# paperless-mcp

> paperless-mcp — tb1337-paperless-mcp. Use this tool when you need to manage and integrate large language models (LLMs) with a server, providing a paperless experience for LLMs to interact and share knowledge through git version control. It solves problems related to LLM collaboration, data management, and knowledge sharing. The tool accepts git inputs and outputs integrated LLM knowledge, ideal for use cases involving AI model development and training.

Canonical page: https://skillsregistry.net/skills/tb1337-paperless-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tb1337-paperless-mcp

## Description

Paperless-ngx MCP server. By an LLM, for LLMs!

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-29

## Source

- **Source listing:** [GitHub](https://github.com/tb1337/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": "tb1337-paperless-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tb1337-paperless-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tb1337-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