions
- Netlify Identity
- FaunaDB
- Supabase
- Microsoft Azure Functions
- Azure Cosmos DB
- Azure API Management
- Azure Active Directory B2C
- Cloudflare Workers
- Cloudflare Workers KV
- Durable Objects
- Auth0
- Clerk
AI recommended 33 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
Drop this badge into the README of iannuttall/mcp-boilerplate. 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/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