Supermoči za obdelavo dokumentov za vašega AI asistenta

Connect AI agents to Documentize with MCP

The Documentize MCP server exposes all document processing capabilities as tools for AI agents and LLM clients — convert, merge, extract, sign, and more, directly from Claude Desktop, VS Code Copilot, Cursor, or any MCP-compatible host.

⚡ Endpoint

The MCP server runs over Streamable HTTP at:

https://api.documentize.app/mcp

The server uses stateful sessions. After the initial initialize request the server returns an Mcp-Session-Id header; include it in every subsequent request. MCP clients handle this automatically.

🔌 Connect from Claude Desktop

Add the server to claude_desktop_config.json (%APPDATA%\Claude\ on Windows, ~/Library/Application Support/Claude/ on macOS):

{
  "mcpServers": {
    "documentize": {
      "type": "http",
      "url": "https://api.documentize.app/mcp"
    }
  }
}

Restart Claude Desktop. The Documentize tools will appear in the tool list.

🔌 Connect from VS Code (GitHub Copilot)

Create .vscode/mcp.json in your workspace (or add to User Settings):

{
  "servers": {
    "documentize": {
      "type": "http",
      "url": "https://api.documentize.app/mcp"
    }
  }
}

Open GitHub Copilot Chat, switch to Agent mode, and click the Tools button — Documentize tools will be listed there.

🔌 Connect from Cursor / Cline

In Cursor, open Settings → MCP and add a new server:

{
  "name": "documentize",
  "type": "http",
  "serverUrl": "https://api.documentize.app/mcp"
}

Cline users can add the same entry under MCP Servers in its settings panel.

⚙️ How tasks work

All processing tools are asynchronous. Each call starts a background job and returns a JSON object with a folderName field — that is your task ID.

  1. Call a processing tool (e.g. ConvertDocument) → receive a task ID (folderName).
  2. Call GetTaskStatus with that task ID and poll until statusCode is 200.
  3. When complete, the response contains a sharedFiles array. Each entry has a fileName (display name) and an uploadFileName (a pre-signed S3 download URL). Open any uploadFileName URL in your browser to download the result file.
// 1. Start a task
ConvertDocument(fileUrl: "https://example.com/report.pdf",
                inputType: "pdf", outputType: "docx")
// → { "folderName": "abc123", "statusCode": 204 }

// 2. Poll until done (statusCode 204/202/203 = still processing)
GetTaskStatus(taskId: "abc123")
// → {
//     "statusCode": 200,
//     "sharedFiles": [
//       {
//         "fileName": "report.docx",
//         "uploadFileName": "https://s3.amazonaws.com/...presigned-url..."
//       }
//     ]
//   }

// 3. Download the result
// Open uploadFileName in a browser, or tell the agent:
//   "Download https://s3.amazonaws.com/...presigned-url... and save it as report.docx"

Use GetNextAppSuggestions after any operation to get recommended follow-up tools based on the output format.

📂 Providing your files

The MCP server accepts files in three ways — use whichever fits your workflow:

Local file path (recommended for desktop AI clients)

When running Claude Desktop, Cursor, or Cline on your own machine, simply pass the path to a file on your disk. The AI agent reads it directly — no manual upload needed.

// Windows absolute path
ConvertDocument(fileUrl: "C:\\Users\\Alice\\Documents\\report.pdf",
                inputType: "pdf", outputType: "docx")

// macOS / Linux absolute path
ConvertDocument(fileUrl: "/home/alice/documents/report.pdf",
                inputType: "pdf", outputType: "docx")

You can also use the standard file:// URI format:

// file:// URI — Windows
ConvertDocument(fileUrl: "file:///C:/Users/Alice/Documents/report.pdf",
                inputType: "pdf", outputType: "docx")

// file:// URI — macOS / Linux
ConvertDocument(fileUrl: "file:///home/alice/documents/report.pdf",
                inputType: "pdf", outputType: "docx")

Remote URL

Pass any publicly accessible https:// or http:// URL. The server fetches the file automatically before processing.

ConvertDocument(fileUrl: "https://example.com/report.pdf",
                inputType: "pdf", outputType: "docx")

Practical agent prompts

With a local AI client you can refer to files by name and let the agent resolve the path:

// In Claude Desktop or Cursor chat:
"Convert my file C:\Users\Alice\Downloads\invoice.pdf to Word format"

"Compress /home/alice/thesis.pdf and send me the download link"

"Extract all text from file:///C:/Reports/Q1.pdf"

🧰 Available Tools

Document Operations

  • ConvertDocument — Convert between PDF, DOCX, PPTX, HTML, JPG, PNG, and more.
  • MergeDocuments — Combine multiple files into a single document.
  • SplitDocument — Split a PDF by page ranges, bookmarks, or fixed size.
  • CompressDocument — Reduce PDF file size (low / medium / high).
  • RotateDocument — Rotate all or selected pages by 90°, 180°, or 270°.
  • ResizeDocument — Resize PDF pages to A4, Letter, A3, etc.
  • RemovePages — Delete specific pages from a PDF.

Security

  • LockDocument — Encrypt a PDF with a password.
  • UnlockDocument — Remove a password from a protected PDF.
  • SignDocument — Digitally sign a document.
  • VerifySignature — Verify existing digital signatures.

Content Extraction

  • ExtractText — Pull all text from a document (Pure or Raw mode).
  • ExtractImages — Export all embedded images.
  • ExtractMetadata — Read author, title, creation date, keywords, etc.
  • ExtractFormData — Export data from fillable PDF form fields.
  • ParseDocument — Parse annotations, bookmarks, tables, and more.
  • SearchInDocument — Find text occurrences inside a document.
  • MakeSearchable — Add a text layer to a scanned PDF via OCR.
  • RunOcr — Run OCR on a scanned file or image to produce a searchable PDF.

Form & Structure

  • FlattenDocument — Flatten form fields and annotations (make non-editable).
  • AddTable — Embed a table from an Excel or CSV file into a PDF.
  • AddToc — Add a table of contents to a PDF based on its headings.

AI-Powered

  • GenerateTableOfContents — AI-structured TOC from document headings.
  • GenerateAbstract — Summarize a document (academic / professional / casual style).
  • GenerateChecklist — Extract tasks, requirements, or compliance items from a document.
  • AnalyzeResume — Extract, analyze, or compare a CV against a job description.
  • ChatWithDocument — Ask questions about document content (RAG).
  • GenerateSvg — Create an SVG illustration from a text prompt.
  • AddIllustrations — Generate AI illustrations and embed them in a document.

Status & Utility

  • GetTaskStatus — Check task progress; returns download link when ready.
  • GetNextAppSuggestions — Get recommended follow-up operations for a given output.

📋 Notes

  • File sources can be a local path (C:\file.pdf, /home/user/file.pdf), a file:// URI, or a public https:// URL.
  • For MergeDocuments, pass file URLs as a comma-separated string.
  • Status codes: 202/203 = still processing, 200 = done, 500 = error.
  • MCP protocol version reported by the server: 2025-11-25.

Quick Reference

MCP Endpoint

https://api.documentize.app/mcp

claude_desktop_config.json

{
  "mcpServers": {
    "documentize": {
      "type": "http",
      "url": "https://api.documentize.app/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "documentize": {
      "type": "http",
      "url": "https://api.documentize.app/mcp"
    }
  }
}

Key Facts

  • Protocol: MCP 2025-11-25 (Streamable HTTP)
  • Sessions: stateful — Mcp-Session-Id header required after init
  • Tasks are async — poll GetTaskStatus; download via sharedFiles[].uploadFileName (S3 pre-signed URL)
  • File inputs accept public URLs or local file:// paths
Supermoči za obdelavo dokumentov za vašega AI asistenta

Povežite Claude, Cursor ali kateri koli MCP‑kompatibilen odjemalec z več kot 28 orodji za dokumente prek naravnega jezika.

Povežite Claude, Cursor ali kateri koli MCP-kompatibilen odjemalec z več kot 28 orodji za dokumente. Pretvarjajte, stiskajte, podpisujte, izvlečite besedilo, izvajajte OCR in ustvarjajte AI povzetke — vse prek naravnega jezika.

Kako deluje Documentize MCP

1. Povežite svoj MCP odjemalec

Dodajte strežnik Documentize MCP v Claude Desktop, Cursor, VS Code ali kateri koli MCP‑združljiv odjemalec. Ena vrstica konfiguracije.

2. Inicializiraj sejo

Vaš odjemalec samodejno pošlje zahtevo za inicializacijo in prejme ID seje. Vsi nadaljnji klici uporabljajo to sejo za sledenje (odlično za monetizacijo na podlagi uporabe).

3. Vprašajte naravno

"Pretvori ta PDF v DOCX" — vaš AI asistent pokliče ustrezno orodje z vašim dokumentom. Dokumentacija API ni potrebna.

4. Pridobite rezultate

Strežnik obdeluje asinhrono, preverja stanje in neposredno dostavi pretvorjeni dokument ali izvlečene podatke vašemu AI asistentu.

FAQs

Model Context Protocol (MCP) je odprt standard, ki omogoča AI asistentom, kot sta Claude in Cursor, neposredno klicanje orodij. Namesto pisanja API kode preprosto naravno vprašate. Documentize ponuja strežnik MCP s 28 orodji za obdelavo dokumentov, ki jih vaš AI lahko takoj uporabi.
Način s stanjem omogoča sledenje po sejah, merjenje uporabe in izolacijo odjemalcev — kar je ključno za monetizacijo. Vsak odjemalec po inicializaciji prejme edinstven ID seje, ki ga lahko uporabite za obračunavanje po uporabi, izvajanje omejitev hitrosti ali spremljanje aktivnosti strank. Vaš AI odjemalec samodejno upravlja s tem ID-jem seje.
Da! Uporabite naslove file:// (npr. file:///home/user/document.pdf). Vaš MCP odjemalec pošlje pot do datoteke, Documentize pa jo prebere neposredno iz vašega lokalnega datotečnega sistema. Odlično za občutljive dokumente, ki jih ni smiselno nalagati v oblak.
Claude Desktop (z načinom Agent), Cursor IDE, VS Code s Copilotom, Continue.dev in kateri koli MCP-kompatibilen odjemalec. Prav tako nudimo neposreden HTTP dostop za po meri prilagojene integracije.
Documentize deluje na vaši lastni infrastrukturi, ko je samostojno gostovan, ali na naših strežnikih v EU za oblačno različico. Za strežnik MCP izberete: samostojno gostovanje za popoln nadzor nad podatki ali uporabo našega API-ja v oblaku za udobje. Podatki iz dokumentov se nikoli ne uporabljajo za treniranje AI modelov.
Documentize zagotavlja procesni motor. Dodate vmesnik za preverjanje pristnosti, sledenje uporabi in obračunavanje. Model sejne stanje vam daje glave Mcp-Session-Id, ki jih lahko povežete s ključev API ali uporabniškimi računi. Ponujamo licenciranje za komercialno redistribucijo.

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Brezplačna raven

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