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.
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
localhostby 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.
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
STDIOas the transport type, - input
markitdown-mcpas the command, and - click
Connect
If using Streamable HTTP:
- select
Streamable HTTPas the transport type, - input
http://127.0.0.1:3001/mcpas the URL, and - click
Connect
If using SSE:
- select
SSEas the transport type, - input
http://127.0.0.1:3001/sseas the URL, and - click
Connect
Finally:
- click the
Toolstab, - 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
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。
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。
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。
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。
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。
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。
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。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
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。