# Paperless-NGX MCP Server

> Use this tool when you need to manage and organize digital documents efficiently, solving problems such as tedious document searching and editing. It enables natural language interaction to perform tasks like searching, uploading, and bulk editing of documents, tags, and correspondents. Ideal for use cases where streamlined document management is crucial, with inputs including natural language queries and outputs including searched documents and edited metadata.

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

## Description

Enables managing Paperless-NGX documents, tags, correspondents, and document types via natural language. Supports document searching, downloading, uploading, and bulk editing.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n9y6rczmxx)
- **Repository:** <https://github.com/MephistoJB/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": "mephistojb-paperless-mcp"
    }
  }
}
```

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