How to integrate Simla com MCP with CrewAI

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Introduction

This guide walks you through connecting Simla com to CrewAI using the Composio tool router. By the end, you'll have a working Simla com agent that can create a new customer with email and phone, update order status for a specific order, list customers who registered this week, edit a custom field for a company through natural language commands.

This guide will help you understand how to give your CrewAI agent real control over a Simla com account through Composio's Simla com 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 Simla com connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Simla com
  • Build a conversational loop where your agent can execute Simla com 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 Simla com MCP server, and what's possible with it?

The Simla com MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Simla com account. It provides structured and secure access to customer records, order management, delivery integration, and custom field data, so your agent can perform actions like creating orders, managing customers, updating tasks, and extending your CRM—all on your behalf.

  • Customer management and updates: Easily create new customers, update their details, or fetch specific customer profiles using flexible filters and identifiers.
  • Order creation and editing: Let your agent register new orders, update existing ones, or retrieve order information to streamline your sales and fulfillment workflows.
  • Custom field management: Enable your agent to create or update custom metadata fields for orders, customers, or companies, so your CRM data model can adapt to your business needs.
  • Task automation and tracking: Automatically create new tasks, assign them to team members, and keep all task details up to date for efficient collaboration and follow-up.
  • Bulk customer retrieval and segmentation: Fetch lists of customers with custom filters to support segmentation, analysis, or targeted outreach directly from your agent.

Supported Tools & Triggers

Tools
Create CustomerTool to create a new customer.
Create Custom FieldTool to create a custom field for a specified entity in simla.
Create OrderTool to create a new order.
Create TaskTool to create a new task.
Edit CustomerTool to edit an existing customer.
Edit Custom FieldTool to edit an existing custom field by entity and code.
Edit OrderTool to edit an existing order by external id.
Edit TaskTool to edit an existing task.
Get CustomerTool to retrieve information about a specific customer.
Get CustomersTool to retrieve a list of customers.
Get Custom FieldsTool to list custom fields.
Get OrderTool to retrieve detailed information about a specific order.
Get OrdersTool to retrieve a list of orders.
Get ProductsTool to retrieve a list of products.
Get SegmentsTool to retrieve a list of customer segments.
Get SitesTool to retrieve a list of sites.
Get TaskTool to retrieve detailed information about a specific task.
Get TasksTool to retrieve a list of tasks with optional filters.
Get UsersTool to retrieve a list of users.

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 Simla com 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 python-dotenv
What's happening:
  • composio connects your agent to Simla com via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools 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
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter  # optional import if you plan to adapt tools
from composio import Composio
from dotenv import load_dotenv
import os
from crewai.mcp import MCPServerHTTP

load_dotenv()
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 Simla com MCP URL

Create a Composio Tool Router session for Simla com

python
composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
session = composio.create(
    user_id=os.getenv("USER_ID"),
    toolkits=["simla_com"],
)
url = session.mcp.url
What's happening:
  • You create a Simla com only session through Composio
  • Composio returns an MCP HTTP URL that exposes Simla com tools

Configure the LLM

python
llm = LLM(
    model="gpt-5-mini",
    api_key=os.getenv("OPENAI_API_KEY"),
)
What's happening:
  • CrewAI will call this LLM for planning and responses
  • You can swap in a different model if needed

Attach the MCP server and create the agent

python
toolkit_agent = Agent(
    role="Simla com Assistant",
    goal="Help users interact with Simla com through natural language commands",
    backstory=(
        "You are an expert assistant with access to Simla com tools. "
        "You can perform various Simla com operations on behalf of the user."
    ),
    mcps=[
        MCPServerHTTP(
            url=url,
            streamable=True,
            cache_tools_list=True,
            headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")},
        ),
    ],
    llm=llm,
    verbose=True,
    max_iter=10,
)
What's happening:
  • MCPServerHTTP connects the agent to the Simla com MCP endpoint
  • cache_tools_list saves a tools catalog for faster subsequent runs
  • verbose helps you see what the agent is doing

Add a REPL loop with Task and Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to perform Simla com operations.\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"Based on the conversation history:\n{conversation_context}\n\n"
            f"Current user request: {user_input}\n\n"
            f"Please help the user with their Simla com related request."
        ),
        expected_output="A helpful response addressing the user's request",
        agent=toolkit_agent,
    )

    crew = Crew(
        agents=[toolkit_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:
  • You build a simple chat loop and keep a running context
  • Each user turn becomes a Task handled by the same agent
  • Crew executes the task and returns a response

Run the application

python
if __name__ == "__main__":
    main()
What's happening:
  • Standard Python entry point so you can run python crewai_simla_com_agent.py

Complete Code

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

python
# file: crewai_simla_com_agent.py
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter  # optional
from composio import Composio
from dotenv import load_dotenv
import os
from crewai.mcp import MCPServerHTTP

load_dotenv()

def main():
    # Initialize Composio and create a Simla com session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["simla_com"],
    )
    url = session.mcp.url

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

    # Create Simla com assistant agent
    toolkit_agent = Agent(
        role="Simla com Assistant",
        goal="Help users interact with Simla com through natural language commands",
        backstory=(
            "You are an expert assistant with access to Simla com tools. "
            "You can perform various Simla com operations on behalf of the user."
        ),
        mcps=[
            MCPServerHTTP(
                url=url,
                streamable=True,
                cache_tools_list=True,
                headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")},
            ),
        ],
        llm=llm,
        verbose=True,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Try asking the agent to perform Simla com operations.\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"Based on the conversation history:\n{conversation_context}\n\n"
                f"Current user request: {user_input}\n\n"
                f"Please help the user with their Simla com related request."
            ),
            expected_output="A helpful response addressing the user's request",
            agent=toolkit_agent,
        )

        crew = Crew(
            agents=[toolkit_agent],
            tasks=[task],
            verbose=False,
        )

        result = crew.kickoff()
        response = str(result)

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

if __name__ == "__main__":
    main()

Conclusion

You now have a CrewAI agent connected to Simla com through Composio's Tool Router. The agent can perform Simla com 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

How to build Simla com MCP Agent with another framework

OpenAI Agents SDK

OpenAI Agents SDK

Use Simla com MCP with OpenAI Agents SDK

Claude Agent SDK

Claude Agent SDK

Use Simla com MCP with Claude Agent SDK

Google ADK

Google ADK

Use Simla com MCP with Google ADK

LangChain

LangChain

Use Simla com MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Simla com MCP with Vercel AI SDK

Mastra AI

Mastra AI

Use Simla com MCP with Mastra AI

LlamaIndex

LlamaIndex

Use Simla com MCP with LlamaIndex

FAQ

What are the differences in Tool Router MCP and Simla com MCP?

With a standalone Simla com MCP server, the agents and LLMs can only access a fixed set of Simla com tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Simla com 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 Simla com tools.

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

Yes, absolutely. You can configure which Simla com 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 Simla com data and credentials are handled as safely as possible.

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