ERPNext MCP Server

0
0 Reviews
4 Stars
This MCP server facilitates integration with ERPNext using the Frappe API, allowing AI agents to access and manipulate ERPNext data seamlessly.
Added on:
Created by:
Apr 01 2025
ERPNext MCP Server

ERPNext MCP Server

0 Reviews
4
0
ERPNext MCP Server
This MCP server facilitates integration with ERPNext using the Frappe API, allowing AI agents to access and manipulate ERPNext data seamlessly.
Added on:
Created by:
Apr 01 2025
Rakesh Gangwar
Featured

What is ERPNext MCP Server?

The ERPNext MCP Server is a TypeScript-based protocol server that connects AI assistants to ERPNext systems through the Model Context Protocol. It provides structured data access and various tools such as document retrieval, creation, and report running. The server supports authentication and configuration through environment variables and offers debugging options like the MCP Inspector. Its primary functions include interacting with ERPNext documents, user authentication, and executing reports, making it ideal for automating ERP workflows and enhancing data management efficiency.

Who will use ERPNext MCP Server?

  • ERPNext system administrators
  • AI developers integrating with ERPNext
  • Business analysts automating ERP workflows
  • ERPNext users managing data via AI agents

How to use the ERPNext MCP Server?

  • Step1: Install the MCP server following the setup guide
  • Step2: Configure environment variables for the ERPNext instance
  • Step3: Run the MCP server using npm commands
  • Step4: Add the server configuration to your client or IDE setup
  • Step5: Authenticate with ERPNext using credentials
  • Step6: Use provided tools to access or modify ERPNext data

ERPNext MCP Server's Core Features & Benefits

The Core Features
  • Authenticate ERPNext
  • Get list of documents by doctype
  • Create new documents
  • Update existing documents
  • Run ERPNext reports
  • Get DocType fields
  • Get list of all DocTypes
The Benefits
  • Seamless integration between AI and ERPNext data
  • Automates data retrieval and management
  • Supports structured JSON data access
  • Enables easy report execution within AI workflows
  • Highly configurable with environment variables

ERPNext MCP Server's Main Use Cases & Applications

  • Automating ERP data entry with AI assistants
  • Generating ERPNext reports via voice commands
  • Integrating ERPNext with AI-powered chatbots
  • Streamlining ERP workflows and data management

FAQs of ERPNext MCP Server

Developer

You may also like:

Developer Tools

A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.

Research And Data

A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.

AI Chatbot

Integrates APIs, AI, and automation to enhance server and client functionalities dynamically.
Provides long-term memory for LLMs by storing and retrieving contextual information via MCP standards.
An advanced clinical evidence analysis server supporting precision medicine and oncology research with flexible search options.
A platform collecting A2A agents, tools, servers, and clients for effective agent communication and collaboration.
A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
An AI agent controlling macOS using OS-level tools, compatible with MCP, facilitating system management via AI.
PHP client library enabling interaction with MCP servers via SSE, StdIO, or external processes.
A platform for managing and deploying autonomous agents, tools, servers, and clients for automation tasks.
Enables interaction with powerful Text to Speech and video generation APIs for multimedia content creation.
An MCP server providing API access to RedNote (XiaoHongShu, xhs) for seamless integration.