# Frappe MCP Server

> Use this tool when you need to interact with Frappe Framework sites programmatically, solving problems such as data integration, reporting, and document management. It provides a secure API interface for creating, reading, updating, and deleting documents, with inputs including API requests and outputs including document data and reports. Ideal for use cases requiring automated access to Frappe sites, such as custom integrations, automation scripts, and data analytics.

Canonical page: https://skillsregistry.net/skills/appliedrelevance-frappe-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/appliedrelevance-frappe-mcp-server

## Description

Enables interaction with Frappe Framework sites through comprehensive document operations, schema introspection, report generation, and method execution. Provides secure API-based access to create, read, update, and delete Frappe documents while supporting financial reporting and DocType management.

## Trust

- **Trust score (0–1):** 0.93
- **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:** [Glama](https://glama.ai/mcp/servers/les6twm80k)
- **Repository:** <https://github.com/appliedrelevance/frappe-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": "appliedrelevance-frappe-mcp-server"
    }
  }
}
```

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