AI 어시스턴트를 위한 문서 처리 초능력
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.
🔑 Your MCP key
Requests from an MCP client count against your account the same way work you do on the website does. Without a key the server treats the client as an anonymous visitor and applies the anonymous daily limit.
Clients that support MCP's OAuth flow (protected-resource metadata, RFC 9728) can skip keys entirely — they discover the login page from the server and sign you in through the browser. Keys remain the way to connect scripts and clients without OAuth support.
No account needed to try this out — Create key below issues a free trial key on the spot, at the same limits as a free account. Sign in (top of the page) to list or revoke keys later, or to upgrade to a paid plan for full limits.
Copy this key now — it is stored only as a hash and cannot be shown again.
Paste it into your client config as an Authorization header:
This is a free trial key — it works at the same limits as a free account. Sign in to keep it listed for later, or upgrade to a paid plan for full limits.
Existing keys
| Label | Key | Created | Last used |
|---|
⚡ Endpoint
The MCP server runs over Streamable HTTP at:
https://api.documentize.app/mcpThe 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",
"headers": {
"Authorization": "Bearer dmk_your_key_here"
}
}
}
}Restart Claude Desktop. The Documentize tools will appear in the tool list. Omit the headers block to connect anonymously — the tools still work, but under the anonymous daily limit.
🔌 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",
"headers": {
"Authorization": "Bearer dmk_your_key_here"
}
}
}
}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.
- Call a processing tool (e.g.
ConvertDocument) → receive a task ID (folderName). - Call
GetTaskStatuswith that task ID and poll untilstatusCodeis 200. - When complete, the response contains a
sharedFilesarray. Each entry has afileName(display name) and anuploadFileName(a pre-signed S3 download URL). Open anyuploadFileNameURL in your browser to download the result file.
// 1. Start a task
ConvertDocument(fileUrl: "C:\\Users\\Alice\\Documents\\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
Most users are pointing the agent at a file on their own machine, so lead with that — a plain local path or a file:// URI works directly, no upload step required. The server also accepts remote URLs when that's where the file actually lives.
Local file path (most common)
File paths are resolved by the server, not by the client. They work whenever the MCP server can see the path you give it — Documentize SelfHost, a local development instance, or an agent running alongside the server. Just point it at the file:
// 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 instead, and the server fetches the file automatically before processing.
ConvertDocument(fileUrl: "https://example.com/report.pdf",
inputType: "pdf", outputType: "docx")Supported file-source schemes
The server recognizes these URL schemes for fileUrl / fileUrls — anything else is rejected before a task is started:
private static readonly HashSet<string> SupportedSchemes = new(StringComparer.OrdinalIgnoreCase)
{
"http", "https", "ftp", "ftps", "file", "local"
};file/local— a path on disk, either as a bare path (C:\...,/home/...) or afile://URI.http/https— a remote URL the server downloads before processing.ftp/ftps— a file served from an FTP/FTPS host.
Practical agent prompts
Refer to files the way you naturally would — a path on your machine works directly:
// In Claude Desktop or Cursor chat:
"Convert my file C:\Users\Alice\Downloads\invoice.pdf to Word format"
"Compress file:///home/alice/documents/thesis.pdf and send me the download link"
"Extract all the text from /home/alice/documents/Q1.pdf"If the file isn't local — it's already hosted somewhere — pass its URL instead: "Convert https://example.com/invoice.pdf to Word format".
👤 Accounts, limits & quotas
Usage is metered per account, and an MCP client is metered exactly like the website: one operation = one processing call, whatever the file count. Checking task status and asking about your own account are free.
| Tier | Who | Operations / day |
|---|---|---|
| anonymous | No Authorization header | 3 — enough to try a tool, not to work |
| free | Registered account, no subscription | 5, resets midnight UTC |
| paid | Active subscription | Unlimited — the tier built for bulk and unattended agents |
Three tools let an agent manage this itself. None of them consume quota:
- GetAccountStatus — current tier, plan, operations used and remaining, reset time, and the safe parallelism for batch work.
- GetSignInInstructions — the exact steps to register, issue a key, and configure the client. The agent relays these to you; it cannot sign in on your behalf.
- SignOut — how to disconnect. Pass
revokeKey: trueto also revoke the key this connection uses (permanent, and it breaks every client sharing that key).
A healthy, signed-in connection looks like this:
GetAccountStatus()
// → {
// "ok": true,
// "account": {
// "authenticated": true,
// "authMethod": "mcp_key",
// "credentialRejected": false,
// "tier": "paid",
// "plan": "Business",
// "unlimited": true,
// "maxParallelRequests": 8
// },
// "advice": "Unlimited plan. Mass processing is supported; use ProcessBatch
// with up to 8 parallel requests."
// }A free account running low looks like this:
GetAccountStatus()
// → {
// "account": {
// "authenticated": true, "tier": "free", "unlimited": false,
// "used": 4, "limit": 5, "remaining": 1,
// "resetsAtUtc": "2026-08-28T00:00:00Z",
// "maxParallelRequests": 2
// },
// "advice": "1 of 5 operations left today (resets 2026-08-28 00:00:00Z)..."
// }When a call is refused
Refusals come back as a structured object with a machine-readable error and a nextStep for the agent to follow, so it stops instead of retrying blindly. Each code means something different:
error | What happened | What to do |
|---|---|---|
credential_rejected | The key in your client config was revoked, deleted or mistyped, and the connection silently fell back to anonymous. | Issue a new key above, replace it in the config, restart the client. Retrying will not help. |
auth_required | Anonymous allowance spent. | Sign in and add a key — the agent can read you the steps. |
quota_exceeded | Signed in, but out of operations for today. | Wait for retryAfterUtc (midnight UTC), or subscribe. |
billing_unavailable | Subscription service unreachable. | Nothing — advisory only. The work was still accepted. |
// Example refusal — note that it is explicitly not retryable
CompressDocument(fileUrl: "C:\\Users\\Alice\\Documents\\big.pdf")
// → {
// "ok": false,
// "error": "credential_rejected",
// "statusCode": 401,
// "message": "The Documentize API key in this MCP client's configuration was
// refused — it has been revoked, deleted, or was copied incorrectly...",
// "nextStep": "Tell the user to sign in ... issue a new one, and replace the value
// in this MCP client's configuration (then restart the client).",
// "retryable": false
// }Claude, Cursor 또는 MCP 호환 클라이언트를 자연어를 통해 28개 이상의 문서 도구에 연결하세요.
Claude, Cursor 또는 MCP 호환 클라이언트를 28개 이상의 문서 도구에 연결합니다. 변환, 압축, 서명, 텍스트 추출, OCR 실행 및 AI 요약 생성 — 모두 자연어를 통해 수행됩니다.
Documentize MCP 작동 방식
1. MCP 클라이언트 연결
Documentize MCP 서버를 Claude Desktop, Cursor, VS Code 또는 MCP 호환 클라이언트에 추가하세요. 한 줄 구성으로 가능합니다.
2. 세션 초기화
클라이언트가 자동으로 초기화 요청을 보내고 세션 ID를 받습니다. 이후 모든 호출은 이 세션을 사용해 추적됩니다(사용량 기반 수익화에 최적).
3. 자연스럽게 물어보기
"Convert this PDF to DOCX" — AI 어시스턴트가 문서와 함께 적절한 도구를 호출합니다. API 문서가 필요하지 않습니다.
4. 결과 가져오기
서버는 비동기적으로 처리하고, 상태를 폴링하며, 변환된 문서 또는 추출된 데이터를 직접 AI 어시스턴트에 전달합니다.
FAQs
AI MCP 서버
깊이 계층형 SVG 아키텍처
각 SVG는 배경, 중간, 전경 레이어로 구성되며 Z-인덱스 순서와 종속성 추적이 적용됩니다. AI는 레이어 관계를 관리하고 성능이 낮은 레이어를 자동으로 제거하여 출력이 깔끔하고 일관되게 유지됩니다.
반복적인 SVG 편집
지속적인 AI 채팅을 통해 SVG 디자인을 개선하고 수정합니다.
빠른 벡터 생성
아이콘, 로고, 일러스트레이션을 몇 초 안에 만들 수 있습니다.