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PaperlessMCP

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A Model Context Protocol (MCP) server for Paperless-ngx document management

38 stars C#Others Updated Aug 30, 2026
documentsmcppaperless

Documentation

PaperlessMCP

Stop manually organizing your documents. Let AI do it.

Build Status
Latest Release
License: MIT

You've got a Paperless-ngx instance. You've got hundreds (thousands?) of documents. You *know* you should tag them, set correspondents, organize them properly. But who has time for that?

PaperlessMCP connects your Paperless-ngx to any MCP-compatible AI. Now instead of clicking through the UI, you just ask:

> "Find all my tax documents from 2023"

>

> "Tag these 50 invoices as 'Business Expense' and set the correspondent to 'Acme Corp'"

>

> "Upload this receipt and figure out what it is"

>

> "What documents am I missing from my insurance folder?"

It's Paperless-ngx on LLM steroids. An interface designed *specifically* for AI to manage your documents while you do literally anything else.


What Can AI Do With Your Paperless?

Everything. Full CRUD on every entity type:

You SayAI Does
"Find receipts from Amazon over $100"Searches documents with filters
"Tag all 2024 invoices as 'Tax Year 2024'"Bulk updates dozens of docs at once
"Upload this PDF and file it appropriately"Uploads, auto-tags, sets correspondent
"Delete all documents tagged 'Junk'"Removes with confirmation (dry-run by default)
"Create a tag for medical records, make it red"Creates tag with color
"Who sends me the most documents?"Lists correspondents by document count
"Set up a storage path for legal documents"Creates organized folder structure

43 tools covering:

  • Documents — search, upload, download, update, delete, bulk operations, OCR reprocessing
  • Tags — full CRUD with colors, matching rules, and hierarchical parents
  • Correspondents — track who sends you stuff
  • Document Types — classify invoices, receipts, contracts, whatever
  • Storage Paths — organize files with smart templates
  • Custom Fields — add your own metadata (dates, amounts, URLs, etc.)

All destructive operations require explicit confirmation. Bulk operations default to dry-run mode, so AI can't nuke your archive by accident.


Is PaperlessMCP Right For You?

Yes, if:

  • You run Paperless-ngx (self-hosted or cloud)
  • You use any AI assistant that speaks MCP (Claude, or anything else supporting the protocol)
  • You have a backlog of untagged documents and feel guilty about it
  • You'd rather say "organize this" than click 47 buttons
  • You want to query your documents in plain English
  • You think computers should work for you, not the other way around

No, if:

  • You don't use Paperless-ngx (this isn't a general document tool)
  • You enjoy manually tagging documents (weirdo, but respect)
  • You don't trust AI with your files (fair; destructive operations require confirmation, and bulk operations default to dry-run)

The sweet spot: You've got Paperless running, you've got an MCP-compatible AI, and you want them to be friends.


Getting Started

You'll Need

1. A Paperless-ngx instance with an API token

*(Settings → Django Admin → Tokens → Create one for your user)*

2. An MCP-compatible AI (Claude Desktop, or anything speaking the protocol)

The fastest path from zero to talking to your documents.

Latest Release
bash
docker run -d \
  --name paperless-mcp \
  --restart unless-stopped \
  -e PAPERLESS_BASE_URL=https://your-paperless.example.com \
  -e PAPERLESS_API_TOKEN=your-token-here \
  -p 5000:5000 \
  -v paperless-outbox:/home/mcp/outbox \
  ghcr.io/barryw/paperlessmcp:vX.Y.Z

> Grab the version from the badge above. The release pipeline also publishes `latest`, but pinning a versioned tag gives you a reproducible deployment.

Connect your MCP client to `http://localhost:5000/mcp` and start talking to your documents.

The `paperless-outbox` volume is where `paperless_documents_export_to_outbox` writes exported files. Without it the exports stay inside the container and no other process can reach them — see Sharing the outbox with another MCP server.

Option 2: Claude Desktop

Add to your config file:

OSPath
macOS`~/Library/Application Support/Claude/claude_desktop_config.json`
Windows`%APPDATA%\Claude\claude_desktop_config.json`
json
{
  "mcpServers": {
    "paperless": {
      "command": "dotnet",
      "args": ["run", "--project", "/path/to/PaperlessMCP/PaperlessMCP", "--", "--stdio"],
      "env": {
        "PAPERLESS_BASE_URL": "https://your-paperless.example.com",
        "PAPERLESS_API_TOKEN": "your-token-here"
      }
    }
  }
}

Restart Claude Desktop. Look for the tools icon — Paperless should be there.

Option 3: Claude Code

One command if you're already running the server somewhere:

bash
# Connect to a running Streamable HTTP server
claude mcp add --transport http paperless http://localhost:5000/mcp

Or run from source with stdio:

bash
claude mcp add --transport stdio paperless \
  -e PAPERLESS_BASE_URL=https://your-paperless.example.com \
  -e PAPERLESS_API_TOKEN=your-token-here \
  -- dotnet run --project /path/to/PaperlessMCP/PaperlessMCP -- --stdio

Verify it's there:

bash
claude mcp list

Option 4: LiteLLM Proxy

LiteLLM can register PaperlessMCP as a Streamable HTTP MCP server in `config.yaml`.

Start PaperlessMCP first using Docker, Kubernetes, or source, then add it to LiteLLM:

yaml
mcp_servers:
  paperless:
    url: "http://paperless-mcp:5000/mcp"
    transport: "http"
    description: "Paperless-ngx document management"

Use a URL that the LiteLLM process can reach. In Docker Compose, set the host to the PaperlessMCP service name from that Compose file, such as `paperless-mcp`. If LiteLLM runs directly on the host and PaperlessMCP publishes port 5000, use `http://127.0.0.1:5000/mcp`.

Set `transport: "http"` explicitly for PaperlessMCP's `/mcp` endpoint. LiteLLM's MCP config defaults to `sse`, which is the wrong transport for this endpoint.

`PAPERLESS_API_TOKEN` belongs on the PaperlessMCP service; it is the token PaperlessMCP uses when calling Paperless-ngx. PaperlessMCP does not require an inbound token on `/mcp` unless you put a separate auth layer, such as a reverse proxy, in front of it.

For LiteLLM database-backed MCP storage, enable database storage in LiteLLM:

yaml
general_settings:
  store_model_in_db: true

For static configuration, keep the server under the top-level `mcp_servers` key.

Option 5: Kubernetes

For the homelabbers running k8s. We include ready-to-use manifests with Kustomize support.

bash
# Clone and customize
git clone https://github.com/barryw/PaperlessMCP.git
cd PaperlessMCP/k8s

# Customize the checked-in manifests:
# - Set PAPERLESS_BASE_URL in secret.yaml.
# - Pin a versioned image tag in deployment.yaml.
# - The image is public, so remove imagePullSecrets unless your cluster
#   provides the referenced ghcr-secret.

# Create the API token secret (it is not managed by kustomization.yaml)
kubectl create secret generic paperless-token \
  --from-literal=token=your-api-token-here

# Deploy
kubectl apply -k .

See the manifests

Includes: Deployment, Service, Ingress, base-URL Secret, and Kustomization. Tweak to taste.

Option 6: From Source

For contributors and tinkerers:

bash
git clone https://github.com/barryw/PaperlessMCP.git
cd PaperlessMCP
dotnet run --project PaperlessMCP             # Streamable HTTP on :5000
dotnet run --project PaperlessMCP -- --stdio  # stdio mode

Requires .NET 10 SDK.


The Full Toolbox

43 tools, organized by what they touch. Every entity supports full CRUD.

Documents — the main event

ToolWhat it does
`paperless_documents_search`Find documents with full-text search and filters
`paperless_documents_get`Get a document by ID with all metadata
`paperless_documents_upload`Upload a document (base64)
`paperless_documents_upload_from_path`Upload from a file path
`paperless_documents_update`Update title, tags, correspondent, etc.
`paperless_documents_delete`Delete a document (requires confirmation)
`paperless_documents_bulk_update`Update multiple documents at once
`paperless_documents_download`Get download, preview and thumbnail URLs; optionally inline tiny files as base64
`paperless_documents_export_to_outbox`Write a document's file into the shared outbox directory so another tool can attach it by path
`paperless_documents_preview`Get preview URL
`paperless_documents_thumbnail`Get thumbnail URL
`paperless_documents_reprocess`Re-run OCR on a document

Tags — organize everything

ToolWhat it does
`paperless_tags_list`List all tags
`paperless_tags_get`Get a tag by ID
`paperless_tags_create`Create a tag with optional color, matching rules, and parent
`paperless_tags_update`Update a tag, including changing or clearing its parent
`paperless_tags_delete`Delete a tag
`paperless_tags_bulk_delete`Delete multiple tags

Correspondents — who sends you stuff

ToolWhat it does
`paperless_correspondents_list`List all correspondents
`paperless_correspondents_get`Get a correspondent by ID
`paperless_correspondents_create`Create with optional matching rules
`paperless_correspondents_update`Update a correspondent
`paperless_correspondents_delete`Delete a correspondent
`paperless_correspondents_bulk_delete`Delete multiple correspondents

Document Types — invoices, receipts, contracts...

ToolWhat it does
`paperless_document_types_list`List all document types
`paperless_document_types_get`Get a document type by ID
`paperless_document_types_create`Create with optional matching rules
`paperless_document_types_update`Update a document type
`paperless_document_types_delete`Delete a document type
`paperless_document_types_bulk_delete`Delete multiple document types

Storage Paths — where things live

ToolWhat it does
`paperless_storage_paths_list`List all storage paths
`paperless_storage_paths_get`Get a storage path by ID
`paperless_storage_paths_create`Create with path template
`paperless_storage_paths_update`Update a storage path
`paperless_storage_paths_delete`Delete a storage path
`paperless_storage_paths_bulk_delete`Delete multiple storage paths

Custom Fields — your own metadata

ToolWhat it does
`paperless_custom_fields_list`List all custom field definitions
`paperless_custom_fields_get`Get a custom field by ID
`paperless_custom_fields_create`Create a field (string, date, number, monetary, etc.)
`paperless_custom_fields_update`Update a field definition
`paperless_custom_fields_delete`Delete a field
`paperless_custom_fields_assign`Assign a field value to a document

Health — is it alive?

ToolWhat it does
`paperless_ping`Check connectivity and auth
`paperless_capabilities`List supported features

Configuration

Environment variables. That's it. No config files to manage.

VariableRequiredDefaultDescription
`PAPERLESS_BASE_URL`YesYour Paperless-ngx URL
`PAPERLESS_API_TOKEN`YesAPI token for authentication
`MCP_PORT``5000`Port for Streamable HTTP mode
`MCP_RELAX_ACCEPT_HEADER``false`Normalize `/mcp` POST `Accept` headers for clients that cannot send both Streamable HTTP media types
`MAX_PAGE_SIZE``100`Upper bound for paginated Paperless-ngx requests made by this server
`HTTP_TIMEOUT_SECONDS``30`Timeout for requests to Paperless-ngx. Raise it if large full-text searches time out
`PAPERLESS_OUTBOX_DIR``/home/mcp/outbox`Directory `paperless_documents_export_to_outbox` writes into. Mount it as a shared volume or the exports are unreachable outside the container

Aliases supported: `PAPERLESS_URL` and `PAPERLESS_TOKEN` also work if that's your style, and `OUTBOX_DIR` is accepted for `PAPERLESS_OUTBOX_DIR`.

Sharing the outbox with another MCP server

`paperless_documents_export_to_outbox` downloads a document server-side and writes it to `PAPERLESS_OUTBOX_DIR`, returning `{path, filename, mime_type, size_bytes}`. The point is that the bytes never travel through the model's context: another tool (a mail server that attaches files by path, say) reads the file directly.

That only works if both containers see the same directory. Mount one volume into both, and make sure the path the other server is told to read matches the path it sees:

yaml
services:
  paperless-mcp:
    image: ghcr.io/barryw/paperlessmcp:vX.Y.Z
    environment:
      PAPERLESS_BASE_URL: https://your-paperless.example.com
      PAPERLESS_API_TOKEN: your-token-here
      PAPERLESS_OUTBOX_DIR: /home/mcp/outbox
    ports:
      - "5000:5000"
    volumes:
      - outbox:/home/mcp/outbox

  some-other-mcp:
    image: example/other-mcp:latest
    volumes:
      - outbox:/home/mcp/outbox

volumes:
  outbox:

Two things to know before you rely on it:

  • Names carry the document id. A derived name gets the id inserted before the extension (`invoice.pdf` becomes `invoice_42.pdf`), so two documents whose file has the same name cannot overwrite each other. Re-exporting the same document replaces its own file. A `filename` you pass yourself is used as given, so repeated exports under one name do replace each other.
  • The archived version is named as such. With `original=false` (the default) Paperless serves the archived PDF, so the export is named after the archived file rather than after a `.jpg` or `.docx` original. Pass `original=true` to get the uploaded file under its own name.
  • Exports appear whole. The download is streamed to a temporary file in the outbox and renamed into place, so a reader on the other side of the volume never picks up a half-written file, and a symlink planted at the destination is replaced rather than written through.
  • The directory must be writable by the container user. The image runs as root unless you override it, so exports land in a bind mount owned by root — if the consuming container runs as a non-root user, set `PAPERLESS_OUTBOX_DIR` to a directory both can write, or fix the ownership yourself. The directory is created on first export, and a failure surfaces there rather than at startup.

LocalAI Compatibility

Streamable HTTP clients are expected to send `Accept: application/json, text/event-stream` on `/mcp` POST requests. Some clients cannot configure that header. Set `MCP_RELAX_ACCEPT_HEADER=true` to have PaperlessMCP normalize missing or incomplete `Accept` headers before the MCP SDK handles the request.


Support the Project

If PaperlessMCP saves you time, consider supporting development:

GitHub Sponsors
Ko-fi

Every bit helps keep the lights on and the commits flowing.


Contributing

Yes please. We use trunk-based development with conventional commits.

bash
git clone https://github.com/barryw/PaperlessMCP.git
cd PaperlessMCP
dotnet build
dotnet test

The rules:

  • Conventional commits (`feat:`, `fix:`, `docs:`, etc.) — versions bump automatically
  • Tests pass or it doesn't merge
  • Destructive operations need `confirm=true`; bulk operations default to dry-run

See CONTRIBUTING.md for the full rundown.


License

MIT — do whatever you want, just don't blame me.


Acknowledgments

  • Paperless-ngx — the document system that makes this worth building
  • Model Context Protocol — the glue between AI and everything else
  • Everyone who's ever felt guilty about their untagged documents

Frequently asked questions

What is PaperlessMCP?

PaperlessMCP is A Model Context Protocol (MCP) server for Paperless-ngx document management

How do I install PaperlessMCP?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is PaperlessMCP open source?

Yes — it is hosted on GitHub at https://github.com/barryw/PaperlessMCP and has 38 stars.

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