zcaceres/markdownify-mcp

Score: 64.6 Rank #36

A Model Context Protocol server for converting almost anything to Markdown

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 #36 out of 25632 indexed tools.

In the top 1% of all indexed tools.

Has 2,449 GitHub stars.

Actively maintained with commits in the last week.

Ecosystem

TypeScript MIT

aianthropicanthropic-aianthropic-claudemarkdownmcpmodel-context-protocolocrtools

Signal Breakdown

Stars 2,449

Freshness 6d ago

Issue Health 100%

Contributors 9

Dependents 0

Forks 202

Description Good

License MIT

How to Improve

Description low impact

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Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge

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Details

Stars: 2,449
Forks: 202
Open Issues: 0
Closed Issues: 25
Contributors: 9
Dependents: —
Language: TypeScript
License: MIT
Last Commit: 6d ago

Matched Queries

"model context protocol""model-context-protocol"

From the README

# Markdownify MCP Server

> Help! I need someone with a Windows computer to help me add support for Markdownify-MCP on Windows. PRs exist but I cannot test them. Post [here](https://github.com/zcaceres/markdownify-mcp/issues/18) if interested.

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:
   ```
   pnpm install
   ```

Note: this will also install `uv` and related Python depde

Read full README on GitHub →

View on GitHub →

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