# paperless-mcp

> paperless-mcp — subdavis-paperless-mcp. Use this tool when you need to manage documents in a paperless-ngx system using natural language commands. It enables search, retrieval, upload, and metadata management, solving document organization and retrieval challenges. The tool accepts natural language inputs and returns relevant documents or metadata, ideal for streamlining document workflows and improving productivity.

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

## Description

Enables interaction with a paperless-ngx document management system through MCP tools, allowing document search, retrieval, upload, and metadata management via natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zlx81bxisq)
- **Repository:** <https://github.com/subdavis/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": "subdavis-paperless-mcp"
    }
  }
}
```

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