RRepoGEO

REPOGEO REPORT · LITE

modelcontextprotocol/ext-apps

Default branch main · commit 9a37ad71 · scanned 5/23/2026, 2:41:17 AM

GitHub: 2,298 stars · 287 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)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
27 /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
1 / 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 modelcontextprotocol/ext-apps, 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 README's opening to emphasize 'protocol' and 'SDK' for LLM UIs

    Why:

    CURRENT
    Build interactive UIs for MCP tools — charts, forms, dashboards — that render inline in Claude, ChatGPT and any other compliant chat client.
    COPY-PASTE FIX
    This is the official repository for the **Model Context Protocol (MCP) Apps protocol and SDK**, a standard for building interactive UIs (charts, forms, dashboards) that render inline in Claude, ChatGPT, and any other compliant chat client.
  • mediumtopics#2
    Add more specific topics to improve category matching

    Why:

    CURRENT
    ai, apps, mcp, mcp-apps, modelcontextprotocol, ui
    COPY-PASTE FIX
    ai, apps, mcp, mcp-apps, modelcontextprotocol, ui, llm-ui, chatbot-extensions, agent-tools, protocol, sdk
  • lowlicense#3
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    ## License
    This project is licensed under the terms found in the [LICENSE](LICENSE) file, which outlines the specific conditions for use and distribution.

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 modelcontextprotocol/ext-apps
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Dialogflow Messenger
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Dialogflow Messenger · recommended 1×
  2. Facebook Messenger Platform · recommended 1×
  3. Slack API (Block Kit) · recommended 1×
  4. Microsoft Bot Framework (Adaptive Cards) · recommended 1×
  5. React · recommended 1×
  • CATEGORY QUERY
    How can I integrate interactive UI components like charts and forms directly within AI chatbot interfaces?
    you: not recommended
    AI recommended (in order):
    1. Google Dialogflow Messenger
    2. Facebook Messenger Platform
    3. Slack API (Block Kit)
    4. Microsoft Bot Framework (Adaptive Cards)
    5. React
    6. Chart.js
    7. Recharts
    8. Nivo
    9. Vue.js
    10. ApexCharts
    11. ECharts
    12. Botpress
    13. Rasa
    14. Angular
    15. D3.js

    AI recommended 15 alternatives but never named modelcontextprotocol/ext-apps. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a protocol or SDK to develop rich, interactive extensions for large language model UIs.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Plugin Protocol
    2. LangChain Agents & Tools
    3. LlamaIndex Tools
    4. Microsoft Semantic Kernel
    5. Hugging Face Transformers Agents
    6. Custom RESTful API with LLM Function Calling
    7. Google Gemini API

    AI recommended 7 alternatives but never named modelcontextprotocol/ext-apps. 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 modelcontextprotocol/ext-apps?
    pass
    AI did not name modelcontextprotocol/ext-apps — 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/ext-apps in production, what risks or prerequisites should they evaluate first?
    pass
    AI named modelcontextprotocol/ext-apps 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/ext-apps solve, and who is the primary audience?
    pass
    AI did not name modelcontextprotocol/ext-apps — 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?

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modelcontextprotocol/ext-apps — 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