# paperless-mcp-go

> Use this tool when you need to manage and organize documents in your Paperless NGX instance, solving problems such as tedious manual editing and metadata updates. It allows you to search, read, and bulk edit documents and metadata, accepting inputs like document queries and edit commands, and outputting updated documents and metadata. Ideal for use cases where efficient document management and automation are required.

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

## Description

Search, read, (bulk) edit the documents and metadata in your Paperless NGX instance.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-04-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cfnls96rxn)
- **Repository:** <https://github.com/cbinckly/paperless-mcp-go>

## 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": "cbinckly-paperless-mcp-go"
    }
  }
}
```

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