Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
作者提供的说明(英文原文)
Convert PDF, Word, Excel, PowerPoint, HTML, EPUB and URLs to Markdown; markitdown-mcp in Rust
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
作者没有在注册中心列出安装信息。请查看下方作者的 README。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 majiayu000 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.2.1)于今天进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Rust。
同一分类中有:Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Agent-Native Google Calendar - manage events, sync, and public booking
Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
markitdown-rs converts PDF, Word, PowerPoint, Excel, HTML, EPUB, Outlook and web pages to Markdown for LLMs and RAG pipelines. It is Microsoft's markitdown CLI rewritten in Rust as one 4.5 MB binary: the same command and the same Markdown, byte for byte, without a Python environment. From the command line it is usually hundreds of times faster (median 408× over 231 real-world files, about 15× on the largest PDFs and spreadsheets); in process, 4–50× faster.
brew install majiayu000/tap/markitdown-rs # or: cargo install markitdown-rs
markitdown report.pdf > report.md
Prebuilt binaries for macOS (Apple silicon and Intel) and Linux x86_64 are on the releases page. It also runs as an MCP server for AI agents (markitdown mcp, stdio or HTTP) and has a Python module with markitdown's API, plugins included.
A PDF form becomes a Markdown table, exactly as markitdown renders it (tests/fixtures/pdf/gen-form-mixed.pdf):
$ markitdown order.pdf
Purchase order summary
| Item | Qty | Unit price | Total |
|---|---|---|---|
| Widget 1 | 1 | 1.50 | 1.50 |
| Widget 2 | 2 | 3.00 | 6.00 |
| Widget 3 | 3 | 4.50 | 13.50 |
... Thank you for your order.
URLs work too, with markitdown's Wikipedia and YouTube handling:
$ markitdown https://en.wikipedia.org/wiki/Markdown | head -3
Plain text markup language
| markitdown-rs | microsoft/markitdown | markitdown (crates.io) | xberg | |
|---|---|---|---|---|
| Output identical to markitdown | 401 of 406 test files | reference | 35 of 405 | not a goal |
| Install | one binary | Python + pip (328 MB venv) | cargo install | pip / cargo / npm / ... |
| Speed (CLI) | median 408× markitdown (15–1,660×) | 1× | – | – |
| Formats | markitdown's formats + URLs; OCR/LLM plugins and Azure in the Python module | all + OCR/LLM plugins, Azure | 9 | 107, OCR, layout models |
| MCP server / Python API | markitdown mcp (stdio, HTTP) / from markitdown import MarkItDown | markitdown-mcp / yes | no / no | yes / yes |
Full feature-by-feature table, with how each number was measured: markitdown vs markitdown-rs.
markitdown is the de facto "documents to Markdown for LLMs" tool, but using it from a shell, CI job or non-Python service means shipping a Python environment with mammoth, pdfminer.six, pdfplumber, pandas, openpyxl, BeautifulSoup, python-pptx, magika and onnxruntime. Its most requested features include brew and binary installs (#1179, #25) and lighter dependencies (#1234).
markitdown-rs targets output compatibility. It does not try to produce "better" Markdown: it reproduces markitdown's output, quirks included (pipes in table cells, Heading 7–9 as plain text, pdfminer's (cid:N) placeholders, pandas' NaN cells), so you can swap the binary without changing anything downstream.
Every fixture is converted by both implementations and compared byte for byte in cargo test against Python markitdown 0.1.9 (see Parity testing): 408 files, the 6,705 inputs of the html5lib tokenizer suite through the HTML converter, and 13 pages converted as if fetched from Wikipedia, Bing and YouTube URLs.
| Format | Fixtures | Identical to Python |
|---|---|---|
Word .docx | 71 | 69 of 70; 1 known difference; 1 file Python cannot convert |
PowerPoint .pptx | 44 | 44 |
| 67 | 67 | |
Excel .xlsx | 50 | 49; 1 file Python cannot convert |
Excel .xls (Excel 3/4 and 97–2003) | 44 | 44 |
Outlook .msg | 38 | 35; 3 known differences |
| HTML (and Wikipedia, Bing, YouTube pages) | 36 + 6,705 + 13 | all |
| EPUB | 6 | 6 |
| ZIP (contents converted recursively) | 3 | 3 |
| RSS / Atom | 12 | 12 |
| CSV | 11 | 11 |
Jupyter .ipynb | 4 | 4 |
| Plain text, Markdown, JSON, XML | 15 | 14; 1 known difference |
| Images, audio (metadata via exiftool) | 7 | 7 |
Sources are files and stdin as in markitdown, plus http:// / https:// URLs (with markitdown's Accept header and stream detection from the response), file: and data: URIs.
What each converter covers:
cmaps and the predefined CJK CMaps, form XObjects, pdfminer's layout analysis, and markitdown's borderless-table detection on pdfplumber word positions.read_excel (openpyxl/xlrd value conversion, dtype inference, to_html), one table per sheet.html.parser, BeautifulSoup's tree builder and markdownify with markitdown's overrides; Wikipedia, Bing and YouTube pages get their dedicated converters when the source URL says so.### Transcript), fetched the way markitdown's optional youtube-transcript-api does.Known differences:
id(), a CPython memory address. markitdown-rs uses creation order instead. Of 313 PDFs tried (all of DP-Bench, arXiv papers, a 10-K, CJK manuals, other projects' test files) 308 are identical, one polyglot file is rejected by both, and 4 differ only in where a tied box lands (they match a pdfminer patched to use creation order).tests/known-diffs.txt).mammoth/style-map part) are ignored by the Rust converter; the Python module applies them when given a style_map (see Python).python-requests User-Agent with HTTP 403; markitdown-rs sends its own and gets the page.The command line does not do what markitdown leaves to optional Python packages or cloud services: audio transcription (markitdown's speech_recognition calls Google's unofficial speech API with a key built into that library, and needs ffmpeg), LLM image captions, Azure Document Intelligence / Content Understanding (-d, --use-cu) and plugins (-p). The Python module does all of these, and its own markitdown command has the original's full set of flags. Like markitdown, legacy .doc and .ppt files are not converted.
With Homebrew (macOS, Linux x86_64):
brew install majiayu000/tap/markitdown-rs
From crates.io (Rust 1.88+):
cargo install markitdown-rs
Prebuilt binaries for macOS (arm64, x86_64) and Linux (x86_64) are attached to each release, with SHA-256 sums:
curl -L https://github.com/majiayu000/markitdown-rs/releases/download/v0.2.1/markitdown-v0.2.1-aarch64-apple-darwin.tar.gz | tar xz
./markitdown-v0.2.1-aarch64-apple-darwin/markitdown --version
From a checkout: cargo install --path crates/markitdown-rs. All of these install a binary named markitdown. The PyPI package is also available: python -m pip install "markitdown-rs[mcp]" in a fresh Python 3.10+ environment.
The flags mirror the Python CLI:
markitdown [filename] [-o OUTPUT] [-x EXTENSION] [-m MIME_TYPE] [-c CHARSET] [--keep-data-uris]
markitdown report.pdf # Markdown on stdout
markitdown book.xlsx -o book.md # write to a file (no trailing newline, like Python) markitdown https://example.com/a.docx # fetch a URL cat report.docx | markitdown -x docx # stdin, with an extension hint markitdown --keep-data-uris report.docx # keep images as full base64 data URIs
As in markitdown, the format comes from the hints (extension, MIME type, charset) and from the file contents, and converters are tried in markitdown's order until one succeeds.
Limits that markitdown does not have, so that hostile files fail cleanly instead of exhausting memory or hanging (environment variables, also Options fields in the library):
| Variable | Default | |
|---|---|---|
MARKITDOWN_MAX_UNZIPPED_BYTES | 1 GiB | decompressed bytes per conversion (ZIP archives, Office packages, PDF streams), and the size of an HTTP response |
MARKITDOWN_MAX_ZIP_DEPTH | 10 | ZIP archives nested in ZIP archives |
MARKITDOWN_HTTP_TIMEOUT | 120 | seconds per HTTP request (30 to connect); 0 waits forever |
As a library (markitdown-core; URL loading is the optional fetch feature):
use markitdown_core::{StreamInfo, convert};
let data = std::fs::read("report.pdf")?; let md = convert(&data, &StreamInfo::from_path("report.pdf"), &Default::default())?;
markitdown mcp serves the Model Context Protocol on stdio with the same tool as microsoft/markitdown-mcp: convert_to_markdown(uri) for http:, https:, file: and data: URIs (local paths work too). Logs go to stderr, so stdout carries only JSON-RPC.
Claude Code:
claude mcp add markitdown -- markitdown mcp
Claude Desktop (claude_desktop_config.json) and Cursor (~/.cursor/mcp.json, or .cursor/mcp.json in a project) use the same block:
{
"mcpServers": { "markitdown": { "command": "markitdown", "args": ["mcp"] } } }
Desktop apps may not see your shell's PATH; if the server does not start, use the full path from which markitdown (e.g. ~/.cargo/bin/markitdown) as command.
Tool name, input and output schemas,
只显示了开头部分;其余内容请在仓库中阅读