# Markdownify MCP Server

> Use this tool when you need to convert diverse file types and web content into Markdown format for easier model consumption. It solves problems of incompatible file formats and web content readability, accepting various file types and web content as inputs and producing readable Markdown text as output. Ideal for use cases requiring standardized text formatting, such as data preprocessing and model training.

Canonical page: https://skillsregistry.net/skills/anis-marrouchi-markdownify-mcp-http-server  
JSON: https://api.skillsregistry.net/v1/skills/anis-marrouchi-markdownify-mcp-http-server

## Description

A Model Context Protocol server that converts diverse file types, including PDFs, images, audio, and Office documents, into Markdown format. It also transforms web content like YouTube transcripts and Bing search results into readable text for model consumption.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uu04pbv81j)
- **Repository:** <https://github.com/anis-marrouchi/markdownify-mcp-http-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "anis-marrouchi-markdownify-mcp-http-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anis-marrouchi-markdownify-mcp-http-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anis-marrouchi-markdownify-mcp-http-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
