Frappe MCP Server

Frappe MCP Server

Allows AI assistants to interact with Frappe applications through the official REST API, enabling document CRUD operations, schema handling, and detailed API instructions.

Category
Visit Server

README

Frappe MCP Server

A Model Context Protocol (MCP) server for Frappe Framework that exposes Frappe's functionality to AI assistants through the official REST API, with a focus on document CRUD operations, schema handling, and detailed API instructions.

Overview

This MCP server allows AI assistants to interact with Frappe applications through a standardized interface using the official Frappe REST API. It provides tools for:

  • Document operations (create, read, update, delete, list)
  • Schema and metadata handling
  • DocType discovery and exploration
  • Detailed API usage instructions and examples

The server includes comprehensive error handling, validation, and helpful responses to make it easier for AI assistants to work with Frappe.

Installation

Prerequisites

  • Node.js 18 or higher
  • A running Frappe instance (version 15 or higher)
  • API key and secret from Frappe (optional but recommended)

Setup

  1. Install via npm:
npm install -g frappe-mcp-server

Alternatively, run directly with npx:

npx frappe-mcp-server

(no installation needed)

Configuration

The server can be configured using environment variables:

  • FRAPPE_URL: The URL of your Frappe instance (default: http://localhost:8000)
  • FRAPPE_API_KEY: Your Frappe API key
  • FRAPPE_API_SECRET: Your Frappe API secret

Getting API Credentials

To get API credentials from your Frappe instance:

  1. Go to User > API Access > New API Key
  2. Select the user for whom you want to create the key
  3. Click "Generate Keys"
  4. Copy the API Key and API Secret

Usage

Starting the Server

npx frappe-mcp-server

Or with environment variables:

FRAPPE_URL=https://your-frappe-instance.com FRAPPE_API_KEY=your_api_key FRAPPE_API_SECRET=your_api_secret npx frappe-mcp-server

Integrating with AI Assistants

To use this MCP server with an AI assistant, you need to configure the assistant to connect to this server. The exact configuration depends on the AI assistant platform you're using.

For Claude, add the following to your MCP settings configuration file:

{
  "mcpServers": {
    "frappe": {
      "command": "npx",
      "args": ["frappe-mcp-server"], // Assumes frappe-mcp-server is in MCP server path
      "env": {
        "FRAPPE_URL": "https://your-frappe-instance.com",
        "FRAPPE_API_KEY": "your_api_key",
        "FRAPPE_API_SECRET": "your_api_secret"
      },
      "disabled": false,
      "alwaysAllow": []
    }
  }
}

Available Tools

Document Operations

  • create_document: Create a new document in Frappe
  • get_document: Retrieve a document from Frappe
  • update_document: Update an existing document in Frappe
  • delete_document: Delete a document from Frappe
  • list_documents: List documents from Frappe with filters

Schema Operations

  • get_doctype_schema: Get the complete schema for a DocType including field definitions, validations, and linked DocTypes
  • get_field_options: Get available options for a Link or Select field

Helper Tools

  • find_doctypes: Find DocTypes in the system matching a search term
  • get_module_list: Get a list of all modules in the system
  • get_doctypes_in_module: Get a list of DocTypes in a specific module
  • check_doctype_exists: Check if a DocType exists in the system
  • check_document_exists: Check if a document exists
  • get_document_count: Get a count of documents matching filters
  • get_naming_info: Get the naming series information for a DocType
  • get_required_fields: Get a list of required fields for a DocType
  • get_api_instructions: Get detailed instructions for using the Frappe API

Available Resources

Schema Resources

  • schema://{doctype}: Schema information for a DocType
  • schema://{doctype}/{fieldname}/options: Available options for a Link or Select field
  • schema://modules: List of all modules in the system
  • schema://doctypes: List of all DocTypes in the system

Examples

Creating a Document

// Example of using the create_document tool
const result = await useToolWithMcp("frappe", "create_document", {
  doctype: "Customer",
  values: {
    customer_name: "John Doe",
    customer_type: "Individual",
    customer_group: "All Customer Groups",
    territory: "All Territories",
  },
});

Getting a Document

// Example of using the get_document tool
const customer = await useToolWithMcp("frappe", "get_document", {
  doctype: "Customer",
  name: "CUST-00001",
  fields: ["customer_name", "customer_type", "email_id"], // Optional: specific fields
});

Listing Documents with Filters

// Example of using the list_documents tool with filters
const customers = await useToolWithMcp("frappe", "list_documents", {
  doctype: "Customer",
  filters: {
    customer_type: "Individual",
    territory: "United States",
  },
  fields: ["name", "customer_name", "email_id"],
  limit: 10,
  order_by: "creation desc",
});

Finding DocTypes

// Example of using the find_doctypes tool
const salesDocTypes = await useToolWithMcp("frappe", "find_doctypes", {
  search_term: "Sales",
  module: "Selling",
  is_table: false,
});

Getting Required Fields

// Example of using the get_required_fields tool
const requiredFields = await useToolWithMcp("frappe", "get_required_fields", {
  doctype: "Sales Order",
});

Getting API Instructions

// Example of using the get_api_instructions tool
const instructions = await useToolWithMcp("frappe", "get_api_instructions", {
  category: "DOCUMENT_OPERATIONS",
  operation: "CREATE",
});

Error Handling

The server provides detailed error messages with context to help diagnose issues:

  • Missing required parameters
  • Invalid field values
  • Permission errors
  • Network issues
  • Server errors

Each error includes:

  • A descriptive message
  • HTTP status code (when applicable)
  • Endpoint information
  • Additional details from the Frappe server

Best Practices

  1. Check DocType Schema First: Before creating or updating documents, get the schema to understand required fields and validations.

  2. Use Pagination: When listing documents, use limit and limit_start parameters to paginate results.

  3. Specify Fields: Only request the fields you need to improve performance.

  4. Validate Before Creating: Use get_required_fields to ensure you have all required fields before creating a document.

  5. Check Existence: Use check_document_exists before updating or deleting to ensure the document exists.

License

ISC

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured