markitdown-mcp

markitdown-mcp

MCP server that exposes MarkItDown's document-to-markdown conversion as a single convert_to_markdown tool, supporting HTTP, HTTPS, file, and data URIs via STDIO, Streamable HTTP, and SSE transports.

Category
访问服务器

README

MarkItDown-MCP

[!IMPORTANT] The MarkItDown-MCP package is meant for local use, with local trusted agents. In particular, when running the MCP server with Streamable HTTP or SSE, it binds to localhost by default, and is not exposed to other machines on the network or Internet. In this configuration, it is meant to be a direct alternative to the STDIO transport, which may be more convenient in some cases. DO NOT bind the server to other interfaces unless you understand the security implications of doing so.

PyPI PyPI - Downloads Built by AutoGen Team

The markitdown-mcp package provides a lightweight STDIO, Streamable HTTP, and SSE MCP server for calling MarkItDown.

It exposes one tool: convert_to_markdown(uri), where uri can be any http:, https:, file:, or data: URI.

Installation

To install the package, use pip:

pip install markitdown-mcp

Usage

To run the MCP server, using STDIO (default), use the following command:

markitdown-mcp

To run the MCP server, using Streamable HTTP and SSE, use the following command:

markitdown-mcp --http --host 127.0.0.1 --port 3001

Running in Docker

To run markitdown-mcp in Docker, build the Docker image using the provided Dockerfile:

docker build -t markitdown-mcp:latest .

And run it using:

docker run -it --rm markitdown-mcp:latest

This will be sufficient for remote URIs. To access local files, you need to mount the local directory into the container. For example, if you want to access files in /home/user/data, you can run:

docker run -it --rm -v /home/user/data:/workdir markitdown-mcp:latest

Once mounted, all files under data will be accessible under /workdir in the container. For example, if you have a file example.txt in /home/user/data, it will be accessible in the container at /workdir/example.txt.

Accessing from Claude Desktop

It is recommended to use the Docker image when running the MCP server for Claude Desktop.

Follow these instructions to access Claude's claude_desktop_config.json file.

Edit it to include the following JSON entry:

{
  "mcpServers": {
    "markitdown": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "markitdown-mcp:latest"
      ]
    }
  }
}

If you want to mount a directory, adjust it accordingly:

{
  "mcpServers": {
    "markitdown": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-v",
        "/home/user/data:/workdir",
        "markitdown-mcp:latest"
      ]
    }
  }
}

Debugging

To debug the MCP server you can use the MCP Inspector tool.

npx @modelcontextprotocol/inspector

You can then connect to the inspector through the specified host and port (e.g., http://localhost:5173/).

If using STDIO:

  • select STDIO as the transport type,
  • input markitdown-mcp as the command, and
  • click Connect

If using Streamable HTTP:

  • select Streamable HTTP as the transport type,
  • input http://127.0.0.1:3001/mcp as the URL, and
  • click Connect

If using SSE:

  • select SSE as the transport type,
  • input http://127.0.0.1:3001/sse as the URL, and
  • click Connect

Finally:

  • click the Tools tab,
  • click List Tools,
  • click convert_to_markdown, and
  • run the tool on any valid URI.

Security Considerations

The server does not support authentication, and runs with the privileges of the user running it. For this reason, when running in SSE or Streamable HTTP mode, the server binds by default to localhost. Even still, it is important to recognize that the server can be accessed by any process or users on the same local machine, and that the convert_to_markdown tool can be used to read any file that the server's user has access to, or any data from the network. If you require additional security, consider running the server in a sandboxed environment, such as a virtual machine or container, and ensure that the user permissions are properly configured to limit access to sensitive files and network segments. Above all, DO NOT bind the server to other interfaces (non-localhost) unless you understand the security implications of doing so.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选