How to integrate Centralstationcrm MCP with Pydantic AI

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Introduction

This guide walks you through connecting Centralstationcrm to Pydantic AI 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 Pydantic AI 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:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Centralstationcrm
  • How to attach an MCP Server to a Pydantic AI agent
  • How to stream responses and maintain chat history
  • How to build a simple REPL-style chat interface to test your Centralstationcrm workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

  • Type Safety: Built on Pydantic for automatic data validation
  • MCP Support: Native support for Model Context Protocol servers
  • Streaming: Built-in support for streaming responses
  • Async First: Designed for async/await patterns

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:
  • Python 3.9 or higher
  • A Composio account with an active API key
  • Basic familiarity with Python and async programming

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 pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Centralstationcrm
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file

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

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your agent to Composio's API
  • USER_ID associates your session with your account for secure tool access
  • OPENAI_API_KEY to access OpenAI LLMs

Import dependencies

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Centralstationcrm
  • MCPServerStreamableHTTP connects to the Centralstationcrm MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant

Create a Tool Router Session

python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Centralstationcrm
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["centralstationcrm"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Centralstationcrm tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
centralstationcrm_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[centralstationcrm_mcp],
    instructions=(
        "You are a Centralstationcrm assistant. Use Centralstationcrm tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Centralstationcrm endpoint
  • The agent uses GPT-5 to interpret user commands and perform Centralstationcrm operations
  • The instructions field defines the agent's role and behavior

Build the chat interface

python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Centralstationcrm.\n")

while True:
    user_input = input("You: ").strip()
    if user_input.lower() in {"exit", "quit", "bye"}:
        print("\nGoodbye!")
        break
    if not user_input:
        continue

    print("\nAgent is thinking...\n", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Centralstationcrm API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Centralstationcrm and Pydantic AI:

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Centralstationcrm
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["centralstationcrm"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    centralstationcrm_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[centralstationcrm_mcp],
        instructions=(
            "You are a Centralstationcrm assistant. Use Centralstationcrm tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Centralstationcrm.\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "bye"}:
            print("\nGoodbye!")
            break
        if not user_input:
            continue

        print("\nAgent is thinking...\n", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You've built a Pydantic AI agent that can interact with Centralstationcrm through Composio's Tool Router. With this setup, your agent can perform real Centralstationcrm actions through natural language. You can extend this further by:
  • Adding other toolkits like Gmail, HubSpot, or Salesforce
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Centralstationcrm for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

How to build Centralstationcrm MCP Agent with another framework

OpenAI Agents SDK

OpenAI Agents SDK

Use Centralstationcrm MCP with OpenAI Agents SDK

Claude Agent SDK

Claude Agent SDK

Use Centralstationcrm MCP with Claude Agent SDK

Google ADK

Google ADK

Use Centralstationcrm MCP with Google ADK

LangChain

LangChain

Use Centralstationcrm MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Centralstationcrm MCP with Vercel AI SDK

Mastra AI

Mastra AI

Use Centralstationcrm MCP with Mastra AI

LlamaIndex

LlamaIndex

Use Centralstationcrm MCP with LlamaIndex

CrewAI

CrewAI

Use Centralstationcrm MCP with CrewAI

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 Pydantic AI?

Yes, you can. Pydantic AI 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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