# paperware_mcp

> paperware_mcp — sadikhossainnub-paperware-mcp. Use this tool when you need to integrate AI agents with ERPNext or Frappe business systems to access and manipulate data, generate reports, and perform operations like document management and file uploads. It solves problems of data siloing and manual data transfer by enabling direct interaction with business data and operations. It takes in API requests and returns relevant data or operation results, with per-request permission enforcement to ensure secure access.

Canonical page: https://skillsregistry.net/skills/sadikhossainnub-paperware-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sadikhossainnub-paperware-mcp

## Description

Enables AI agents to directly interact with ERPNext/Frappe business data and operations, including document management, submissions, cancellations, reports, PDF generation, file uploads, and whitelisted method calls, with per-request permission enforcement.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ods5pn2m0a)
- **Repository:** <https://github.com/sadikhossainnub/paperware_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": "sadikhossainnub-paperware-mcp"
    }
  }
}
```

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