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Markitdown logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 6:35:15 PM

Markitdown

User RatingsBe the first to rate and review this MCP server!
View Repository182.1k GitHub StarsTotal stargazers on GitHub for the source repository (182,147 stars).Visit Website
document-conversionmarkdownfile-processingllm-tools

Converts local or remote resources from common file formats into Markdown through one MCP tool.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

This server is confirmed live โ€” we successfully called its tools/list endpoint directly (see the verified badge above). We haven't yet sandbox-tested the stdio install command below specifically, which is a separate, ongoing check.

Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "microsoft-markitdown": {
      "command": "uvx",
      "args": [
        "markitdown-ocr"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (1) Directory Badge Claim listing Alternatives๐Ÿ“‚ More in File Systems

Overview

The microsoft/markitdown MCP server exposes MarkItDown's document conversion capability to MCP clients. Its `convert_to_markdown` tool accepts `http:`, `https:`, `file:`, or `data:` URIs and returns Markdown. MarkItDown supports formats including PDF, Word, PowerPoint, Excel, images, audio, HTML, CSV, JSON, XML, ZIP files, YouTube URLs, and EPUBs. Reach for it when an agent needs file or web content normalized into Markdown for text analysis or LLM workflows.

Use cases

โ€ขConvert PDFs into Markdown for LLM pipelines
โ€ขExtract document structure from office files
โ€ขNormalize remote resources for text analysis
โ€ขProcess archives into Markdown content

Key features

โ€ขConverts URI-addressable resources to Markdown
โ€ขSupports common office and document formats
โ€ขHandles local, remote, and data URIs
โ€ขPreserves headings, lists, tables, and links
โ€ขSupports optional OCR and transcription features

Capabilities & Tool Schemas (1) ~57 tokensApproximate context cost of this serverโ€™s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Verified live Verified liveCaptured by calling this serverโ€™s live tools/list endpoint.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Markitdown.

convert_to_markdown

Convert a resource described by an http:, https:, file: or data: URI to markdown

How Markitdown works

What microsoft/markitdown MCP server does

The microsoft/markitdown MCP server makes MarkItDown's conversion library available through MCP. It is intended to turn source resources into Markdown that downstream language-model and text-analysis workflows can consume. The conversion aims to retain useful structure such as headings, lists, tables, links, and document content, rather than producing only unstructured text.

Supported inputs include PDFs, Word and PowerPoint documents, Excel workbooks, images, audio, HTML, CSV, JSON, XML, ZIP archives, EPUBs, and YouTube URLs. The underlying library also supports additional formats and optional conversion features.

How it works

The server exposes a single MCP tool, convert_to_markdown. Pass a resource identified by an http:, https:, file:, or data: URI. The server gives that resource to MarkItDown and returns the resulting Markdown representation.

Local files use the access rights of the process running the server. Remote resources are fetched with the same process-level access model. This makes the server suitable for agents that need to ingest documents without implementing separate parsers for each format, but callers should validate or restrict URI inputs when handling untrusted data.

Tools and capabilities

convert_to_markdown is the documented MCP operation. It can provide Markdown conversion for:

  • PDF, Word, PowerPoint, and Excel files
  • Images, including EXIF metadata and OCR-related support
  • Audio, including metadata and speech transcription where the relevant optional dependencies are installed
  • HTML and text-oriented formats such as CSV, JSON, and XML
  • ZIP archives by iterating through their contents
  • YouTube URLs and EPUB files

MarkItDown can also use optional dependencies for specific formats. Its broader package supports plugins, Azure Document Intelligence, Azure Content Understanding, audio transcription, and YouTube transcription, but availability depends on the corresponding installation and configuration.

Limitations and notes

The output is optimized for machine consumption and text analysis, not necessarily for pixel-accurate or presentation-quality document reproduction. Complex layouts, embedded content, OCR, transcription, and cloud-backed conversion may require additional optional dependencies or services.

The microsoft/markitdown MCP server inherits the I/O behavior of the underlying process. A URI can reach anything that process can access, so an untrusted caller may be able to request local or network resources unless inputs are sanitized and access is constrained. Use the narrowest conversion path available when integrating MarkItDown directly, such as stream- or local-file-specific functions; the MCP interface documented here accepts resource URIs.

The README requires Python 3.10 or newer for MarkItDown and recommends an isolated environment. It documents installing the core package with pip install 'markitdown[all]', or selecting format-specific extras such as pdf, docx, or pptx. The provided material does not specify a separate command for launching the MCP server or identify particular MCP desktop clients.

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
182k
Stargazers on the source repository.
Tools exposed
1
Callable tools this server registers over MCP.
Directory activity
4 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Markitdown

The provided material documents installing the underlying MarkItDown package with `pip install 'markitdown[all]'`, but it does not provide a separate MCP server launch command.

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Technical Specs & Signals

Category๐Ÿ“‚File Systems
PricingFree
More technical detailsExpand โ–พ
TransportSTDIO
RuntimePython
AuthNo auth required
Last updatedSep 3, 2026
Views4
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars182,147
GitHub Star CountTotal stargazers on GitHub representing community popularity (182,147 stars).
63Quality signal: Good ยท 63/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools29/30
Adoption & activity7/15
Community engagement1/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 17d ago via OSV.dev ยท markitdown-ocr (PyPI)

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