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The markdownify-mcp MCP server was last committed 1mo ago and has 9 contributors. Issue health: 48% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

markdownify-mcp MCP Server

Name: zcaceres/markdownify-mcp
Rating: 4.0 (1 reviews)
Author: zcaceres

zcaceres/markdownify-mcp

Score: 75.1 ↓ 12.1% Rank #3101 MCP Server

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A Model Context Protocol server for converting almost anything to Markdown

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Overview

zcaceres/markdownify-mcp is a TypeScript MCP server licensed under MIT. A Model Context Protocol server for converting almost anything to Markdown Topics: ai, anthropic, anthropic-ai, anthropic-claude, markdown, mcp, model-context-protocol, ocr, tools.

Ranked #3101 out of 24846 indexed tools.

Has 2,999 GitHub stars.

Ecosystem

TypeScript MIT 10 tool calls

aianthropicanthropic-aianthropic-claudemarkdownmcpmodel-context-protocolocrtools

Score Breakdown

Stars 15% 2,999

2,999 stars → well-known project

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 48%

28/58 issues closed → many open issues

Contributors 10% 9

9 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 254

Description Good

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Freshness high impact

Last commit was 33 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 30 open vs 28 closed issues — triaging stale issues improves health

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Markdown

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HTML

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HTML

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Details

Stars: 2,999
Forks: 254
Open Issues: 30
Closed Issues: 28
Contributors: 9
Dependents: —
Language: TypeScript
License: MIT
Last Commit: 1mo ago

Matched Queries

"model context protocol""model-context-protocol"topic:mcptopic:model-context-protocol

From the README

# Markdownify MCP Server

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.

<a href="https://glama.ai/mcp/servers/bn5q4b0ett"></a>

## Features

- Convert multiple file types to Markdown:
  - PDF
  - Images
  - Audio (with transcription)
  - DOCX
  - XLSX
  - PPTX
- Convert web content to Markdown:
  - YouTube video transcripts
  - Bing search results
  - General web pages
- Retrieve existing Markdown files

## Getting Started

1. Clone this repository
2. Install dependencies:
   ```
   bun install
   ```

   The `preinstall` step creates a Python virtual environment at `.venv` and installs `markitdown[all]`.

3. Build the project:
   ```
   bun run build
   ```
4. Start the server:
   ```
   bun start
   ```

## Development

- Use `bun run dev` to start the TypeScript compiler i

Read full README on GitHub →