# paperless-mcp

> paperless-mcp — orellbuehler-paperless-mcp. Use this tool when you need to streamline document management and enable AI-powered search and organization. It solves problems of document clutter and disorganization by allowing AI agents to search, upload, tag, and categorize documents, with optional local semantic search capabilities. The tool accepts document uploads and queries as inputs and provides organized document libraries and search results as outputs.

Canonical page: https://skillsregistry.net/skills/orellbuehler-paperless-mcp  
JSON: https://api.skillsregistry.net/v1/skills/orellbuehler-paperless-mcp

## Description

MCP server for Paperless-ngx — lets AI agents like Claude search, upload, tag, and organize your documents, with optional local semantic search

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/OrellBuehler/paperless-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "orellbuehler-paperless-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/orellbuehler-paperless-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/orellbuehler-paperless-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt