ERPNext MCP Server

ERPNext MCP Server

Enables comprehensive interaction with ERPNext systems through natural language, providing secure access to any document type (customers, items, invoices, etc.) with enterprise-grade permission controls and audit logging.

Category
Visit Server

README

ERPNext MCP Server

A comprehensive Model Context Protocol (MCP) server for ERPNext that provides generic, doctype-agnostic access to any ERPNext document type with robust permission controls, audit logging, and enterprise-grade security.

🏗️ Architecture Overview

graph TB
    A[Claude/LLM Client] --> B[MCP Protocol]
    B --> C[ERPNext MCP Server]
    C --> D[Permission Manager]
    C --> E[ERPNext Client]
    C --> F[Cache Manager]
    C --> G[Rate Limiter]
    E --> H[ERPNext API]
    D --> I[Audit Logger]
    
    subgraph "Permission System"
        D --> J[Doctype Permissions]
        D --> K[Field-Level Control]
        D --> L[Operation Validation]
        D --> M[Condition Checking]
    end
    
    subgraph "ERPNext Integration"
        E --> N[Generic CRUD]
        E --> O[Search & Filter]
        E --> P[Schema Discovery]
    end

Core Components

  • 🔧 Generic Client: Works with any ERPNext doctype (Customer, Item, Sales Order, etc.)
  • 🛡️ Permission System: Multi-layer access control with field-level restrictions
  • 📊 Audit System: Comprehensive logging of all operations
  • ⚡ Performance: Built-in caching and rate limiting
  • 🔍 Discovery: Dynamic tool generation based on configured doctypes

🚀 Quick Start

1. Installation

# Clone/create project
mkdir erpnext_mcp_server && cd erpnext_mcp_server

# Create virtual environment
python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate

# Install dependencies
pip install mcp httpx pydantic python-dotenv typing-extensions

2. Configuration

Create config/config.json:

{
  "erpnext": {
    "url": "https://your-erpnext-instance.com",
    "api_key": "your_api_key",
    "api_secret": "your_api_secret"
  },
  "permissions": {
    "doctypes": {
      "Customer": {
        "read": true,
        "create": true,
        "update": true,
        "delete": false,
        "allowed_fields": ["customer_name", "email_id", "mobile_no"],
        "conditions": {
          "create": {"customer_type": ["Company", "Individual"]}
        }
      }
    }
  }
}

3. Run Server

python -m src.server

🔐 Permission Model

Multi-Layer Security Architecture

The permission system operates on four security layers:

1. Operation-Level Permissions

{
  "Customer": {
    "read": true,     // Allow reading customers
    "create": true,   // Allow creating customers  
    "update": true,   // Allow updating customers
    "delete": false   // Deny deleting customers
  }
}

2. Field-Level Access Control

{
  "Customer": {
    "allowed_fields": [
      "customer_name", "email_id", "mobile_no", "website"
    ],
    "restricted_fields": [
      "creation", "modified", "owner", "credit_limit"
    ]
  }
}

3. Conditional Validation

{
  "Customer": {
    "conditions": {
      "create": {
        "customer_type": ["Company", "Individual"],
        "territory": ["Egypt", "UAE", "Saudi Arabia"]
      },
      "update": {
        "status": {"not_in": ["Disabled", "Blocked"]}
      }
    }
  }
}

4. Audit & Monitoring

{
  "audit": {
    "enabled": true,
    "log_file": "logs/audit.log",
    "retention_days": 30
  }
}

Permission Examples

Restrictive Configuration (Read-only analyst)

{
  "permissions": {
    "doctypes": {
      "Customer": {
        "read": true,
        "create": false,
        "update": false,
        "delete": false,
        "allowed_fields": ["name", "customer_name", "territory", "customer_group"]
      },
      "Sales Invoice": {
        "read": true,
        "create": false,
        "update": false,
        "delete": false,
        "allowed_fields": ["name", "customer", "total", "status", "posting_date"]
      }
    }
  }
}

Operational Configuration (Sales user)

{
  "permissions": {
    "doctypes": {
      "Customer": {
        "read": true,
        "create": true,
        "update": true,
        "delete": false,
        "allowed_fields": [
          "customer_name", "customer_type", "email_id", "mobile_no",
          "customer_group", "territory", "website"
        ],
        "conditions": {
          "create": {"customer_type": ["Company", "Individual"]},
          "update": {"status": {"not_in": ["Disabled"]}}
        }
      }
    }
  }
}

🛠️ Available Tools & Usage

System Tools

test_connection

Test ERPNext server connectivity

Test the ERPNext connection

list_doctypes

Show all configured doctypes and permissions

List all available document types and their permissions

get_doctype_permissions

Get detailed permissions for specific doctype

Show me the permissions for Customer doctype

Generic Document Operations

get_generic_document

Get any document by doctype and name

Get the Customer document named "ABC Company"

list_generic_documents

List documents for any doctype with filters

List all Items where item_group is "Raw Materials" and limit to 10 results

create_generic_document

Create document for any doctype

Create a new Customer with name "XYZ Corp", type "Company", and email "contact@xyz.com"

Doctype-Specific Tools

For each configured doctype, the server automatically generates:

  • list_{doctype}_documents - List documents
  • get_{doctype}_document - Get specific document
  • search_{doctype}_documents - Search documents
  • create_{doctype}_document - Create new document
  • update_{doctype}_document - Update document
  • delete_{doctype}_document - Delete document (if permitted)

Example Usage with Claude

Data Analysis

Show me the top 10 customers by territory and their contact information

→ Uses list_customer_documents with filters

Data Entry

Create a new customer named "Tech Solutions Ltd" as a Company type in Egypt territory with email info@techsolutions.com

→ Uses create_customer_document with validation

Information Retrieval

Get details for sales invoice INV-2024-001 including customer and payment status  

→ Uses get_sales_invoice_document

Search & Discovery

Find all items containing "laptop" in the name and show their prices

→ Uses search_item_documents

⚙️ Advanced Configuration

Rate Limiting

{
  "rate_limiting": {
    "enabled": true,
    "requests_per_minute": 60,
    "requests_per_hour": 1000
  }
}

Caching

{
  "cache": {
    "enabled": true,
    "ttl": 300,
    "max_size": 1000
  }
}

Environment Variables

# Alternative to config file
export ERPNEXT_URL="https://your-instance.com"
export ERPNEXT_API_KEY="your_key"
export ERPNEXT_API_SECRET="your_secret"
export MCP_AUDIT_ENABLED="true"
export MCP_LOG_LEVEL="INFO"

🔒 Security Considerations

Authentication

  • Uses ERPNext API Key/Secret authentication
  • No passwords stored in configuration
  • Supports ERPNext user-level permissions

Data Protection

  • Field-level access control prevents sensitive data exposure
  • Audit logging tracks all access attempts
  • Rate limiting prevents abuse
  • Input validation prevents injection attacks

Network Security

  • HTTPS-only connections to ERPNext
  • Configurable request timeouts
  • Connection pooling with limits

Audit Trail

All operations are logged with:

  • Timestamp and user context
  • Operation type and target doctype
  • Success/failure status and reasons
  • Data accessed/modified (field names only)
  • IP address and session information

Example audit log:

2024-01-15 10:30:45 - INFO - Operation: READ | DocType: Customer | Result: ALLOWED | Document: ABC Corp | Fields: ['customer_name', 'email_id', 'territory']
2024-01-15 10:31:12 - WARNING - Operation: DELETE | DocType: Customer | Result: DENIED | Reason: Delete operation not allowed for doctype 'Customer'

🧪 Testing & Validation

Test Connection

python test_client.py

Validate Permissions

from src.permissions import PermissionManager

config = {...}  # Your config
pm = PermissionManager(config)

# Test permissions
can_read = pm.can_read("Customer")
can_create = pm.can_create("Sales Order") 
allowed_fields = pm.get_allowed_fields("Item")

# Validate operation
allowed, reason = pm.validate_operation("create", "Customer", {
    "customer_name": "Test Corp",
    "customer_type": "Company"
})

Performance Testing

import asyncio
from src.erpnext_client import ERPNextClient

# Test rate limiting and caching
client = ERPNextClient(url, key, secret, config)

# This should hit cache after first request
for i in range(10):
    result = await client.get_doctype_list("Customer")
    print(f"Request {i+1}: {len(result['data'])} customers")

🏃‍♂️ Deployment

Production Configuration

{
  "erpnext": {
    "url": "https://your-production-instance.com",
    "timeout": 60
  },
  "rate_limiting": {
    "enabled": true,  
    "requests_per_minute": 30,
    "requests_per_hour": 500
  },
  "audit": {
    "enabled": true,
    "log_level": "INFO",
    "retention_days": 90
  },
  "cache": {
    "enabled": true,
    "ttl": 600
  }
}

Claude Desktop Integration

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "erpnext": {
      "command": "python",
      "args": ["-m", "src.server"],
      "cwd": "/path/to/erpnext_mcp_server",
      "env": {
        "MCP_LOG_LEVEL": "INFO"
      }
    }
  }
}

Docker Deployment

FROM python:3.11-slim

WORKDIR /app
COPY requirements.txt .
RUN pip install -r requirements.txt

COPY . .
EXPOSE 8080

CMD ["python", "-m", "src.server"]

🚨 Failure Modes & Recovery

Connection Failures

  • Automatic retry with exponential backoff
  • Graceful degradation when ERPNext is unavailable
  • Connection pooling prevents resource exhaustion

Permission Violations

  • All unauthorized operations are blocked and logged
  • Clear error messages explain permission requirements
  • No partial operations - atomic success/failure

Rate Limiting

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