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Paperless-ngx MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 26 tools to Create Correspondent, Create Document Type, Create Saved View, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Paperless-ngx through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this MCP Server for Vercel AI SDK

The Paperless-ngx MCP Server for Vercel AI SDK is a standout in the Loved By Devs category — giving your AI agent 26 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Paperless-ngx, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* 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

About Paperless-ngx MCP Server

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

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.

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.

The Paperless-ngx MCP Server exposes 26 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 26 Paperless-ngx tools available for Vercel AI SDK

When Vercel AI SDK connects to Paperless-ngx through Vinkius, your AI agent gets direct access to every tool listed below — spanning digital-archive, ocr, full-text-search, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create correspondent on Paperless-ngx

Create a new correspondent

create

Create document type on Paperless-ngx

Create a new document type

create

Create saved view on Paperless-ngx

Create a new saved view

create

Create tag on Paperless-ngx

Create a new tag

delete

Delete correspondent on Paperless-ngx

Delete a correspondent

delete

Delete document on Paperless-ngx

Delete a document

delete

Delete document type on Paperless-ngx

Delete a document type

delete

Delete saved view on Paperless-ngx

Delete a saved view

delete

Delete tag on Paperless-ngx

Delete a tag

download

Download document on Paperless-ngx

Download the actual document file

get

Get correspondent on Paperless-ngx

Retrieve correspondent details

get

Get document on Paperless-ngx

Retrieve details of a specific document

get

Get document type on Paperless-ngx

Retrieve document type details

get

Get tag on Paperless-ngx

Retrieve tag details

list

List correspondents on Paperless-ngx

List all correspondents

list

List document types on Paperless-ngx

List all document types

list

List documents on Paperless-ngx

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

list

List saved views on Paperless-ngx

List all saved views

list

List tags on Paperless-ngx

List all tags

preview

Preview document on Paperless-ngx

Get a preview of the document

thumb

Thumb document on Paperless-ngx

Get the document thumbnail

update

Update correspondent on Paperless-ngx

Update a correspondent

update

Update document on Paperless-ngx

Update document metadata

update

Update document type on Paperless-ngx

Update a document type

update

Update tag on Paperless-ngx

Update a tag

upload

Upload document on Paperless-ngx

Upload a new document

Connect Paperless-ngx to Vercel AI SDK via MCP

Follow these steps to wire Paperless-ngx into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 26 tools from Paperless-ngx and passes them to the LLM

Why Use Vercel AI SDK with the Paperless-ngx MCP Server

Vercel AI SDK provides unique advantages when paired with Paperless-ngx through the Model Context Protocol.

01

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

02

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

03

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

04

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

Paperless-ngx + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Paperless-ngx MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Paperless-ngx in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Paperless-ngx tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Paperless-ngx capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Paperless-ngx through natural language queries

Example Prompts for Paperless-ngx in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Paperless-ngx immediately.

01

"Search for all documents related to 'Electricity Bill' from 2023."

02

"Upload a new document titled 'Contract 2024' with tag ID 12."

03

"Get the full content and a preview of document ID 42."

Troubleshooting Paperless-ngx MCP Server with Vercel AI SDK

Common issues when connecting Paperless-ngx to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Paperless-ngx + Vercel AI SDK FAQ

Common questions about integrating Paperless-ngx MCP Server with Vercel AI SDK.

01

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.
02

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.
03

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.

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