4,000+ servers built on vurb.ts
Vinkius
Vercel AI SDKSDK
Paperless-ngx MCP Server

Bring Digital Archive
to Vercel AI SDK

Learn how to connect Paperless-ngx to Vercel AI SDK and start using 26 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Create CorrespondentCreate Document TypeCreate Saved ViewCreate TagDelete CorrespondentDelete DocumentDelete Document TypeDelete Saved ViewDelete TagDownload DocumentGet CorrespondentGet DocumentGet Document TypeGet TagList CorrespondentsList Document TypesList DocumentsList Saved ViewsList TagsPreview DocumentThumb DocumentUpdate CorrespondentUpdate DocumentUpdate Document TypeUpdate TagUpload Document

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Paperless-ngx

What is the Paperless-ngx MCP Server?

Connect your Paperless-ngx instance to any AI agent and transform your document archive into a searchable, conversational knowledge base.

What you can do

  • Document Discovery — Use list_documents with full-text search or filter by tags and dates to find exactly what you need in seconds.
  • File Operations — Upload new documents with upload_document, download originals with download_document, or get instant visual context with preview_document and thumb_document.
  • Metadata Management — Organize your library by creating and updating tags, correspondents, and document types using dedicated tools like create_tag or update_correspondent.
  • Deep Inspection — Fetch complete OCR text and metadata for any specific file using get_document to help your AI analyze contents.
  • Saved Views — Access your predefined filters and organizational structures with list_saved_views.

How it works

  1. Subscribe to this server
  2. Provide your Paperless-ngx API URL and Personal API Token
  3. Start chatting with your documents in Claude, Cursor, or any MCP-compatible client

No more manual searching through folders. Your AI acts as a digital librarian that knows every word in your archive.

Who is this for?

  • Home Office Users — instantly find utility bills, tax records, or manuals without digging through physical or digital piles.
  • Legal & Admin Teams — query specific correspondents or document types to build reports or verify information quickly.
  • Researchers — manage large collections of PDFs and papers with automated tagging and content retrieval.

Built-in capabilities (26)

create_correspondent

Create a new correspondent

create_document_type

Create a new document type

create_saved_view

Create a new saved view

create_tag

Create a new tag

delete_correspondent

Delete a correspondent

delete_document

Delete a document

delete_document_type

Delete a document type

delete_saved_view

Delete a saved view

delete_tag

Delete a tag

download_document

Download the actual document file

get_correspondent

Retrieve correspondent details

get_document

Retrieve details of a specific document

get_document_type

Retrieve document type details

get_tag

Retrieve tag details

list_correspondents

List all correspondents

list_document_types

List all document types

list_documents

Supports filtering and searching via query parameters. List all documents in Paperless-ngx

list_saved_views

List all saved views

list_tags

List all tags

preview_document

Get a preview of the document

thumb_document

Get the document thumbnail

update_correspondent

Update a correspondent

update_document

Update document metadata

update_document_type

Update a document type

update_tag

Update a tag

upload_document

Upload a new document

Why Vercel AI SDK?

The Vercel AI SDK gives every Paperless-ngx tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 26 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

  • TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

  • Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Paperless-ngx integration everywhere

  • Built-in streaming UI primitives let you display Paperless-ngx tool results progressively in React, Svelte, or Vue components

  • Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

See it in action

Paperless-ngx in Vercel AI SDK

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Paperless-ngx and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Paperless-ngx to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Paperless-ngx in Vercel AI SDK

The Paperless-ngx MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 26 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Paperless-ngx
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

The Vinkius Advantage

How Vinkius secures Paperless-ngx for Vercel AI SDK

Every tool call from Vercel AI SDK to the Paperless-ngx MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I search for documents using specific tags or date ranges?

Yes. The list_documents tool allows you to filter by tags__id__in and created__date__gte. You can also perform a full-text search using the query parameter.

02

Is it possible to see a preview of a document without downloading the whole file?

Absolutely. Use the preview_document or thumb_document tools to get visual representations of the document content directly through the agent.

03

Can I create new organization categories like tags or correspondents via AI?

Yes, you have full management capabilities. You can use create_tag, create_correspondent, and create_document_type to organize your archive on the fly.

04

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.

05

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.

06

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

07

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

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