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AILANG Parse

by sunholo-dataversion 0.14.1i★ –iComputer or cloud
Registry nameio.github.sunholo-data/parse

Install

Overview

Description from the maker (original English)

Parse, convert and create Office and PDF documents. OAuth at /mcp/connect/, API key at /mcp/.

PopNx MCP’s three pillars

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

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: Computer or cloud
  • Transport: stdio, Streamable HTTP
  • Category: Docs, sheets & office work
  • You need to fill in: DOCPARSE_API_KEY

Install

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

Before you install

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • Runs in the cloudNothing to install; it connects over the internet
  • npmNode.js installed (for the npx command)

Which app do you use?

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

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://docparse.ailang.sunholo.com/mcp/connect/

Or run it on your computer

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

{
  "mcpServers": {
    "parse": {
      "command": "npx",
      "args": [
        "-y",
        "@ailang/parse",
        "mcp"
      ],
      "env": {
        "DOCPARSE_API_KEY": "your-value",
        "AILANG_PARSE_MCP_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add --transport http parse https://docparse.ailang.sunholo.com/mcp/connect/

Or run it on your computer

claude mcp add parse --env DOCPARSE_API_KEY=your-value --env AILANG_PARSE_MCP_URL=your-value -- npx -y @ailang/parse mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "parse": {
      "url": "https://docparse.ailang.sunholo.com/mcp/connect/"
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "parse": {
      "command": "npx",
      "args": [
        "-y",
        "@ailang/parse",
        "mcp"
      ],
      "env": {
        "DOCPARSE_API_KEY": "your-value",
        "AILANG_PARSE_MCP_URL": "your-value"
      }
    }
  }
}

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": {
    "parse": {
      "type": "http",
      "url": "https://docparse.ailang.sunholo.com/mcp/connect/"
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "parse": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@ailang/parse",
        "mcp"
      ],
      "env": {
        "DOCPARSE_API_KEY": "your-value",
        "AILANG_PARSE_MCP_URL": "your-value"
      }
    }
  }
}

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.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://docparse.ailang.sunholo.com/mcp/connect/

Menu names can differ slightly by plan and over time.

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

Values you fill in

  • DOCPARSE_API_KEY secret env
    AILANG Parse API key (dp_...). Optional — the bridge auto-loads keys saved at ~/.config/ailang-parse/credentials.json. Get one from https://www.sunholo.com/ailang-parse/
  • AILANG_PARSE_MCP_URL env
    Override the hosted MCP endpoint. Defaults to https://docparse.ailang.sunholo.com/mcp/

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

What it can do

Tool names and descriptions exactly as the server reported them on Nov 6, 2026. The maker wrote them, not us; we show them as plain text.

  • createUpload

    Get one-time upload links for files in your sandbox or workspace, when you can run shell commands with network access (Claude Code, Codex, a code sandbox). One token PER FILE: a token uploads exactly one file. For several files set count (1..20) to get that many descriptors in on

  • editDocument

    Edit a document: parse it, apply a JSON array of edit deltas, and return the modified blocks (same shape as mcpParse with outputFormat "blocks"). deltas "" or "[]" returns the document unchanged. Office formats only: docx, pptx, xlsx, odt, odp, ods. Give the document ONE way: fil

  • mcpAccount

    Your AILANG Parse account: plan, monthly usage and limits, your keys, and whether request history is kept. Actions: "status" (default) → plan, usage this month and remaining allowance "keys" → your keys with per-key usage ("usage" is an alias) "history" → whether request history

  • mcpConvert

    Create a document in another format: docx, pptx, xlsx, odt, odp, ods, html, md or qmd. To write a new document, write Markdown and send it as content with filename "notes.md" (headings become slides in pptx). To convert an existing document, give it ONE way: fileRef: a file the u

  • mcpEstimate

    Estimate cost and latency for parsing a document. Accepts a file path or sample_id. No auth required.

  • mcpFormats

    What AILANG Parse can read and write, how to send it a document, and the sample documents you can try without one. No sign-in needed.

  • mcpParse

    Parse a document into structured blocks, Markdown, HTML or A2UI, or a short summary of it. Give the document ONE way: fileRef: an uploaded file (mcp-file://docparse/file_...). The same user can use it again for 30 minutes after the first use (more parts, another format), then it

  • submit_feedback

    Anonymous bug report / feature request / docs gap, queued for human review. Default routing: `public-feedback` inbox (general AILANG). Pass `package="vendor/name"` (e.g. "sunholo/auth") to route to that package's `pkg:vendor/name` inbox where its autonomous agent watches. Categor

  • uploadDocument

    Let the user pick a file to parse: shows the AILANG Parse card with a Choose file button. The card uploads the file and tries to summarise it for you; either way you get its fileRef. Then call mcpParse with that fileRef for the content (the same user can reuse it for 30 minutes;

  • uploadViaHost

    Receive a file from the AILANG Parse upload widget, relayed by the host as base64. Only the widget calls this; ticket is the upload token it holds.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account sunholo-data, 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

  • ✓ Pass

    Endpoint responds

    Responded in 273 ms (HTTP 200)

  • – Not applicable

    Sign-in with OAuth

    No sign-in needed

  • ✓ Pass

    No hidden instructions in tool descriptions

    Read 10 tool descriptions and found no hidden instructions to the AI

Compared with others in Docs, sheets & office worki

  • More stars than 0% of the other 2167 servers in this category
  • Published to the registry more recently than 95% of the other 2167 servers in this category
  • Basic checks equal to or better than 100% of the other 2167 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 AILANG Parse safe?

It passed 3 of 3 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?

You need to fill in: DOCPARSE_API_KEY

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.14.1) reached the registry yesterday.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

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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.

AILANG Parse

Universal document parsing and generation in AILANG. Extracts structured content from DOCX, PPTX, XLSX, PDF, and image files into JSON and markdown — and writes documents back out in 9 formats. To author a document, write Markdown and convert it; see Writing documents in Markdown.

Office formats (DOCX, PPTX, XLSX) use deterministic XML parsing — no AI, no cloud, instant results. PDFs default to the deterministic pdftotext backend (poppler) — also no AI, no cloud — with poppler (headings, lists, tables and header/footer from the same tools, no installs), docling and liteparse as local alternatives escalating automatically to local docling OCR for scanned/image-only PDFs. Pluggable AI (Gemini, Claude, local Ollama) is available via --pdf-backend ai but is never chosen automatically. Images delegate to whatever AI model you plug in. AILANG Parse is AI-agnostic: swap --pdf-backend/--ai to change the backend, zero code changes.

Install

Two routes; both put a docparse command on your PATH, and both write output next to the file you parse (--output-dir DIR or DOCPARSE_OUTPUT_DIR to change that).

Already have [AILANG](https://github.com/sunholo-data/ailang)? (0.42.0+ of this package, AILANG v0.40.0 dev or later)

ailang install sunholo/ailang_parse

docparse report.docx

The package's [bin] table gives you a shim in ~/.ailang/bin that runs straight out of the registry cache: parse one file, or --convert it. It is deliberately the thin path — describe/summarize, batch mode, PDF backends and --install-backends are not on it (see below). ailang bin list / ailang bin uninstall docparse manage it.

Otherwise, or for the full CLI:

curl -fsSL https://www.sunholo.com/ailang-parse/install.sh | sh

Fetches the published package (~400 KB), installs the AILANG runtime if you do not have it, and links the full docparse wrapper (plus docparse-audit and docparse-render) into ~/.local/bin. --version, --prefix and --uninstall are supported; re-running is a no-op. If you install both, ailang install tells you which one docparse resolves to.

That covers every deterministic format. PDF needs two more things, and they are easy to miss:

brew install poppler        # pdftotext, the default PDF backend

(apt install poppler-utils on Debian/Ubuntu)

docparse --install-backends # docling + liteparse, for scans and layout

--install-backends matters even if you never pass --pdf-backend: when pdftotext finds no text layer the parser escalates to docling on its own, so without it a scanned PDF fails on the default backend. AI backends authenticate with Google ADC (gcloud auth application-default login), not an API key.

Contributors: install from a clone instead

git clone https://github.com/sunholo-data/ailang-parse.git

ln -s "$(pwd)/ailang-parse/bin/docparse" /usr/local/bin/docparse

The wrapper finds the project root by walking up for docparse/main.ail, so it works from a clone, an installed prefix, or a symlink chain. Note that the CLI wrapper and the PDF adapter live under assets/ — the only path the AILANG publisher bundles verbatim — with symlinks at their historical locations.

SDKs

Use AILANG Parse from your language of choice:

pip install ailang-parse          # Python

npm install @ailang/parse # JavaScript/TypeScript go get github.com/sunholo-data/ailang-parse-go # Go

Quick Start

# Office documents (deterministic, no AI needed)

docparse report.docx docparse slides.pptx docparse spreadsheet.xlsx

PDF (deterministic pdftotext by default — no AI); images (AI auto-enabled)

docparse document.pdf docparse photo.png

Options

docparse report.docx describe # AI image descriptions docparse report.docx summarize # AI document summary docparse contract.pdf # PDF: deterministic pdftotext (default) docparse scan.pdf # Scanned PDF: escalates to local docling OCR docparse scan.pdf --pdf-backend ai --ai gemini-3.5-flash-lite # External AI (paid), opt-in only

Format conversion

docparse report.docx --convert output.html docparse data.csv --convert report.docx docparse notes.md --convert slides.pptx docparse notes.md --convert offer.docx --reference-doc letterhead.docx

AI document generation

ailang run --entry main --caps IO,FS,Env,AI --ai gemini-3.5-flash-lite \ docparse/main.ail --generate report.docx --prompt "Q1 sales report with tables"

Output

Every run produces, in the directory you ran from (--output-dir DIR or DOCPARSE_OUTPUT_DIR to change it):

  • .json — Structured JSON with typed blocks
  • .md — LLM-ready markdown

What AILANG Parse Extracts

FeatureDOCXPPTXXLSXBest Competitor
Tables with merged cellsYesYesYesRaw OOXML only
Track changes (redlining)Yes——Pandoc (3/3)
Comments (interleaved)Yes——Raw OOXML (2/2)
Headers/footersYes——Kreuzberg (2/3)
Text boxes / VML shapesYesYes—Raw OOXML (1/2)
Equations (§22.1)Yes——None
Field codes (§17.16)Yes——Kreuzberg, OOXML
Speaker notes—Yes—None
Multi-sheet extraction——YesKreuzberg

OfficeDocBench v2 (87 files, 11 formats, 8 metrics): AILANG Parse PR #116 candidate 98.1% composite with 100.0% coverage. Ten adapters compared, including the hosted Extend (Parse 2.0, 53.3% coverage-adjusted) and LlamaParse (standard mode) APIs. Source-verified structural assertions now measure cell positions, comment targets, list depth, formatting, formulas, colours, and slide/notes relationships. Methodology and results.

Supported Formats

Parsing (16 formats): DOCX, PPTX, XLSX, ODT, ODP, ODS, HTML, Markdown, CSV, EPUB, EML, MBOX, TEX, RTF, PDF, images (JPG/PNG)

Generation (9 formats): DOCX, PPTX, XLSX, ODT, ODP, ODS, HTML, Markdown, QMD (Quarto)

Writing documents in Markdown

Markdown is the input an LLM can write, so it is the practical way to generate a document: write markdown, convert to any of the nine output formats.

docparse report.md --convert report.docx

What survives the trip: YAML front matter (title/author/date → document properties), bold/*italic*/code/~~strike~~ as real character formatting, links as real hyperlinks, images (local paths are read and embedded), fenced code blocks, blockquotes, nested lists, thematic breaks, and tables with alignment and column spans.

Headers, footers, comments and tracked changes have no Markdown syntax; those are preserved when converting from a document that already contains them.

Local document verification (v0.41.2+)

docparse-audit and docparse-render are AILANG companions to the CLI. AILANG Parse v0.41.2 requires AILANG 0.35.0 or newer. They run locally and require no hosted account. The installer links them when present in the installed release; in a checkout use ./bin/docparse-audit and ./bin/docparse-render.

docparse-audit report.docx --strict

docparse-render report.docx --output-dir qa/report docparse-render before.docx --compare after.docx --output-dir qa/comparison

The read-only DOCX audit emits JSON inventories and findings for table grids and headers, heading gaps, image descriptions, links, comments and fields. Exit codes are 0 for a completed audit, 1 for findings with --strict, and 2 for unreadable input. It is a bounded structural check; it does not certify accessibility or resolve arbitrary style inheritance.

Rendering supports .docx, .odt, .pptx, .xlsx and .pdf. Install LibreOffice and Poppler for Office input; PDF needs only Poppler. No new Python dependency is needed. Select tools with --soffice / --pdftoppm (or DOCPARSE_SOFFICE / DOCPARSE_PDFTOPPM). --dpi defaults to 144 and --timeout to 120 seconds per process. The output directory must be new. Each document gets a PDF and numbered PNG pages; the manifest records source hashes, tool paths and page directories. Comparison identifies changed/added/removed pages using uncompressed raster hashes. Inspect the two PNG sets side by side; no diff overlays are generated. visual_review: pending means page images still need inspection.

The implementation is in docparse/services/document_render.ail and docparse/services/docx_audit.ail; regression verification is AILANG too:

ailang run --entry main --caps IO,FS,Env,Process \

--process-allowlist "true,false,mktemp,mkdir,$(command -v soffice),$(command -v pdftoppm)" \ --process-timeout 120s scripts/verify_document_quality.ail -- \ /tmp/docparse-quality-new "$(command -v soffice)" "$(command -v pdftoppm)"

Styling a generated DOCX from a template

--reference-doc is the Quarto/Pandoc reference-doc feature: an existing .docx supplies the look, the Markdown supplies the content.

docparse annex.md --convert annex.docx --reference-doc letterhead.docx

Generated tables use the selected section's usable width, with bounded content weights for columns and repeating semantic headers. Merged-cell widths sum the columns they cover.

The template's styles.xml, numbering.xml, theme, embedded fonts, headers, footers and page setup are applied to the new content. Everything the merge does not regenerate is carried through byte-for-byte, so the letterhead, logo and licensed fonts come out exactly as they went in.

What comes from where:

Templatepage size, margins, headers, footers, page numbering, fonts, theme, colours
Your documentthe body content, and docProps/core.xml (title/author)
Mergedstyles.xml (ours fill only the styleIds the template lacks), numbering.xml (our list definitions take ids above the template's), [Content_Types].xml, both .rels

Two consequences worth knowing:

  • The template's headers and footers win. A source document's own headers are dropped rather than mixed with the letterhead. The page furniture all lives in the template's body , which is lifted whole.
  • The template's comments are dropped along with its body, and so are commentsExtended.xml and people.xml. Comments in the *source* document still come through.

Two flags refine a multi-section template:

  • --reference-section N picks which of the template's sections supplies the page setup, headers and footers — 1 is the first section, Word's numbering. The default is the last section (the body-level one, what the

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