# PaperOffice Document AI

> Use this tool when you need to automate document processing, classification, and analysis with AI-powered capabilities. It solves problems related to data extraction, e-signatures, and knowledge graph creation, providing outputs such as classified documents, extracted data, and analytics insights through a secure interface using OAuth 2.1 or Bearer token authentication. Ideal for use cases involving large-scale document management and processing, where efficiency and accuracy are crucial.

Canonical page: https://skillsregistry.net/skills/paperoffice  
JSON: https://api.skillsregistry.net/v1/skills/paperoffice

## Description

Remote MCP server providing over 357 AI-powered tools for document processing, optical character recognition, intelligent document processing, e-signatures, knowledge graphs, document classification, and analytics. Supports OAuth 2.1 for Claude Desktop and Bearer token authentication for other clients via streamable HTTP transport.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/paperoffice)
- **Repository:** <https://github.com/paperoffice-ai/paperoffice-mcp-setup>

## 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": "paperoffice"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/paperoffice` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/paperoffice/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