How to integrate Centralstationcrm MCP with OpenAI Agents SDK

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Introduction

This guide walks you through connecting Centralstationcrm to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Centralstationcrm agent that can add new company to crm contacts, log a sales opportunity for a client, count total people in my crm, record a birthday for an existing contact through natural language commands.

This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Centralstationcrm account through Composio's Centralstationcrm 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 and set up your OpenAI and Composio API keys
  • Install the necessary dependencies
  • Initialize Composio and create a Tool Router session for Centralstationcrm
  • Configure an AI agent that can use Centralstationcrm as a tool
  • Run a live chat session where you can ask the agent to perform Centralstationcrm operations

What is open-ai-agents-sdk?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.

Key features include:

  • Hosted MCP Tools: Connect to external services through hosted MCP endpoints
  • SQLite Sessions: Persist conversation history across interactions
  • Simple API: Clean interface with Agent, Runner, and tool configuration
  • Streaming Support: Real-time response streaming for interactive applications

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

The Centralstationcrm MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Centralstationcrm account. It provides structured and secure access to your customer relationship data, so your agent can perform actions like managing contacts, creating deals, updating company records, and tracking key interactions on your behalf.

  • Automated contact management: Quickly add new people to your CRM, update their details, and ensure your contact database stays current without manual entry.
  • Company and organization creation: Effortlessly create new company records so you can keep your account-based selling and organization tracking up-to-date.
  • Deal tracking and creation: Instantly log new sales opportunities by creating deals linked to your contacts or companies, helping your team stay on top of the pipeline.
  • Detailed relationship enrichment: Add addresses, assistants, avatars, and contact details to people in your CRM, making every customer profile richer and more actionable.
  • Milestone and history recording: Record important life events or milestones (like birthdays or anniversaries) for each person to boost relationship management and personalized outreach.

Supported Tools & Triggers

Tools
Check ConnectionTool to verify the connection status of the centralstationcrm api key.
Count PeopleTool to retrieve the total number of people in the account.
Create CompanyTool to create a new company record.
Create DealTool to create a new deal record.
Create PersonTool to create a new person record.
Create Person AddressTool to create a new address for a specific person.
Create Person AssistantTool to create a new assistant (assi) entry for a specific person.
Create Person AvatarTool to create a new avatar for a specific person.
Create Person Contact DetailTool to create a new contact detail for a specific person.
Create Person Historic EventTool to create a new historic event for a specific person.
Delete CompanyTool to delete a company record by id.
Delete personTool to delete a person record by id.
Delete Person AddressTool to delete a person's address by its id.
Delete Person AssiTool to delete an assi entry of a person.
Delete Person AvatarTool to delete a person's avatar by its id.
Delete Person Contact DetailTool to delete a contact detail of a person.
Delete Person Historic EventTool to delete a historic event of a person by its id.
Get API User MaildropTool to retrieve the current api user's maildrop for people and companies.
Get CompanyTool to retrieve details of a specific company by id.
Get DealTool to retrieve details of a specific deal by its id.
Get DealsTool to retrieve a paginated list of all deals.
Get PersonTool to retrieve details of a specific person by id.
Get Person AddressTool to retrieve a specific address of a person by address id.
Get Person AddressesTool to retrieve all addresses for a specific person.
Get Person AssiTool to retrieve a specific assi entry of a person by id.
Get Person AssisTool to retrieve all assistant entries for a specific person.
Get Person AvatarTool to retrieve a specific avatar of a person by avatar id.
Get Person AvatarsTool to retrieve all avatars for a specific person.
Get Person Contact DetailTool to retrieve a specific contact detail by id for a person.
Get Person Custom FieldsTool to retrieve all custom fields for a specific person.
Get Person Historic EventTool to retrieve a specific historic event of a person by id.
Get Person Historic EventsTool to retrieve all historic events for a specific person.
Get PersonsTool to retrieve a paginated list of all people.
Merge PersonTool to merge another person into an existing person by id.
Search RecordsSearch records
Search PeopleTool to retrieve people matching search criteria.
Stats PeopleTool to retrieve key statistics about people.
Update CompanyTool to update an existing company by id.
Update PersonTool to update an existing person by id.
Update Person AddressTool to update a specific address of a person.
Update Person AssiTool to update an assi entry of a person.
Update Person Contact DetailTool to update a specific contact detail of a person by id.
Update Person Historic EventTool to update a historic event of a person by id.

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:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live Centralstationcrm project
  • Some knowledge of Python or Typescript

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

Install dependencies

pip install composio_openai_agents openai-agents python-dotenv

Install the Composio SDK and the OpenAI Agents SDK.

Set up environment variables

bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com

Create a .env file and add your OpenAI and Composio API keys.

Import dependencies

import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
What's happening:
  • You're importing all necessary libraries.
  • The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Centralstationcrm.

Set up the Composio instance

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
What's happening:
  • load_dotenv() loads your .env file so OPENAI_API_KEY and COMPOSIO_API_KEY are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.

Create a Tool Router session

# Create a Centralstationcrm Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["centralstationcrm"]
)

mcp_url = session.mcp.url

What is happening:

  • You give the Tool Router the user id and the toolkits you want available. Here, it is only centralstationcrm.
  • The router checks the user's Centralstationcrm connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Centralstationcrm.
  • This approach keeps things lightweight and lets the agent request Centralstationcrm tools only when needed during the conversation.

Configure the agent

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Centralstationcrm. "
        "Help users perform Centralstationcrm operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
What's happening:
  • We're creating an Agent instance with a name, model (gpt-5), and clear instructions about its purpose.
  • The agent's instructions tell it that it can access Centralstationcrm and help with queries, inserts, updates, authentication, and fetching database information.
  • The tools array includes a HostedMCPTool that connects to the MCP server URL we created earlier.
  • The headers dict includes the Composio API key for secure authentication with the MCP server.
  • require_approval: 'never' means the agent can execute Centralstationcrm operations without asking for permission each time, making interactions smoother.

Start chat loop and handle conversation

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
What's happening:
  • The program prints a session URL that you visit to authorize Centralstationcrm.
  • After authorization, the chat begins.
  • Each message you type is processed by the agent using Runner.run().
  • The responses are printed to the console, and conversations are saved locally using SQLite.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with Centralstationcrm and open-ai-agents-sdk:

import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["centralstationcrm"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Centralstationcrm. "
        "Help users perform Centralstationcrm operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())

Conclusion

This was a starter code for integrating Centralstationcrm MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Centralstationcrm.

Key features:

  • Hosted MCP tool integration through Composio's Tool Router
  • SQLite session persistence for conversation history
  • Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

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FAQ

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

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

Can I use Tool Router MCP with OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK 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 Centralstationcrm tools.

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

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

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