RRepoGEO

REPOGEO REPORT · LITE

MiguelsPizza/WebMCP

Default branch main · commit 1143b218 · scanned 6/25/2026, 11:21:53 AM

GitHub: 1,071 stars · 77 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
40 /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
3 / 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 MiguelsPizza/WebMCP, 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    Reposition and clarify the repository's status as a historical reference in the README

    Why:

    CURRENT
    > [!IMPORTANT]
> 🚨 The WebMCP API has been accepted as a W3C deliverable...
> [!IMPORTANT]
> 📝 Repository Status: The MCP-B extension is no longer open source...
# WebMCP:
    COPY-PASTE FIX
    # WebMCP (Historical Reference)

> [!IMPORTANT]
> 🚨 This repository represents an older version of the WebMCP codebase and is maintained for historical reference only. The WebMCP API has been accepted as a W3C deliverable and is transitioning to official web standard development. All active community work and open-source content (transports, etc.) have moved to the official WebMCP explainer repository and the WebMCP Github Org. Please join us there! 🚨

This repository documents WebMCP, a protocol designed to expose browser JavaScript functions to Large Language Models (LLMs) as MCP tools.
  • mediumabout#2
    Update the repository description to reflect WebMCP's core functionality

    Why:

    CURRENT
    Bringing the power of MCP to the web
    COPY-PASTE FIX
    Historical reference for WebMCP: a protocol exposing browser JavaScript functions to LLMs as tools.
  • lowlicense#3
    Add a clear statement about the repository's license(s) to the README

    Why:

    COPY-PASTE FIX
    Add a section to the README, e.g., '## License\nThis repository's content is licensed under [specify the exact license(s) here, referencing the LICENSE file for full terms].'

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 MiguelsPizza/WebMCP
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
expressjs/express
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. expressjs/express · recommended 2×
  2. langchain-ai/langchainjs · recommended 1×
  3. OpenAI Function Calling · recommended 1×
  4. Anthropic Tools · recommended 1×
  5. puppeteer/puppeteer · recommended 1×
  • CATEGORY QUERY
    How can I enable large language models to interact with browser JavaScript functions?
    you: not recommended
    AI recommended (in order):
    1. LangChain.js (langchain-ai/langchainjs)
    2. OpenAI Function Calling
    3. Anthropic Tools
    4. Puppeteer (puppeteer/puppeteer)
    5. Playwright (microsoft/playwright)
    6. Custom API Gateway
    7. Express.js (expressjs/express)
    8. LLaMAIndex (run-llama/llama_index)

    AI recommended 8 alternatives but never named MiguelsPizza/WebMCP. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best ways to integrate AI models with web application frontend capabilities?
    you: not recommended
    AI recommended (in order):
    1. React
    2. Vue.js
    3. Angular
    4. FastAPI (tiangolo/fastapi)
    5. Node.js
    6. Express.js (expressjs/express)
    7. Flask (pallets/flask)
    8. Socket.IO (socketio/socket.io)
    9. WebSockets API
    10. Starlette (encode/starlette)
    11. TensorFlow.js (tensorflow/tfjs)
    12. ONNX Runtime Web (microsoft/onnxruntime)
    13. MediaPipe (google/mediapipe)
    14. Google Cloud AI Platform
    15. Vertex AI
    16. AWS AI Services
    17. Amazon Rekognition
    18. Amazon Comprehend
    19. Amazon SageMaker
    20. Azure AI Services
    21. Azure Cognitive Services
    22. Azure Machine Learning
    23. GraphQL
    24. Apollo Client (apollographql/apollo-client)
    25. Apollo Server (apollographql/apollo-server)
    26. Graphene (graphql-python/graphene)

    AI recommended 26 alternatives but never named MiguelsPizza/WebMCP. 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 MiguelsPizza/WebMCP?
    pass
    AI named MiguelsPizza/WebMCP explicitly

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

  • If a team adopts MiguelsPizza/WebMCP in production, what risks or prerequisites should they evaluate first?
    pass
    AI named MiguelsPizza/WebMCP 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 MiguelsPizza/WebMCP solve, and who is the primary audience?
    pass
    AI named MiguelsPizza/WebMCP 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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MARKDOWN (README)
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HTML
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MiguelsPizza/WebMCP — 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