How to integrate Erpnext MCP with CrewAI

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Introduction

This guide walks you through connecting Erpnext to CrewAI using the Composio tool router. By the end, you'll have a working Erpnext agent that can list overdue tasks for all projects, create a new customer record, get all open purchase orders through natural language commands.

This guide will help you understand how to give your CrewAI agent real control over a Erpnext account through Composio's Erpnext MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your Erpnext connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Erpnext
  • Build a conversational loop where your agent can execute Erpnext operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

  • Agent Roles: Define specialized agents with specific goals and backstories
  • Task Management: Create tasks with clear descriptions and expected outputs
  • Crew Orchestration: Combine agents and tasks into collaborative workflows
  • MCP Integration: Connect to external tools through Model Context Protocol

What is the Erpnext MCP server, and what's possible with it?

The Erpnext MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Erpnext account. It provides structured and secure access so your agent can perform Erpnext operations on your behalf.

Supported Tools & Triggers

Tools
Add CommentTool to add a comment to a document in ERPNext/Frappe.
Add TagTool to add a tag to a document in ERPNext.
Apply WorkflowTool to apply a workflow action to a document in ERPNext/Frappe.
Cancel DocumentCancel a submitted document in ERPNext/Frappe to change its status from Submitted to Cancelled.
Create DocumentTool to create a new document of a specific DocType in ERPNext.
Create TimesheetTool to create a new Timesheet record in ERPNext.
Create WebhookTool to create a new webhook configuration in ERPNext.
Delete DocumentTool to delete a document using the Frappe client API.
Delete DocumentTool to delete a specific document by DocType and name.
Download file from ERPNextTool to download a file from ERPNext by its URL.
Download PDF DocumentTool to download a document as PDF from ERPNext with optional print format.
Get All LanguagesTool to get a list of all available languages in the ERPNext/Frappe system.
Get All RolesTool to get a list of all roles available in the ERPNext system.
Get DocumentTool to get a single document by DocType and name or filters from Frappe/ERPNext.
Get Document CountTool to get the count of documents matching specified filters in ERPNext/Frappe.
Get DocType MetadataTool to retrieve complete DocType metadata/schema including field definitions, field types, permissions, and configurations.
Get DocumentTool to retrieve a specific document by its DocType and name (ID).
Get Document with MetadataTool to retrieve a document with full metadata including attachments, comments, activity logs, and related information.
Get Exchange RateTool to get the currency exchange rate between two currencies in ERPNext.
Get Fiscal YearTool to get fiscal year information for a given date in ERPNext.
Get Framework VersionTool to get the Frappe framework version and all installed app versions.
Get Item DetailsTool to get detailed item information including pricing, taxes, and stock details from ERPNext.
Get List of DocumentsTool to retrieve a list of documents from ERPNext/Frappe with filtering, field selection, and pagination.
Get Logged UserTool to get the email/ID of the currently authenticated user.
Get Party DetailsTool to get comprehensive customer or supplier details including addresses, contacts, and default financial settings.
Get Payment EntryTool to get payment entry details for an invoice or order from ERPNext.
Get Stock BalanceTool to retrieve the current stock balance for a specific item in a warehouse.
Get TimezonesTool to get a list of all available timezones in the ERPNext system.
Get User RolesTool to get roles assigned to a user.
Get Field ValueTool to get specific field value(s) from a document in ERPNext.
Get Workflow TransitionsTool to get available workflow transitions for a document.
Insert DocumentTool to insert a new document in ERPNext/Frappe using the client API.
Insert Multiple DocumentsTool to insert multiple documents at once into ERPNext/Frappe.
List DocTypesTool to get a list of all DocTypes available in the ERPNext system.
List ERPNext DocumentsTool to list documents of a specific DocType from ERPNext.
List EmployeesTool to retrieve a list of Employee records from ERPNext.
List ProjectsTool to retrieve a list of Project records from ERPNext.
List TimesheetsTool to get a list of Timesheet records from ERPNext.
List WebhooksTool to list webhook configurations in ERPNext.
Make Delivery NoteCreate a draft Delivery Note from an existing Sales Order in ERPNext.
Make Purchase OrderCreate a draft Purchase Order from an existing Material Request in ERPNext.
Make Sales InvoiceTool to create a Sales Invoice from an existing Sales Order in ERPNext.
Make Stock EntryTool to create a Stock Entry for material transfer, receipt, or issue in ERPNext.
Ping APITool to check if the ERPNext/Frappe API is reachable.
Rename DocumentTool to rename an ERPNext document by changing its unique ID/name.
Save Document with ActionTool to save, submit, cancel, or update a document in ERPNext.
Save DocumentTool to save an existing ERPNext/Frappe document with changes.
Global SearchTool to perform global text search across ERPNext documents.
Search Link Field DocumentsTool to search for documents to link in ERPNext/Frappe Link fields.
Set ValueTool to set a specific field value on a document in ERPNext.
Submit DocumentSubmit a draft document in ERPNext/Frappe to change its status from Draft to Submitted.
Update ERPNext documentTool to update a specific ERPNext document.

What is the Composio tool router, and how does it fit here?

What is Tool Router?

Composio's Tool Router helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Tool Router

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Tool Router works

The Tool Router follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Erpnext connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.

Install dependencies

bash
pip install composio crewai crewai-tools[mcp] python-dotenv
What's happening:
  • composio connects your agent to Erpnext via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools[mcp] includes MCP helpers
  • python-dotenv loads environment variables from .env

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates with Composio
  • USER_ID scopes the session to your account
  • OPENAI_API_KEY lets CrewAI use your chosen OpenAI model

Import dependencies

python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
What's happening:
  • CrewAI classes define agents and tasks, and run the workflow
  • MCPServerHTTP connects the agent to an MCP endpoint
  • Composio will give you a short lived Erpnext MCP URL

Create a Composio Tool Router session for Erpnext

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["erpnext"])

url = session.mcp.url
What's happening:
  • You create a Erpnext only session through Composio
  • Composio returns an MCP HTTP URL that exposes Erpnext tools

Initialize the MCP Server

python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
What's Happening:
  • Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
  • MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
  • Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
  • Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
  • Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.

Create a CLI Chatloop and define the Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
What's Happening:
  • Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
  • Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
  • Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
  • Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
  • Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
  • Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.

Complete Code

Here's the complete code to get you started with Erpnext and CrewAI:

python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["erpnext"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

Conclusion

You now have a CrewAI agent connected to Erpnext through Composio's Tool Router. The agent can perform Erpnext operations through natural language commands.

Next steps:

  • Add role-specific instructions to customize agent behavior
  • Plug in more toolkits for multi-app workflows
  • Chain tasks for complex multi-step operations

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FAQ

What are the differences in Tool Router MCP and Erpnext MCP?

With a standalone Erpnext MCP server, the agents and LLMs can only access a fixed set of Erpnext tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Erpnext and many other apps based on the task at hand, all through a single MCP endpoint.

Can I use Tool Router MCP with CrewAI?

Yes, you can. CrewAI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Erpnext tools.

Can I manage the permissions and scopes for Erpnext while using Tool Router?

Yes, absolutely. You can configure which Erpnext scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Erpnext data and credentials are handled as safely as possible.

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