anymd

Name: anymd
Author: SylphxAI

by SylphxAIversion 8.5.11i★ –iRuns on your computer

Registry nameio.github.SylphxAI/anymd

Install

Overview

Description from the maker (original English)

Any file → clean Markdown for AI agents: PDF, Office, EPUB, HTML, images, audio/video. Local MCP.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Design, images & audio

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "anymd": {
      "command": "npx",
      "args": [
        "-y",
        "@sylphx/anymd"
      ]
    }
  }
}

Run this in your terminal

claude mcp add anymd -- npx -y @sylphx/anymd

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "anymd": {
      "command": "npx",
      "args": [
        "-y",
        "@sylphx/anymd"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "anymd": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@sylphx/anymd"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account SylphxAI, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

More stars than 0% of the other 2764 servers in this category
Published to the registry more recently than 99% of the other 2764 servers in this category
Basic checks equal to or better than 100% of the other 2764 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is anymd safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (8.5.11) reached the registry today.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Figma Context MCP

by GLips

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

Runs on your computer★ 16,165MITUpdated 5 months ago

Install

Claude Real Video

by HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

Runs on your computer★ 2,284MITUpdated 2 months ago

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Figma MCP Server

by figma

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

Runs in the cloud★ 2,152Updated 13 months ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

anymd

PDF, Word, PowerPoint, Excel, EPUB, HTML and web pages, images (OCR), audio and video (metadata, subtitles, transcripts). A fast Rust MCP server and CLI that runs on your machine. No API key.

anymd is the free, local mode of the same crates that run Sylphx AI parse, the hosted document-parse service: the same crates, hosted and metered per page for callers that want no local runtime.

Install · Benchmarks · Tools · CLI · Formats · Docs · Pro

Formerly pdf-reader-mcp. Migrating from pdf-reader-mcp

A real, unedited terminal recording (asciinema + agg, script ). The last command is Claude Code answering from the PDF through the anymd MCP server.

npx -y @sylphx/anymd setup              # add anymd to every MCP client on this machine

npx -y @sylphx/anymd report.pdf > report.md # or convert from the shell

Why anymd

Fast. Native Rust converts in parallel, page by page. On the 38 benchmark documents, anymd takes 11.5 s in total; docling 2,432.4 s (212×), markitdown 75.6 s (7×); marker converted 30 of them in 7,104.5 s, against anymd's 4.64 s on the same 30 (1,532×).

Accurate. A layout engine rebuilds words from glyph gaps, puts two-column papers in reading order, and recovers tables, including borderless ones. The text stays exactly as printed, with no glued words and no scrambled columns.
Lean on tokens. Pages come back as Markdown with citation anchors, a small front-matter header, and compact tables. A token budget and a cursor keep large documents within your agent's context.
Every format, one call. One tool reads every format listed below. It also accepts web URLs and whole directories, and search looks across all of them.
Local and private. Nothing is uploaded. OCR uses installed local doc-VLM models or tesseract; transcripts use ffmpeg and bundled Qwen3-ASR. OCR setup and ASR model downloads require explicit opt-in.

Install

Add anymd to every MCP client on your machine (Claude Code, Codex, Cursor, VS Code, Claude Desktop, Windsurf, Gemini CLI) with one command:

npx -y @sylphx/anymd setup     # --dry-run to preview, --remove to undo

Or add it by hand: every MCP client runs the same command, npx -y @sylphx/anymd. Node 18+ is the only requirement; npm installs the native binary for your platform.

Claude Code

claude mcp add anymd -- npx -y @sylphx/anymd

Or as a plugin, with the anymd skill: /plugin marketplace add SylphxAI/anymd, then /plugin install anymd@anymd.

Codex

codex mcp add anymd -- npx -y @sylphx/anymd

or in ~/.codex/config.toml:

[mcp_servers.anymd]

command = "npx" args = ["-y", "@sylphx/anymd"]

</details>

Cursor

or in .cursor/mcp.json:

{ "mcpServers": { "anymd": { "command": "npx", "args": ["-y", "@sylphx/anymd"] } } }

VS Code

Install in VS Code with one click, or from a terminal:

code --add-mcp '{"name":"anymd","command":"npx","args":["-y","@sylphx/anymd"]}'

or in .vscode/mcp.json:

{ "servers": { "anymd": { "type": "stdio", "command": "npx", "args": ["-y", "@sylphx/anymd"] } } }

Claude Desktop

One click: download anymd- .mcpb from the latest release and open it. Or, by hand:

Add to claude_desktop_config.json (Settings → Developer → Edit Config):

{ "mcpServers": { "anymd": { "command": "npx", "args": ["-y", "@sylphx/anymd"] } } }

Windsurf, Zed, Cline, and other clients

Any client that speaks MCP over stdio: command npx, args ["-y", "@sylphx/anymd"]. To keep the server inside one folder, add --allow-dir=/path/to/docs.

CLI only

npm install -g @sylphx/anymd     # or run it once with: npx -y @sylphx/anymd <file>

Python wheels carry the same prebuilt binary and are on PyPI as anymd from the first release after publication.

Use npm on Windows, macOS and Linux. On macOS and Linux, Homebrew is also available:

brew install sylphxai/tap/anymd

Docker (amd64 and arm64):

docker run --rm -v "$PWD:/data" ghcr.io/sylphxai/anymd report.pdf > report.md

docker run -i --rm ghcr.io/sylphxai/anymd # MCP server on stdio

Or build it from crates.io (Rust 1.95+, CMake and a C++ compiler; doc-VLM OCR and local ASR are included):

cargo install anymd

npm, pip and Docker ship a prebuilt binary, while cargo install compiles one on your machine.

Benchmarks

AgentDocBench is an open benchmark for document → Markdown conversion for agents: license-clean documents in 12 categories (math papers, two-column papers, financial tables, forms, scans, CJK, slides, spreadsheets, Word, EPUB, HTML), scored on verbatim sentences, text F1, reading order, and table cells, with time and output tokens. Every tool runs on the same kind of GitHub-hosted runner (4 CPUs):

	anymd	docling	kreuzberg	unstructured	markitdown	marker	pdftotext
Overall score	96.4	93.0	81.7	81.2	76.8	71.0	42.2
Table cells F1	92.2	89.9	38.4	38.4	57.2	60.9	0.0
Reading order	98.8	94.4	96.8	93.9	85.5	76.8	52.0
Docs converted	38/38	38/38	38/38	38/38	38/38	30/38	23/38
Time, all docs	11.5 s	2,432.4 s	16.0 s	346.5 s	75.6 s	7,104.5 s	0.90 s

The generated leaderboard, per-category scores (including where anymd loses), and method are in the benchmark guide. The corpus, ground truth, adapters, and raw results are in bench/, and the Benchmark workflow reruns everything; new tools can join with a single adapter file.

Image and video extraction

Image and video benchmarks cover page-image OCR and embedded video subtitles separately:

Dataset	anymd	Reference alternative
OmniDocBench v1.6 (1,651 page images), overall ↑	21.4 (8.1.0, English tesseract)	TeleOCR 96.91 (author-reported, not our same-run measurement)
MP4 mov_text fixtures (4 clips, 12 cues), text/start recall ↑	91.7% (8.5.1, 11/12)	FFmpeg 100% (12/12)
Matroska SubRip fixtures (4 clips, 12 cues), text/start recall ↑	91.7% (8.5.1, 11/12)	FFmpeg 100% (12/12)

The image score is historical, not a score for the current OCR model. The video scores were measured on 2026-10-08 using small authored regression datasets, not films or lectures; anymd drops a repeated caption at a different timestamp. They measure embedded subtitle extraction, not visual understanding or ASR. The guide links the alternative selection, limitations, timings, raw outputs and reproduction harness.

MCP tools

anymd exposes four tools.

Tool	Use it to	Key arguments
`outline`	Navigate a heading tree, with node ids and unit/Markdown ranges	`source`, `format` (`json` · `tree`)
`read`	Turn a file, URL, or folder into Markdown	`source`, `pages` (`"1-5,8"`), `max_tokens` (default 20000), `cursor`, `ocr`, `images` (`refs` · `none`), `revisions` (`markup` · `accept` · `reject`), `transcript`, `download_asr_model`
`search`	Find text across files, folders, and URLs	`query`, `sources`, `mode` (`auto` · `literal` · `ranked`), `glob`, `max_results`
`inspect`	Go deeper on a PDF	`operation`: `render_page`, `extract_regions`, `ocr_pages`, `structure` (JSON with geometry), `compare`, `inspect`, `cite_check` (quote and location support, anymd Pro)

A read answer looks like this:

---

source: papers/attention.pdf title: Attention Is All You Need pages: 15 showing: pages 1-9

Attention Is All You Need

…

|Model|BLEU EN-DE|BLEU EN-FR| |-|-|-| |Transformer (big)|28.4|41.8| …

search answers with one line per hit:

5 matches for "masked language model" (2 files, 31 sections searched)

papers/bert.pdf (5)

p.1: …by using a “masked language model” (MLM) pre-training objective, inspired by the Cloze task…
p.2: …In addition to the masked language model, we also use a “next sentence prediction” task…

If nothing matches exactly, search falls back to BM25-ranked passages, so a question like "how does bidirectional pretraining work" still finds the right page.

CLI

The same binary is a command-line converter, like MarkItDown but much faster:

anymd report.pdf > report.md                 # a file

anymd deck

Only the beginning is shown; read the rest in the repo

anymd

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Design, images & audioi

Common questions

Alternatives

Figma Context MCP

Claude Real Video

Figma MCP Server

README from the maker

Why anymd

Install

Benchmarks

Image and video extraction

MCP tools

Attention Is All You Need

papers/bert.pdf (5)

CLI