RRepoGEO

REPOGEO REPORT · LITE

zcaceres/markdownify-mcp

Default branch main · commit 024f97ce · scanned 6/30/2026, 4:16:59 AM

GitHub: 2,766 stars · 231 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
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 zcaceres/markdownify-mcp, 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 to emphasize AI/API context

    Why:

    CURRENT
    Markdownify is a Model Context Protocol (MCP) server that converts various file types and web content to Markdown format. It provides a set of tools to transform PDFs, images, audio files, web pages, and more into easily readable and shareable Markdown text.
    COPY-PASTE FIX
    Markdownify is a Model Context Protocol (MCP) server designed to programmatically convert diverse content (PDFs, images, audio, web pages) into structured Markdown, specifically for use as AI context. It provides a robust API for transforming complex inputs into easily consumable text for large language models.
  • mediumhomepage#2
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://glama.ai/mcp/servers/bn5q4b0ett
  • mediumreadme#3
    Add a 'Why Markdownify?' section to the README

    Why:

    COPY-PASTE FIX
    ## Why Markdownify?
Unlike generic conversion tools, Markdownify is built specifically for the Model Context Protocol (MCP), providing a dedicated API for transforming diverse content into structured Markdown optimized for large language models. It offers a unified interface for handling PDFs, images, audio, and web content, streamlining the process of preparing data for AI applications.

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 zcaceres/markdownify-mcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
jgm/pandoc
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. jgm/pandoc · recommended 1×
  2. tesseract-ocr/tesseract · recommended 1×
  3. pdftoppm · recommended 1×
  4. ImageMagick/ImageMagick · recommended 1×
  5. Azure AI Document Intelligence · recommended 1×
  • CATEGORY QUERY
    How to convert PDFs, images, audio, and web content into structured markdown text?
    you: not recommended
    AI recommended (in order):
    1. Pandoc (jgm/pandoc)
    2. Tesseract OCR (tesseract-ocr/tesseract)
    3. pdftoppm
    4. ImageMagick (ImageMagick/ImageMagick)
    5. Azure AI Document Intelligence
    6. Form Recognizer
    7. Google Cloud Document AI
    8. AWS Textract
    9. Whisper (OpenAI) (openai/whisper)
    10. textract (deanmalmgren/textract)
    11. antiword
    12. pdftotext
    13. Readability.js (mozilla/readability)
    14. node-readability (luin/node-readability)
    15. Puppeteer (puppeteer/puppeteer)
    16. turndown (domchristie/turndown)
    17. Obsidian
    18. Logseq (logseq/logseq)

    AI recommended 18 alternatives but never named zcaceres/markdownify-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an API or service to programmatically convert diverse content into markdown for AI context.
    you: not recommended
    AI recommended (in order):
    1. Pandoc
    2. html2text
    3. turndown
    4. Apache Tika
    5. Unstructured.io
    6. Readability.js
    7. python-readability

    AI recommended 7 alternatives but never named zcaceres/markdownify-mcp. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • 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 zcaceres/markdownify-mcp?
    pass
    AI did not name zcaceres/markdownify-mcp — 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 zcaceres/markdownify-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name zcaceres/markdownify-mcp — 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?

  • In one sentence, what problem does the repo zcaceres/markdownify-mcp solve, and who is the primary audience?
    pass
    AI named zcaceres/markdownify-mcp explicitly

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

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zcaceres/markdownify-mcp — 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