Markitdown MCP Npx
M

Markitdown MCP Npx

An NPX wrapper tool for the MarkItDown MCP service without Docker, providing the same functions as the official Docker version and simplifying the installation process
2 points
6.0K

What is the MarkItDown MCP Server?

The MarkItDown MCP Server is a service that can convert various file formats (such as PDF, Word, Excel, images, etc.) into Markdown format. It is developed by Microsoft and is suitable for scenarios that require document content extraction and conversion.

How to use the MarkItDown MCP Server?

You can run the service directly through the command line without installing Docker. Simply use the npx tool provided by npm to quickly start the service and configure its behavior by specifying parameters.

Applicable Scenarios

Suitable for scenarios that require converting non - text files (such as PDF, images, audio) into Markdown format, such as document analysis, content extraction, and automated processing.

Main Features

Multi - format Support
Supports the conversion of multiple file formats, including PDF, Word, Excel, images, audio, etc.
No Docker Dependency
It can run without installing Docker, simplifying the deployment process.
Cross - platform Compatibility
It can run on Windows, macOS, and Linux.
Automatic Environment Management
Automatically creates a Python virtual environment and installs the required dependencies.
High Performance
Uses a caching mechanism to improve subsequent running speed.
Advantages
No Docker is required, simplifying the deployment process.
Supports the conversion of multiple file formats.
Good cross - platform compatibility.
Performance optimization with a caching mechanism.
Easy to debug and maintain.
Limitations
Requires a Python 3.10+ environment.
Some advanced features may require additional dependencies (such as FFmpeg).
The HTTP mode requires manual port configuration.
No authentication mechanism is provided.

How to Use

Install Node.js
Ensure that your system has Node.js 16 or a higher version installed.
Start the Service
Use the npx command to start the MarkItDown MCP Server.
Select the Running Mode
Select the STDIO mode or HTTP/SSE mode according to your needs.
Perform File Conversion
Perform file conversion by specifying the file path or URL.

Usage Examples

Document Analysis
Convert a PDF file to Markdown format for further analysis and processing.
Image OCR Processing
Perform OCR processing on an image file and convert it to Markdown format.
Audio Transcription
Transcribe an audio file and generate a Markdown format.

Frequently Asked Questions

Why does it prompt that Python is not found when starting?
How to solve the port occupation problem?
How to verify that the service is running normally?
Why can't some files be converted?

Related Resources

Official Documentation
The official documentation of the MarkItDown MCP Server.
GitHub Repository
The GitHub repository of this project, containing the source code and instructions.
NPM Package Page
The NPM package page of this project, providing installation and usage instructions.
Windows Setup Guide
A guide for installing dependencies on the Windows system.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "markitdown": {
      "command": "npx",
      "args": [
        "-y",
        "markitdown-mcp-npx"
      ]
    }
  }
}

{
  "mcpServers": {
    "markitdown": {
      "command": "npx",
      "args": [
        "-y",
        "markitdown-mcp-npx",
        "--http",
        "--host",
        "127.0.0.1",
        "--port",
        "3001"
      ]
    }
  }
}

{
  "mcpServers": {
    "markitdown": {
      "command": "markitdown-mcp-npx",
      "args": []
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
8.9K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
8.4K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.2K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
8.7K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
6.6K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
9.7K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
8.8K
4 points
U
Uniprof
Uniprof is a tool that simplifies CPU performance analysis. It supports multiple programming languages and runtimes, does not require code modification or additional dependencies, and can perform one-click performance profiling and hotspot analysis through Docker containers or the host mode.
TypeScript
7.3K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
22.0K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
62.9K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
31.4K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
18.1K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
27.1K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
58.2K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
85.2K
4.7 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
41.7K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase