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Frappe MCP Server: Secure AI Access & Enterprise Scalability - MCP Implementation

Frappe MCP Server: Secure AI Access & Enterprise Scalability

Frappe MCP Server: Secure, seamless AI access via Anthropic's protocol. Built for developers and enterprise scalability.

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About Frappe MCP Server

What is Frappe MCP Server: Secure AI Access & Enterprise Scalability?

Frappe MCP Server is a standardized interface that enables AI assistants to securely interact with Frappe Framework applications via the official REST API. It provides a bridge for automated workflows, empowering AI systems to perform document management, schema discovery, and data operations while maintaining enterprise-grade security and scalability.

How to use Frappe MCP Server: Secure AI Access & Enterprise Scalability?

Integration follows three core steps: installation, configuration, and API orchestration. Use npm or npx to deploy the server, set environment variables for your Frappe instance credentials, then leverage predefined tools like create_document or list_documents through AI assistant configurations such as Claude's MCP settings. Real-world scenarios include automating ERP workflows or building AI-driven data discovery systems.

Frappe MCP Server Features

Key Features of Frappe MCP Server: Secure AI Access & Enterprise Scalability?

  • Granular Document Control: Full CRUD operations with validation checks and naming series enforcement
  • Schema Intelligence: Metadata discovery including field constraints, linked entities, and module dependencies
  • Security Layer: Role-based access via Frappe API keys and automated error handling for invalid requests
  • Performance Optimizations: Pagination support, field filtering, and existence checks to prevent redundant operations

Use cases of Frappe MCP Server: Secure AI Access & Enterprise Scalability?

Typical implementations include:

  • Automating sales order creation based on NLP customer queries
  • Generating audit-ready reports through AI-driven data aggregation
  • Real-time inventory sync using predictive analytics models
  • Self-service portals powered by conversational AI for ERP interactions

Frappe MCP Server FAQ

FAQ from Frappe MCP Server: Secure AI Access & Enterprise Scalability?

  • Q: Does it support multi-tenant environments?
    Yes, through Frappe's built-in site management and role-based API keys
  • Q: How are errors handled?
    Returns JSON-formatted responses with HTTP status codes and detailed validation messages
  • Q: Can I extend the toolset?
    Custom tools can be added by modifying the server's schema definitions
  • Q: What's the performance overhead?
    Optimized for low-latency interactions with connection pooling and caching strategies

Content

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

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