RRepoGEO

REPOGEO REPORT · LITE

MiguelsPizza/WebMCP

Default branch main · commit 1143b218 · scanned 5/14/2026, 9:32:43 PM

GitHub: 1,059 stars · 76 forks

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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition and clarify the project's purpose and current status at the top of the README

    Why:

    CURRENT
    > [!IMPORTANT]
> 🚨 The WebMCP API has been accepted as a W3C deliverable and is transitioning to official web standard development. The community and all related work has moved to the WebMCP explainer repository. Please join us there! 🚨

> [!IMPORTANT]
> 📝 Repository Status: The MCP-B extension is no longer open source. This repository represents an older version of the codebase and is maintained for historical reference only. All open source content (transports, etc.) have been ported to the WebMCP Github Org.

# WebMCP:
    COPY-PASTE FIX
    WebMCP is a foundational web protocol designed to expose browser JavaScript functions as tools for Large Language Models (LLMs). This repository serves as a historical reference for an older codebase. The WebMCP API is now a W3C deliverable, with active development and community engagement moved to the official WebMCP explainer repository and the WebMCP GitHub Organization.
  • hightopics#2
    Expand topics to accurately reflect LLM tool integration and web protocols

    Why:

    CURRENT
    ai, mcp, typescript
    COPY-PASTE FIX
    ai, mcp, typescript, llm-tools, browser-api, web-protocol, w3c-standard, javascript-functions, large-language-models

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
langchain-ai/langchainjs
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchainjs · recommended 1×
  2. OpenAI Function Calling · recommended 1×
  3. Google Gemini API · recommended 1×
  4. run-llama/LlamaIndexTS · recommended 1×
  5. WebDriver (W3C WebDriver) · recommended 1×
  • CATEGORY QUERY
    How to enable large language models to use browser JavaScript functions as tools?
    you: not recommended
    AI recommended (in order):
    1. LangChain.js (langchain-ai/langchainjs)
    2. OpenAI Function Calling
    3. Google Gemini API
    4. LlamaIndex.TS (run-llama/LlamaIndexTS)

    AI recommended 4 alternatives but never named MiguelsPizza/WebMCP. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a web protocol for exposing browser capabilities to AI agents.
    you: not recommended
    AI recommended (in order):
    1. WebDriver (W3C WebDriver)
    2. Chrome DevTools Protocol (CDP)
    3. Playwright
    4. Puppeteer
    5. Selenium WebDriver

    AI recommended 5 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

Drop this badge into the README of MiguelsPizza/WebMCP. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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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