paperless-mcp
An MCP server for Paperless-NGX that exposes tools to manage documents and metadata, notes, tags, correspondents, document types, custom fields, and mail accounts/rules.
List, query, search, and filter documents using full-text, custom-field, and Paperless query parameters; retrieve content, update metadata, upload, download, and get thumbnails.
Manage document notes: list, add, and delete notes with confirmation.
Bulk-edit documents: set metadata, modify tags/custom fields, set permissions/owner, delete, reprocess, merge, split, rotate, or delete pages.
CRUD and bulk operations for tags, correspondents, document types, and custom fields, including permissions and confirmed deletes.
Manage Paperless mail accounts and mail rules: list/get accounts, trigger processing, and create/update/delete rules.
Supports stdio and authenticated HTTP modes with per-request Bearer tokens, Docker deployment, and configurable Paperless API version/upload paths.
Offers a containerized deployment option for the MCP server, making it suitable for Docker environments when running in HTTP mode for remote usage.
Used for HTTP mode operation, enabling the MCP server to run as a web service that handles API requests through the Express framework.
Enables interaction with a Paperless-NGX API server, allowing management of documents, tags, correspondents, and document types. Supports document operations like searching, downloading, uploading, bulk editing, as well as creating and listing tags, correspondents, and document types.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@paperless-mcp search for documents containing 'invoice 2024'"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Paperless-NGX MCP Server
An MCP (Model Context Protocol) server for interacting with a Paperless-NGX API server. This server provides tools for managing documents, tags, correspondents, and document types in your Paperless-NGX instance.
Quick Start
Installation
Add these to your MCP config file:
// STDIO mode (recommended for local or CLI use)
"paperless": {
"command": "npx",
"args": [
"-y",
"@baruchiro/paperless-mcp@latest",
],
"env": {
"PAPERLESS_URL": "http://your-paperless-instance:8000",
"PAPERLESS_API_KEY": "your-api-token",
"PAPERLESS_PUBLIC_URL": "https://your-public-domain.com"
}
}// HTTP mode (recommended for Docker or remote use)
"paperless": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/baruchiro/paperless-mcp:latest",
],
"env": {
"PAPERLESS_URL": "http://your-paperless-instance:8000",
"PAPERLESS_API_KEY": "your-api-token",
"PAPERLESS_PUBLIC_URL": "https://your-public-domain.com"
}
}Get your API token:
Log into your Paperless-NGX instance
Click your username in the top right
Select "My Profile"
Click the circular arrow button to generate a new token
Replace the placeholders in your MCP config:
http://your-paperless-instance:8000with your Paperless-NGX URLyour-api-tokenwith the token you just generatedhttps://your-public-domain.comwith your public Paperless-NGX URL (optional, falls back to PAPERLESS_URL)
Environment Variables
Variable | Required | Default | Description |
| Yes | — | Base URL of your Paperless-NGX instance |
| Yes | — | API token from your Paperless-NGX profile |
| No |
| Public-facing URL for document links |
| No |
| Paperless-ngx REST API version. |
| No | — | Colon-separated list of allowed directories for |
That's it! Now you can ask Claude to help you manage your Paperless-NGX documents.
Example Usage
Here are some things you can ask Claude to do:
"Show me all documents tagged as 'Invoice'"
"Search for documents containing 'tax return'"
"Create a new tag called 'Receipts' with color #FF0000"
"Download document #123"
"List all correspondents"
"Create a new document type called 'Bank Statement'"
Related MCP server: paperless-mcp
Available Tools
Document Operations
list_documents
Get a paginated list of documents with simple filters. Use this for straightforward listing tasks. For full-text queries, structured custom field filtering, or advanced Paperless filters, use query_documents.
Parameters:
page (optional): Page number
page_size (optional): Number of documents per page
search (optional): Simple Paperless search term
correspondent (optional): Correspondent ID
document_type (optional): Document type ID
tag (optional): Tag ID
storage_path (optional): Storage path ID
created__date__gte (optional): Created date on or after YYYY-MM-DD
created__date__lte (optional): Created date on or before YYYY-MM-DD
ordering (optional): Paperless ordering field
archive_serial_number (optional): Archive serial number
archive_serial_number__isnull (optional): Whether the archive serial number is empty
custom_field_query (optional): Raw JSON-encoded Paperless custom field query string
custom_fields__icontains (optional): Case-insensitive substring match across custom field values
list_documents({
page: 1,
page_size: 25
})query_documents
Canonical document query tool. Supports full-text querying, simple Paperless search, custom field filters, and documented /api/documents/ Paperless query parameters.
Parameters:
page (optional): Page number
page_size (optional): Number of documents per page
ordering (optional): Paperless ordering field
query (optional): Full-text query string
search (optional): Simple Paperless search term
more_like_id (optional): Find documents similar to this document ID
correspondent (optional): Correspondent ID
document_type (optional): Document type ID
tag (optional): Tag ID
storage_path (optional): Storage path ID
created__date__gte (optional): Created date on or after YYYY-MM-DD
created__date__lte (optional): Created date on or before YYYY-MM-DD
custom_field_query (optional): Structured Paperless custom field query using
[field_name_or_id, operator, value]leaves or["AND" | "OR", [clause1, clause2]]groupspaperless_filters (optional): Additional documented
/api/documents/Paperless query parameters, passed as key/value pairs
// Full-text query
query_documents({
query: "invoice 2024"
})
// Simple search term
query_documents({
search: "acme"
})
// Custom field exact match
query_documents({
custom_field_query: ["Invoice Number", "exact", "12345"]
})
// Custom field empty
query_documents({
custom_field_query: ["OR", [
["Invoice Number", "isnull", true],
["Invoice Number", "exact", ""]
]]
})
// Custom field missing
query_documents({
custom_field_query: ["Invoice Number", "exists", false]
})
// Combined filters
query_documents({
query: "invoice",
tag: 5,
created__date__gte: "2024-01-01",
custom_field_query: ["Invoice Number", "exists", true]
})
// One documented Paperless filter that is not a first-class argument
query_documents({
paperless_filters: {
id__in: [101, 202, 303]
}
})get_document
Get a specific document by ID.
Parameters:
id: Document ID
get_document({
id: 123
})search_documents
Deprecated compatibility wrapper for full-text search. Prefer query_documents({ query: ... }) for new integrations.
Parameters:
query: Search query string
search_documents({
query: "invoice 2024"
})download_document
Download a document file by ID.
Parameters:
id: Document ID
original (optional): If true, downloads original file instead of archived version
download_document({
id: 123,
original: false
})get_document_thumbnail
Get a document thumbnail (image preview) by ID. Returns the thumbnail as a base64-encoded WebP image resource.
Parameters:
id: Document ID
get_document_thumbnail({
id: 123
})bulk_edit_documents
Perform bulk operations on multiple documents.
Parameters:
documents: Array of document IDs
method: One of:
set_correspondent: Set correspondent for documents
set_document_type: Set document type for documents
set_storage_path: Set storage path for documents
add_tag: Add a tag to documents
remove_tag: Remove a tag from documents
modify_tags: Add and/or remove multiple tags
delete: Delete documents
reprocess: Reprocess documents
set_permissions: Set document permissions
merge: Merge multiple documents
split: Split a document into multiple documents
rotate: Rotate document pages
delete_pages: Delete specific pages from a document
Additional parameters based on method:
correspondent: ID for set_correspondent
document_type: ID for set_document_type
storage_path: ID for set_storage_path
tag: ID for add_tag/remove_tag
add_tags: Array of tag IDs for modify_tags
remove_tags: Array of tag IDs for modify_tags
set_permissions: Object for set_permissions with view/change users and groups (
{"view": {"users": [], "groups": []}, "change": {...}}). Omitted actions/lists are left untouchedowner: User ID (or null to remove) for set_permissions. Unless merge is true, omitting owner clears the current owner
merge: Boolean for set_permissions — true adds to existing permissions and keeps the owner; false (default) replaces the listed users/groups
metadata_document_id: ID for merge to specify metadata source
delete_originals: Boolean for merge/split
pages: String for split "[1,2-3,4,5-7]" or delete_pages "[2,3,4]"
degrees: Number for rotate (90, 180, or 270)
Examples:
// Add a tag to multiple documents
bulk_edit_documents({
documents: [1, 2, 3],
method: "add_tag",
tag: 5
})
// Set correspondent and document type
bulk_edit_documents({
documents: [4, 5],
method: "set_correspondent",
correspondent: 2
})
// Merge documents
bulk_edit_documents({
documents: [6, 7, 8],
method: "merge",
metadata_document_id: 6,
delete_originals: true
})
// Split document into parts
bulk_edit_documents({
documents: [9],
method: "split",
pages: "[1-2,3-4,5]"
})
// Modify multiple tags at once
bulk_edit_documents({
documents: [10, 11],
method: "modify_tags",
add_tags: [1, 2],
remove_tags: [3, 4]
})
// Modify custom fields
bulk_edit_documents({
documents: [12, 13],
method: "modify_custom_fields",
add_custom_fields: [
{ field: 2, value: "year" }
],
remove_custom_fields: []
})
// Set an empty custom field value, e.g. a date field used as a pending marker
bulk_edit_documents({
documents: [14],
method: "modify_custom_fields",
add_custom_fields: [
{ field: 9, value: "" }
],
remove_custom_fields: []
})post_document
Upload a new document to Paperless-NGX.
Two upload modes:
Base64 mode (traditional): Provide
file(base64-encoded content) +filenameFilesystem mode (efficient): Provide
file_path(absolute path on server)
Security Note: When using file_path, set the PAPERLESS_MCP_UPLOAD_PATHS environment variable (colon-separated list of allowed directories) to restrict uploads to specific locations. Without this, any file on the server's filesystem could be uploaded.
Parameters:
file (optional): Base64 encoded file content. Either
fileorfile_pathrequired.file_path (optional): Absolute path to file on server's filesystem. Either
fileorfile_pathrequired.filename (optional): Name of the file. Required with
file, optional withfile_path(derives from path).title (optional): Title for the document
created (optional): DateTime when the document was created (e.g. "2024-01-19" or "2024-01-19 06:15:00+02:00")
correspondent (optional): ID of a correspondent
document_type (optional): ID of a document type
storage_path (optional): ID of a storage path
tags (optional): Array of tag IDs
archive_serial_number (optional): Archive serial number
custom_fields (optional): Array of custom field IDs
File size limit: 100MB for both modes
// Base64 mode (traditional)
post_document({
file: "base64_encoded_content",
filename: "invoice.pdf",
title: "January Invoice",
created: "2024-01-19",
correspondent: 1,
document_type: 2,
tags: [1, 3],
archive_serial_number: "2024-001",
custom_fields: [1, 2]
})
// Filesystem mode (more efficient for large files)
post_document({
file_path: "/var/uploads/invoice.pdf",
title: "January Invoice",
correspondent: 1,
document_type: 2,
tags: [1, 3]
})Document Notes
list_document_notes
List all notes attached to a document.
Parameters:
id: Document ID
list_document_notes({
id: 123
})create_document_note
Add a note to a document. Returns the document's full list of notes.
Parameters:
id: Document ID
note: The note text to add
create_document_note({
id: 123,
note: "Invoice paid on 2026-06-30 from Commerzbank account."
})delete_document_note
⚠️ Delete a single note from a document by its note ID. This operation is irreversible.
Parameters:
id: Document ID
note_id: The ID of the note to delete
confirm: Must be
trueto confirm this destructive operation
delete_document_note({
id: 123,
note_id: 5,
confirm: true
})Tag Operations
list_tags
Get all tags.
list_tags()create_tag
Create a new tag.
Parameters:
name: Tag name
color (optional): Hex color code (e.g. "#ff0000")
match (optional): Text pattern to match
matching_algorithm (optional): Number between 0 and 6: 0 - None 1 - Any word 2 - All words 3 - Exact match 4 - Regular expression 5 - Fuzzy word 6 - Automatic
create_tag({
name: "Invoice",
color: "#ff0000",
match: "invoice",
matching_algorithm: 5
})Storage Path Operations
list_storage_paths
List one page of storage paths, including IDs, names, path templates and matching rules. This is a read-only operation; it does not create paths or modify documents.
Optional parameters: page, page_size (positive integers), id, id__in (integer array), full_perms, ordering, and the icontains, iendswith, iexact, istartswith filters for name and path (e.g. name__icontains).
Returns the API pagination envelope (count, results, and available next, previous, all fields). Use page to request subsequent pages; matching algorithms retain their numeric API values.
list_storage_paths({ page: 1, page_size: 100, name__icontains: "Invoices" })Task Operations
list_tasks
List Paperless consumer-queue tasks, including uploads that failed to consume (unsupported file type, duplicate of an existing document, unreadable file). The failure reason is in each task's result.
Optional parameters: acknowledged (boolean), status (failure, pending, received, retry, revoked, started, success; sent in the casing Paperless 3.x expects, retried in uppercase for Paperless 2.x), task_name (consume_file, train_classifier, check_sanity, index_optimize), type (auto_task, scheduled_task, manual_task).
Returns the array of tasks as returned by Paperless (id, task_file_name, status, result, related_document, dates, acknowledged). task_file_name and related_document can be null for tasks that are not uploads.
On Paperless-ngx 2.14.7, which only supports up to API version 7 (set PAPERLESS_API_VERSION=7), the filters are ignored and acknowledged tasks are not returned.
list_tasks({ status: "failure", acknowledged: false })acknowledge_tasks
Mark tasks as acknowledged by their numeric IDs from list_tasks. This only sets the acknowledged flag; it does not delete or retry tasks.
Parameters:
tasks: Array of task IDs
Returns { "result": <number of tasks acknowledged> }.
acknowledge_tasks({ tasks: [12, 13] })Correspondent Operations
list_correspondents
Get all correspondents.
list_correspondents()create_correspondent
Create a new correspondent.
Parameters:
name: Correspondent name
match (optional): Text pattern to match
matching_algorithm (optional): Number between 0 and 6: 0 - None 1 - Any word 2 - All words 3 - Exact match 4 - Regular expression 5 - Fuzzy word 6 - Automatic
create_correspondent({
name: "ACME Corp",
match: "ACME",
matching_algorithm: 5
})Document Type Operations
list_document_types
Get all document types.
list_document_types()create_document_type
Create a new document type.
Parameters:
name: Document type name
match (optional): Text pattern to match
matching_algorithm (optional): Number between 0 and 6: 0 - None 1 - Any word 2 - All words 3 - Exact match 4 - Regular expression 5 - Fuzzy word 6 - Automatic
create_document_type({
name: "Invoice",
match: "invoice total amount due",
matching_algorithm: 1
})Custom Field Operations
list_custom_fields
Get all custom fields.
list_custom_fields()get_custom_field
Get a specific custom field by ID.
Parameters:
id: Custom field ID
get_custom_field({
id: 1
})create_custom_field
Create a new custom field.
Parameters:
name: Custom field name
data_type: One of "string", "url", "date", "boolean", "integer", "float", "monetary", "documentlink", "select"
extra_data (optional): Extra data for the custom field, such as select options
create_custom_field({
name: "Invoice Number",
data_type: "string"
})update_custom_field
Update an existing custom field.
Parameters:
id: Custom field ID
name (optional): New custom field name
data_type (optional): New data type
extra_data (optional): Extra data for the custom field
update_custom_field({
id: 1,
name: "Updated Invoice Number",
data_type: "string"
})delete_custom_field
Delete a custom field.
Parameters:
id: Custom field ID
delete_custom_field({
id: 1
})bulk_edit_custom_fields
Perform bulk operations on multiple custom fields.
Parameters:
custom_fields: Array of custom field IDs
operation: One of "delete"
bulk_edit_custom_fields({
custom_fields: [1, 2, 3],
operation: "delete"
})Mail Operations
Tools for managing Paperless mail accounts and the mail rules that drive automatic email ingestion. Account passwords/tokens are never exposed: they are redacted from every tool response.
list_mail_accounts
List mail accounts so you can pick the account ID needed when creating a mail rule. Passwords are redacted.
Parameters:
page (optional): Page number
page_size (optional): Number of results per page
list_mail_accounts()get_mail_account
Get a single mail account by ID. Password/token fields are redacted.
Parameters:
id: Mail account ID
get_mail_account({
id: 1
})process_mail_account
Manually trigger Paperless mail processing for one account. This can consume matching mails according to the account's enabled mail rules.
Parameters:
id: Mail account ID
process_mail_account({
id: 1
})list_mail_rules
List mail rules with optional pagination.
Parameters:
page (optional): Page number
page_size (optional): Number of results per page
list_mail_rules()get_mail_rule
Get a single mail rule by ID.
Parameters:
id: Mail rule ID
get_mail_rule({
id: 1
})create_mail_rule
Create a mail rule. Use list_mail_accounts first to choose the account.
Required parameters:
name: Rule name
account: Mail account ID
folder: IMAP folder to scan (e.g. "INBOX")
Common optional parameters:
enabled (default true): Whether the rule is active
filter_from / filter_to / filter_subject / filter_body: Match incoming mail
maximum_age: Only process mail newer than this many days
action: 1=Delete, 2=Move to folder, 3=Mark as read, 4=Flag, 5=Tag
action_parameter: Target folder/tag for the chosen action
assign_title_from: 1=Subject, 2=Attachment filename, 3=Do not assign
assign_tags / assign_correspondent / assign_document_type: Metadata to apply
assign_correspondent_from: 1=None, 2=Mail address, 3=Sender name, 4=Use assign_correspondent
attachment_type: 1=Attachments only, 2=All files incl. inline
consumption_scope: 1=Attachments only, 2=Full mail as .eml, 3=Both
pdf_layout: 0=System default, 1=Text+HTML, 2=HTML+text, 3=HTML only, 4=Text only
create_mail_rule({
name: "Invoices",
account: 1,
folder: "INBOX",
filter_subject: "invoice",
action: 3,
attachment_type: 1
})update_mail_rule
Patch an existing mail rule. Only the fields you supply are changed.
Parameters:
id: Mail rule ID
...any of the
create_mail_rulefields to update
update_mail_rule({
id: 1,
enabled: false
})delete_mail_rule
Delete a mail rule. Requires an explicit confirmation flag. This changes future mail ingestion behavior but does not delete any existing documents.
Parameters:
id: Mail rule ID
confirm: Must be
trueto confirm deletion
delete_mail_rule({
id: 1,
confirm: true
})Error Handling
The server will show clear error messages if:
The Paperless-NGX URL or API token is incorrect
The Paperless-NGX server is unreachable
The requested operation fails
The provided parameters are invalid
Testing
Unit tests
Run the unit test suite (no external dependencies required):
npm testE2E tests
The E2E suite boots an empty Paperless-ngx instance, runs the compiled MCP server, and drives a deterministic serial scenario through tools/call requests — creating a tag, correspondent, and document type, uploading a PDF, then exercising list / get / search / download / thumbnail / bulk-edit on the same document. No LLM and no Paperless REST client outside MCP.
Prerequisites: Docker, Docker Compose, and jq.
# 1. Build the MCP server
npm run build
# 2. Start Paperless-ngx
docker compose -f docker-compose.e2e.yml up -d
# 3. Wait for Paperless to be ready, then get a token
TOKEN=$(curl -s -X POST http://localhost:8000/api/token/ \
-H 'Content-Type: application/json' \
-d '{"username":"admin","password":"admin123"}' | jq -r '.token')
# 4. Start the MCP server
node build/index.js --http --port 3001 \
--baseUrl http://localhost:8000 --token "$TOKEN" &
MCP_PID=$!
# 5. Run the E2E tests
MCP_URL=http://localhost:3001/mcp \
PAPERLESS_URL=http://localhost:8000 \
PAPERLESS_TOKEN="$TOKEN" \
npm run test:e2e
# 6. Cleanup
kill "$MCP_PID"
docker compose -f docker-compose.e2e.yml down -vE2E tests also run automatically in CI on every pull request and push to main, covering both the build/index.js CLI and the published Docker image.
Development
Want to contribute or modify the server? Here's what you need to know:
Clone the repository
Install dependencies:
npm installMake your changes to server.js
Test locally:
node server.js http://localhost:8000 your-test-tokenThe server is built with:
API Documentation
This MCP server implements endpoints from the Paperless-NGX REST API. For more details about the underlying API, see the official documentation.
Running the MCP Server
The MCP server can be run in two modes:
1. stdio (default)
This is the default mode. The server communicates over stdio, suitable for CLI and direct integrations.
npm run start -- <baseUrl> <token>2. HTTP (Streamable HTTP Transport)
To run the server as an HTTP service, use the --http flag. You can also specify the port with --port (default: 3000). This mode requires Express to be installed (it is included as a dependency).
npm run start -- <baseUrl> <token> --http --port 3000The MCP API will be available at
POST /mcpon the specified port.Each request is handled statelessly, following the StreamableHTTPServerTransport pattern.
GET and DELETE requests to
/mcpwill return 405 Method Not Allowed.
Per-request API token (HTTP/Docker mode)
In HTTP mode, clients authenticate by supplying a Paperless-NGX API token via the standard Authorization header:
Authorization: Bearer <paperless-ngx-api-token>The token is passed straight through to Paperless-NGX, so each client's own Paperless permissions are enforced end-to-end. This lets a single server instance serve multiple users, each with their own token. The same behaviour applies to both /mcp and /sse endpoints.
⚠️ Breaking change in v2.0.0 — HTTP mode is now authenticated by default.
Previously, a request with no
Authorizationheader silently fell back to the server-configuredPAPERLESS_API_KEY, which left the HTTP endpoint open to anyone who could reach the port. As of v2.0.0, requests without aBearertoken are rejected with401 Unauthorized. The server token is never used for unauthenticated requests unless you explicitly opt in with--no-auth.
Scenario |
|
|
Client sends |
|
|
No header, |
| server token |
No header, no server token |
|
|
Migrating from v1.x: if you relied on the old fallback (a single shared PAPERLESS_API_KEY with clients that don't send a token), you have two options:
Recommended: have each client send
Authorization: Bearer <paperless-token>.Restore the old behaviour (trusted/local networks only): start the server with the
--no-authflag, e.g. append it to the Dockercommand/args or your CLI invocation. This requires a server token (PAPERLESS_API_KEYor--token) to be configured.
The MCP server can be deployed using Docker and Docker Compose. The Docker image automatically runs in HTTP mode with SSE (Server-Sent Events) support on port 3000.
Docker Compose Configuration
Create a docker-compose.yml file:
services:
paperless-mcp:
container_name: paperless-mcp
image: ghcr.io/baruchiro/paperless-mcp:latest
environment:
- PAPERLESS_URL=http://your-paperless-ngx-server:8000
- PAPERLESS_API_KEY=your-paperless-api-key
- PAPERLESS_PUBLIC_URL=https://paperless-ngx.yourpublicurl.com
ports:
- "3000:3000"
restart: unless-stoppedThen run:
docker-compose up -dUsing with Continue VS Code Extension
If you're using the Continue VS Code extension, you can configure it to use the Dockerized MCP server via SSE.
Create or edit .continue/mcpServers/paperless-mcp.yaml at your workspace root:
name: Paperless
version: 0.0.1
schema: v1
mcpServers:
- name: Paperless
type: sse
url: http://localhost:3000/sseNotes:
Replace
localhostwith your Docker host's IP address or hostname if running on a remote serverThe Docker container handles authentication via environment variables, so no credentials are needed in the Continue config
The SSE endpoint is available at
/sseon the configured port (default: 3000)
Credits
This project is a fork of nloui/paperless-mcp. Many thanks to the original author for their work. Contributions and improvements may be returned upstream.
Debugging
To debug the MCP server in VS Code, use the following launch configuration:
{
"type": "node",
"request": "launch",
"name": "Debug Paperless MCP (HTTP, ts-node ESM)",
"program": "${workspaceFolder}/node_modules/ts-node/dist/bin.js",
"args": [
"--esm",
"src/index.ts",
"--http",
"--baseUrl",
"http://your-paperless-instance:8000",
"--token",
"your-api-token",
"--port",
"3002"
],
"env": {
"NODE_OPTIONS": "--loader ts-node/esm",
},
"console": "integratedTerminal",
"skipFiles": [
"<node_internals>/**"
]
}Important: Before debugging, uncomment the following line in src/index.ts (around line 175):
// await new Promise((resolve) => setTimeout(resolve, 1000000));This prevents the server from exiting immediately and allows you to set breakpoints and debug the code.
Available Tools
44 toolsbulk_edit_correspondentsC
Bulk edit correspondents. ⚠️ WARNING: 'delete' operation permanently removes correspondents from the entire system.
Inputs: operation (required), correspondent_ids (required), merge, owner, +2 more.
bulk_edit_custom_fieldsB
Bulk edit custom fields. ⚠️ WARNING: 'delete' operation permanently removes custom fields from the entire system.
Inputs: operation (required), custom_fields (required), confirm.
bulk_edit_documentsB
Perform bulk operations on multiple documents. Note: 'remove_tag' removes a tag from specific documents (tag remains in system), while 'delete_tag' permanently deletes a tag from the entire system. ⚠️ WARNING: 'delete' method permanently deletes documents and requires confirmation.
Inputs: method (required), documents (required), tag, merge, +14 more.
bulk_edit_document_typesB
Bulk edit document types. ⚠️ WARNING: 'delete' operation permanently removes document types from the entire system.
Inputs: operation (required), document_type_ids (required), merge, owner, +2 more.
bulk_edit_tagsC
Bulk edit tags. ⚠️ WARNING: 'delete' operation permanently removes tags from the entire system. Use with caution.
Inputs: tag_ids (required), operation (required), merge, owner, +2 more.
create_correspondentC
Create a new correspondent with optional matching pattern and algorithm for automatic document assignment.
Inputs: name (required), match, matching_algorithm.
create_custom_fieldC
Create a new custom field with a specified data type (string, url, date, boolean, integer, float, monetary, documentlink, or select). For monetary fields, values must use currency code prefix format (e.g., USD10.00, GBP123.45) — NOT trailing symbol format (e.g., 10.00$).
Inputs: name (required), data_type (required), extra_data.
create_document_noteA
Add a note to a document. Use this to record an audit trail or progress note directly on the document. Returns the document's full list of notes after the note is added.
Inputs: id (required), note (required).
create_document_typeC
Create a new document type with optional matching pattern and algorithm for automatic document classification.
Inputs: name (required), match, matching_algorithm.
create_mail_ruleB
Create a Paperless mail rule. Use list_mail_accounts first to choose account. Prefer attachment-only rules for invoices unless the full mail must be archived.
Inputs: name (required), folder (required), account (required), order, +20 more.
create_tagC
Create a new tag with optional color, matching pattern, and matching algorithm for automatic document tagging.
Inputs: name (required), color, match, matching_algorithm.
delete_correspondentA
⚠️ DESTRUCTIVE: Permanently delete a correspondent from the entire system. This will affect ALL documents that use this correspondent.
Inputs: id (required), confirm (required).
delete_custom_fieldA
⚠️ DESTRUCTIVE: Permanently delete a custom field from the entire system. This will remove the field from ALL documents that use it.
Inputs: id (required), confirm (required).
delete_document_noteA
⚠️ DESTRUCTIVE: Permanently delete a single note from a document by its note ID. This operation is irreversible. Returns the document's remaining notes.
Inputs: id (required), confirm (required), note_id (required).
delete_document_typeB
⚠️ DESTRUCTIVE: Permanently delete a document type from the entire system. This will affect ALL documents that use this type.
Inputs: id (required), confirm (required).
delete_mail_ruleB
Delete one Paperless mail rule. This changes future mail ingestion behavior but does not delete documents.
Inputs: id (required), confirm (required).
delete_tagA
⚠️ DESTRUCTIVE: Permanently delete a tag from the entire system. This will remove the tag from ALL documents that use it. Use with extreme caution.
Inputs: id (required), confirm (required).
download_documentB
Download a document file by ID. Returns a paperless:// resource URI; read the resource to fetch the file content.
Inputs: id (required), original.
get_correspondentA
Get a specific correspondent by ID with full details including matching rules.
Inputs: id (required).
get_custom_fieldB
Get a specific custom field by ID with full details including data type and extra configuration.
Inputs: id (required).
get_documentA
Get a specific document by ID with full details including correspondent, document type, tags, and custom fields. Note: Document content is excluded from results by default. Use 'get_document_content' to retrieve content when needed.
Inputs: id (required).
get_document_contentA
Get the text content of a specific document by ID. Use this when you need to read or analyze the actual document text.
Inputs: id (required).
get_document_thumbnailB
Get a document thumbnail (image preview) by ID. Returns a paperless:// resource URI; read the resource to fetch the image content.
Inputs: id (required).
get_document_typeB
Get a specific document type by ID with full details including matching rules.
Inputs: id (required).
get_mail_accountA
Get one Paperless mail account by ID. Password/token fields are redacted if the server returns them.
Inputs: id (required).
get_mail_ruleB
Get one Paperless mail rule by ID.
Inputs: id (required).
list_correspondentsC
List all correspondents with optional filtering and pagination. Correspondents represent entities that send or receive documents.
Inputs: page, ordering, page_size, name__iexact, +3 more.
list_custom_fieldsA
List all custom fields. IMPORTANT: When a user query may refer to a custom field, you should fetch all custom fields up front (with a large enough page_size), cache them for the session, and search locally for matches by name before making further API calls. This reduces redundant requests and handles ambiguity efficiently.
Inputs: page, ordering, page_size, name__iexact, +3 more.
list_document_notesA
List all notes attached to a document. Notes are free-text comments on a document and are the natural place for an audit trail (e.g. "invoice paid on X from account Y") or progress notes on an action item.
Inputs: id (required).
list_documentsA
List and filter documents with pagination and common Paperless filters such as title search, correspondent, document type, tag, storage path, creation date, archive serial number, and simple custom field filters. Use 'query_documents' for full-text query, structured custom field conditions, or advanced documented /api/documents/ query parameters. IMPORTANT: For queries like 'the last 3 contributions' or when searching by tag, correspondent, document type, or storage path, first use the relevant lookup tool to find the correct ID. Note: Document content is excluded from results by default. Use 'get_document_content' when you need the document text.
Inputs: tag, page, search, ordering, +10 more.
list_document_typesA
List all document types. IMPORTANT: When a user query may refer to a document type or tag, you should fetch all document types and all tags up front (with a large enough page_size), cache them for the session, and search locally for matches by name or slug before making further API calls. This reduces redundant requests and handles ambiguity between tags and document types efficiently.
Inputs: page, ordering, page_size, name__iexact, +3 more.
list_mail_accountsB
List Paperless mail accounts for selecting the account ID needed by mail rules. Does not expose account passwords.
Inputs: page, page_size.
list_mail_rulesC
List Paperless mail rules with optional pagination.
Inputs: page, page_size.
list_tagsB
List all tags. IMPORTANT: When a user query may refer to a tag or document type, you should fetch all tags and all document types up front (with a large enough page_size), cache them for the session, and search locally for matches by name or slug before making further API calls. This reduces redundant requests and handles ambiguity between tags and document types efficiently.
Inputs: page, ordering, page_size, name__iexact, +3 more.
post_documentA
Upload a new document to Paperless-NGX with optional metadata like title, correspondent, document type, tags, and custom fields. Provide either 'file' (base64-encoded content) or 'file_path' (absolute path to a file on the server's filesystem). Using file_path avoids base64 encoding overhead for large files. SECURITY: When using file_path, set PAPERLESS_MCP_UPLOAD_PATHS environment variable to restrict uploads to specific directories (colon-separated paths).
Inputs: file, tags, title, created, +7 more.
process_mail_accountB
Manually run Paperless mail processing for one account. This can consume matching mails according to enabled Paperless mail rules.
Inputs: id (required).
query_documentsA
Query documents using the full-text query engine plus structured Paperless filters. Use this for complex filtering, custom field conditions, or any documented /api/documents/ query parameters that are not exposed as first-class arguments. Prefer the dedicated top-level arguments where available. custom_field_query supports [field_name_or_id, operator, value] leaves or ['AND'|'OR', [clause1, clause2]] groups. Note: Document content is excluded from results by default. Use 'get_document_content' when you need the document text.
Inputs: tag, page, query, search, +13 more.
search_documentsA
Deprecated compatibility wrapper for full-text document search. Use 'query_documents' with the 'query' argument for new integrations. Note: Document content is excluded from results by default. Use 'get_document_content' to retrieve content when needed.
Inputs: query (required).
update_correspondentC
Update an existing correspondent's name, matching pattern, or matching algorithm.
Inputs: id (required), name (required), match, matching_algorithm.
update_custom_fieldC
Update an existing custom field's name, data type, or extra configuration data.
Inputs: id (required), name, data_type, extra_data.
update_documentA
Update a specific document with new values (title, correspondent, document type, storage path, tags, custom fields, and more). Top-level fields you omit are left unchanged. IMPORTANT: custom_fields is the exception — see its parameter description; it replaces the document's entire custom-field set.
Inputs: id (required), tags, owner, title, +7 more.
update_document_typeC
Update an existing document type's name, matching pattern, or matching algorithm.
Inputs: id (required), name (required), match, matching_algorithm.
update_mail_ruleB
Patch an existing Paperless mail rule. Only supplied fields are changed.
Inputs: id (required), name, order, owner, +21 more.
update_tagC
Update an existing tag's name, color, matching pattern, or matching algorithm.
Inputs: id (required), name (required), color, match, +1 more.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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TDQS
Scored across 44 tools
Most tools target a distinct resource+action, and descriptions clearly differentiate get_document (metadata) vs get_document_content vs get_document_thumbnail vs download_document. However, the document-listing trio (list_documents, query_documents, and the deprecated search_documents) overlaps, forcing the agent to reason about which to pick even though the descriptions do explain the boundary.
The set follows a strong verb_noun convention (list_/get_/create_/update_/delete_/bulk_edit_ + resource) applied uniformly across tags, correspondents, document types, and custom fields. The only notable deviation is post_document (instead of create_document), a minor inconsistency in an otherwise predictable scheme.
At 44 tools this is heavy, well above the typical 3-15 sweet spot, though the breadth is partly justified by six distinct resource domains (documents, tags, correspondents, document types, custom fields, mail). Repetition such as five near-identical bulk_edit_* tools and the deprecated search_documents adds weight without fully earning its place.
The surface is comprehensive: full CRUD plus bulk operations across all major entities, document content/thumbnail/download, notes, and mail accounts/rules. Minor gaps remain—storage paths are referenced as filters but have no management tools, and single-document deletion is only reachable through bulk_edit_documents' 'delete' method.
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