# Frappe Assistant Core

> Frappe Assistant Core — osamaasidd-frappe-assistant-core-mcp. Use this tool when you need to integrate large language models (LLMs) like Claude or ChatGPT with ERPNext sites, enabling natural language interactions for document management, searches, and workflows. It supports core functionalities like CRUD operations, report generation, and custom tool interactions while maintaining user permissions and logging. Ideal for automating tasks, enhancing user experience, and streamlining workflows in ERPNext environments.

Canonical page: https://skillsregistry.net/skills/osamaasidd-frappe-assistant-core-mcp  
JSON: https://api.skillsregistry.net/v1/skills/osamaasidd-frappe-assistant-core-mcp

## Description

MCP server that enables Claude, ChatGPT, and other LLMs to interact with ERPNext sites through natural language, supporting document CRUD, search, reports, workflows, and custom tools, while respecting user permissions and logging all calls.

## Trust

- **Trust score (0–1):** 0.56
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/smgvxho1nm)
- **Repository:** <https://github.com/OsamaASidd/Frappe-Assistant-Core-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": "osamaasidd-frappe-assistant-core-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/osamaasidd-frappe-assistant-core-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/osamaasidd-frappe-assistant-core-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