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

Name: Paperless-ngx
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Paperless-ngx through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

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The Paperless-ngx MCP Server for Mastra AI 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

Vinkius delivers Streamable HTTP and SSE to any MCP client

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VS Code

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+ other MCP clients

typescript

import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

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

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Paperless-ngx Agent",
    instructions:
      "You help users interact with Paperless-ngx " +
      "using 26 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Paperless-ngx?"
  );
  console.log(result.text);
}

main();

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

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.

Mastra's agent abstraction provides a clean separation between LLM logic and Paperless-ngx tool infrastructure. Connect 26 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI

When Mastra AI 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 Mastra AI via MCP

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

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

Mastra discovers 26 tools from Paperless-ngx via MCP

Why Use Mastra AI with the Paperless-ngx MCP Server

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

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Paperless-ngx without touching business code

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

TypeScript-native: full type inference for every Paperless-ngx tool response with IDE autocomplete and compile-time checks

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Paperless-ngx + Mastra AI Use Cases

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

Automated workflows: build multi-step agents that query Paperless-ngx, process results, and trigger downstream actions in a typed pipeline

SaaS integrations: embed Paperless-ngx as a first-class tool in your product's AI features with Mastra's clean agent API

Background jobs: schedule Mastra agents to query Paperless-ngx on a cron and store results in your database automatically

Multi-agent systems: create specialist agents that collaborate using Paperless-ngx tools alongside other MCP servers

Example Prompts for Paperless-ngx in Mastra AI

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

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

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

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

Troubleshooting Paperless-ngx MCP Server with Mastra AI

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

createMCPClient not exported

Install: npm install @mastra/mcp

Paperless-ngx + Mastra AI FAQ

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

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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