Bring Digital Archive
to Mastra AI
Learn how to connect Paperless-ngx to Mastra AI and start using 26 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
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_documentswith 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 withdownload_document, or get instant visual context withpreview_documentandthumb_document. - Metadata Management — Organize your library by creating and updating tags, correspondents, and document types using dedicated tools like
create_tagorupdate_correspondent. - Deep Inspection — Fetch complete OCR text and metadata for any specific file using
get_documentto help your AI analyze contents. - Saved Views — Access your predefined filters and organizational structures with
list_saved_views.
How it works
- Subscribe to this server
- Provide your Paperless-ngx API URL and Personal API Token
- 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 a new correspondent
Create a new document type
Create a new saved view
Create a new tag
Delete a correspondent
Delete a document
Delete a document type
Delete a saved view
Delete a tag
Download the actual document file
Retrieve correspondent details
Retrieve details of a specific document
Retrieve document type details
Retrieve tag details
List all correspondents
List all document types
Supports filtering and searching via query parameters. List all documents in Paperless-ngx
List all saved views
List all tags
Get a preview of the document
Get the document thumbnail
Update a correspondent
Update document metadata
Update a document type
Update a tag
Upload a new document
Why Mastra AI?
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.
- —
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 in Mastra AI
Paperless-ngx and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Paperless-ngx to Mastra AI 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.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Paperless-ngx in Mastra AI
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 Mastra AI 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.
* 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
How Vinkius secures
Paperless-ngx for Mastra AI
Every tool call from Mastra AI to the Paperless-ngx MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
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.
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.
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.
createMCPClient not exported
Install: npm install @mastra/mcp
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