bench get-app https://github.com/vyogotech/frappe-mcp-server

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ERPNext MCP Server

AI-powered Model Context Protocol server for ERPNext and Frappe applications

Connect ERPNext and other Frappe-based apps with AI assistants through natural language. Use with Cursor IDE, Claude Desktop, Open WebUI, and more.

✨ Features

• 🤖 Natural Language Queries - Ask questions in plain English
• 🎯 Truly Generic LLM Support - Works with ANY OpenAI-compatible API
  • Ollama, OpenAI, Together.ai, Groq, OpenRouter, Replicate, LocalAI, LM Studio, etc.
  • Simple 3-field config: base_url, api_key, model
• 🔌 MCP Protocol - Standard protocol for AI tool integration
• 📊 Generic Tools - Works with ANY ERPNext doctype (standard or custom)
• 📈 Advanced Analytics 🆕 - Aggregations (SUM, COUNT, AVG, TOP N) and ERPNext reports
• 🔐 OAuth2 Authentication - Standard OAuth2 security with token caching
• 🔒 Privacy First - Local AI option with Ollama
• 🚀 Production Ready - Built with Go for performance

🚀 Quick Start

Option 1: Automated Install (Recommended for MCP)

# Install the STDIO binary for MCP clients (Cursor, Claude Desktop)
curl -fsSL https://raw.githubusercontent.com/vyogotech/frappe-mcp-server/main/install.sh | bash

This installs the MCP server binary to ~/.local/bin/frappe-mcp-server-stdio

Option 2: Manual Install

# 1. Download pre-built binary from releases
# Visit: https://github.com/vyogotech/frappe-mcp-server/releases/latest

# 2. Or build from source
git clone https://github.com/vyogotech/frappe-mcp-server
cd frappe-mcp-server
make build-stdio

# 3. Configure
cp config.yaml.example config.yaml
# Edit config.yaml with your Frappe/ERPNext credentials

📖 Documentation

Complete documentation: https://vyogotech.github.io/frappe-mcp-server/

Key guides: - Quick Start - Get running in 5 minutes - Authentication - sid cookie, OAuth2, and API key auth - Auth Quick Start - Set up auth in 5 minutes - Generic LLM Config - Simple 3-field config - LLM Providers - Ollama, OpenAI, Together.ai, Groq, etc. - Docker Deployment - Deploy with Docker Compose - API Reference - Complete API docs

💡 Usage Examples

Cursor IDE

@erpnext List all open projects
@erpnext Show me customer ABC-CORP
@erpnext What are the pending tasks?
@erpnext Show me top 5 customers by revenue  🆕
@erpnext Run Sales Analytics report  🆕

HTTP API

# Get documents
curl -X POST http://localhost:8080/api/v1/chat \
  -H "Content-Type: application/json" \
  -d '{"message": "Show me project PROJ-0001"}'

# Analytics 🆕
curl -X POST http://localhost:8080/api/v1/chat \
  -H "Content-Type: application/json" \
  -d '{"message": "top 10 customers by revenue in table format"}'

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "erpnext": {
      "command": "/path/to/bin/frappe-mcp-server-stdio",
      "args": ["--config", "/path/to/config.yaml"]
    }
  }
}

🏗️ Architecture

┌─────────────────┐
│   AI Clients    │
│ Cursor, Claude  │
└────────┬────────┘
         │ MCP Protocol
         ↓
┌─────────────────┐     ┌──────────────┐
│  ERPNext MCP    │────→│   Ollama     │
│     Server      │     │  (llama3.2)  │
└────────┬────────┘     └──────────────┘
         │
         └──────────────┐ REST API
                        ↓
                ┌─────────────────┐
                │    ERPNext      │
                │   (Frappe API)  │
                └─────────────────┘

🛠️ Prerequisites

• Go 1.24+
• ERPNext instance (local or remote)
• Ollama (optional, for AI features)

📋 Available Tools

• CRUD Operations: get_document, list_documents, create_document, update_document, delete_document
• Search: search_documents - Find documents by query, global_search - Cross-doctype full-text search
• Aggregation: aggregate_documents - SUM/COUNT/AVG/MIN/MAX with optional GROUP BY and TOP N
• Reports: run_report - Execute Frappe/ERPNext reports (Sales Analytics, Purchase Register, etc.)
• Analysis: analyze_document - Deep analysis with related documents (works with ANY doctype)

🤝 Contributing

Contributions welcome! See Development Guide.

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests
5. Submit a pull request

📄 License

MIT License - see LICENSE file for details.

🙏 Acknowledgments

• ERPNext - Open source ERP
• Model Context Protocol - AI integration standard
• Ollama - Local AI model serving
• Cursor - AI-powered IDE

📞 Support

• Documentation: GitHub Pages
• Issues: GitHub Issues
• Discussions: GitHub Discussions

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Made with ❤️ by the community