# paperless-mcp

> paperless-mcp — chrisguidry-paperless-mcp. Use this tool when you need to integrate AI-powered search capabilities into your paperless-ngx document archive, enabling full-text search, tag-based filtering, and correspondent-based retrieval. It solves problems of document discovery and retrieval, allowing AI assistants to efficiently locate and read specific documents within the archive. The tool accepts search queries as input and returns relevant document text and metadata as output.

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

## Description

A read-only MCP server for your paperless-ngx document archive that lets an AI assistant search documents by full text, tags, correspondents, and dates, and read the text of any document.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w4pcy97s76)
- **Repository:** <https://github.com/chrisguidry/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": "chrisguidry-paperless-mcp"
    }
  }
}
```

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