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Start a free trial on cloud.anythingmcp.com, add the Paperless-ngx in one click, then point your AI client (Claude, ChatGPT, Copilot or Cursor) at the generated MCP endpoint. No Docker, no git clone, zero engineering experience required.
Summary
Paperless-ngx document management: full-text search over scanned documents, correspondents, document types, tags, storage paths and the OCR'd content of any document. REST API on your own instance, token auth.
Try asking
Example prompts for Paperless-ngx
Click any prompt to copy it. Paste into Claude, ChatGPT, Cursor, Gemini, Copilot or OpenClaw to run it against this connector.
Claude is AI and can make mistakes. Please double-check responses.
💡 No install? Use cloud.anythingmcp.com directly. Sign in, click Connectors → Paperless-ngx, paste your credentials, mint an MCP API key — done. No Docker, no
git clone, no local server.
Paperless-ngx + Microsoft Copilot
Paperless-ngx document management: full-text search over scanned documents, correspondents, document types, tags, storage paths and the OCR'd content of any document. REST API on your own instance, token auth.
Prerequisites
See the full setup instructions baked into the connector (visible in the in-app store when you select the connector). The required environment variables for this connector are:
PAPERLESS_URL, PAPERLESS_API_TOKEN
Step 1 — Get credentials
Getting a token
- Sign in to Paperless-ngx, open the user menu → My Profile, and copy the API Auth Token (create one if the field is empty).
- Put it in
PAPERLESS_API_TOKENand your instance's base URL inPAPERLESS_URL— no trailing slash and no/api, e.g.https://paperless.example.com.
The Authorization header is Token …, Django REST Framework's scheme — not Bearer. The adapter sends it correctly.
…(continued in the in-app connector instructions)
Step 2 — Install the adapter
curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d
Step 3 — Add the connector in Microsoft Copilot
Your server URL: in AnythingMCP, open MCP Servers → the server this connector is on, and copy its URL (
https://cloud.anythingmcp.com/mcp/…). Use it wherever this guide showsYOUR_SERVER_ID.
Microsoft Copilot uses MCP servers through agents built in Copilot Studio: you add AnythingMCP to an agent as a tool, then publish the agent to Microsoft 365 Copilot and Teams. Copilot Studio connects from Microsoft's cloud over Streamable HTTP, which AnythingMCP supports.
- In Copilot Studio, open your agent (or create one), go to Tools and choose Add a tool → New tool → Model Context Protocol.
- Enter a Server name (for example
AnythingMCP), a Server description that says what the connector does, and the Server URLhttps://cloud.anythingmcp.com/mcp/YOUR_SERVER_ID. Copilot Studio uses the description to decide when to call the server. - Under authentication, choose API key, set Type to Header and the header name to
X-API-Key, then select Create. - In Add tool, choose Create a new connection, paste an MCP API key from AnythingMCP (MCP Servers → your server → API keys) and select Add to agent.
- Try it in the agent's Test pane: ask for something that needs the
Paperless-ngxtools. - Select Publish, then Channels → Microsoft 365 and Microsoft Teams, keep Make agent available in Microsoft Copilot selected and choose Add channel. See agent in Teams installs it for you; in Microsoft 365 Copilot, type @ and pick the agent.
Prefer per-user sign-in? Choose OAuth 2.0 → Dynamic discovery instead of an API key: each user then signs in to AnythingMCP the first time the agent calls it.
Self-hosting? Use your instance's public HTTPS address instead of https://cloud.anythingmcp.com. Copilot Studio connects from Microsoft's cloud, so localhost does not work.
Available tools
| Tool | What it does |
|---|---|
paperless_ngx_search_documents | Full-text search across the OCR'd content of every document |
paperless_ngx_list_documents | List documents filtered by correspondent, document type, tag or creation date — the structured alternative to full-text search when you alre |
paperless_ngx_get_document | Read one document's metadata: title, correspondent, type, tags, created and added dates, archive serial number and the full OCR'd content |
paperless_ngx_get_document_metadata | Read the technical metadata of one document: original filename, media type, checksum, page count and any embedded PDF metadata |
paperless_ngx_list_correspondents | List correspondents — the senders documents are filed under — with their document count and matching rules |
paperless_ngx_list_document_types | List the document types configured in the instance (invoice, contract, payslip …) with their document counts |
paperless_ngx_list_tags | List tags with their colour, inbox flag and document count |
paperless_ngx_list_storage_paths | List the storage paths documents are filed into, with their path template and document count |
paperless_ngx_get_statistics | Read instance-wide statistics: total documents, documents in the inbox, character count and the breakdown by file type |
FAQ
Which Copilot is this for? Microsoft 365 Copilot at work, through agents built in Copilot Studio. The Microsoft Copilot app for personal accounts has no option to add your own MCP server.
What do I need? A work account with access to Copilot Studio (a license or a trial) to build the agent. People who use it in Microsoft 365 Copilot or Teams need access to the agent: share it with them, or ask an admin to publish it to the organization. If your organization applies data policies to Power Platform connectors, they cover MCP servers too.
The agent doesn't call the tools. Check that the header name is exactly X-API-Key and that the key belongs to the same MCP server as the URL, and make the server description specific: Copilot Studio uses it to decide when to call the server. Publish the agent again after each change; in an open chat, type "start over" to get the new version.
Next steps
- Connector landing page
- Connect to Claude
- Connect to ChatGPT
- Connect to Cursor
- Connect to Gemini
- Connect to Meta Muse
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