Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
作者による説明(英語の原文)
Convert PDF, Word, Excel, PowerPoint, HTML, EPUB and URLs to Markdown; markitdown-mcp in Rust
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
作者はレジストリにインストール情報を載せていません。下にある作者のREADMEをご覧ください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント majiayu000 で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.2.1)がレジストリに届いたのは今日です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにRustも必要です。
同じカテゴリには:Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日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.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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,
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