REPOGEO REPORT · LITE

zcaceres/markdownify-mcp

Default branch main · commit 024f97ce · scanned 5/18/2026, 9:22:11 PM

GitHub: 2,686 stars · 224 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 the README opening paragraph to emphasize 'server' and 'protocol'

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 dedicated Model Context Protocol (MCP) server designed to standardize and simplify content ingestion by converting diverse file types and web content into clean Markdown. It acts as a central service for applications needing robust, multi-format content transformation, from PDFs and images to audio and web pages, all delivered via the MCP standard.

highhomepage#2
Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
https://glama.ai/mcp/servers/bn5q4b0ett
```

mediumtopics#3

Refine topics to explicitly include 'server', 'api', and 'multimedia-processing'

Why:

CURRENT

ai, anthropic, anthropic-ai, anthropic-claude, markdown, mcp, model-context-protocol, ocr, tools

COPY-PASTE FIX

ai, anthropic, anthropic-ai, anthropic-claude, markdown, mcp, model-context-protocol, ocr, tools, server, api, content-conversion, multimedia-processing

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

Of all named tools, what % are you?

Top rival

Pandoc

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Pandoc · recommended 2×
mammoth.js · recommended 2×
html2text · recommended 1×
turndown · recommended 1×
readability-js · recommended 1×

CATEGORY QUERY
Need a tool to convert different document types and web content into clean markdown text.
you: not recommended
AI recommended (in order):
1. Pandoc
2. html2text
3. turndown
4. readability-js
5. mammoth.js
6. unoconv
AI recommended 6 alternatives but never named zcaceres/markdownify-mcp. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are good options for a server to convert multimedia and various files to markdown?
you: not recommended
AI recommended (in order):
1. Pandoc
2. Apache Tika
3. mammoth.js
4. unstructured
5. textract
6. Cloudmersive Document and Data Conversion API
7. Aspose.Words / Aspose.Cells / Aspose.PDF
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 named zcaceres/markdownify-mcp 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 zcaceres/markdownify-mcp solve, and who is the primary audience?
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?

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MARKDOWN (README)

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HTML

<a href="https://repogeo.com/en/r/zcaceres/markdownify-mcp"><img src="https://repogeo.com/badge/zcaceres/markdownify-mcp.svg" alt="RepoGEO" /></a>

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Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite