# erpnext-fast-mcp-server

> erpnext-fast-mcp-server — sppandita85-erpnext-fast-mcp-server. Use this tool when you need to interact with ERPNext data through natural language commands, enabling generic CRUD operations on documents, reports, and schema. It solves problems of data management and retrieval, allowing users to create, read, update, and delete data seamlessly. With inputs of natural language commands and outputs of updated ERPNext data, use it when integrating ERPNext with MCP tools for efficient data interaction.

Canonical page: https://skillsregistry.net/skills/sppandita85-erpnext-fast-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/sppandita85-erpnext-fast-mcp-server

## Description

Enables generic CRUD operations on ERPNext/Frappe DocTypes via MCP tools, allowing users to interact with ERPNext data like documents, reports, and schema through natural language commands.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a8m0gnw5pk)
- **Repository:** <https://github.com/sppandita85/erpnext-fast-mcp-server>

## 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": "sppandita85-erpnext-fast-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sppandita85-erpnext-fast-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sppandita85-erpnext-fast-mcp-server/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
