How to integrate Customgpt MCP with Pydantic AI

Trusted by
AWS
Glean
Zoom
Airtable
GET STARTED FOR FREEGET A DEMO

30 min · no commitment · see it on your stack

Customgpt logo
Pydantic AI logo
divider

Introduction

This guide walks you through connecting Customgpt to Pydantic AI using the Composio tool router. By the end, you'll have a working Customgpt agent that can list all your active customgpt projects, show chat history from your latest conversation, get usage limits for your account through natural language commands.

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

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

Also integrate Customgpt with

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 Customgpt
  • 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 Customgpt 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 Customgpt MCP server, and what's possible with it?

The Customgpt MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your CustomGPT.ai account. It provides structured and secure access to your chatbot projects, so your agent can list, manage, update, and analyze your AI-powered chatbots and their licenses on your behalf.

  • Project and agent management: Effortlessly list all your CustomGPT projects, retrieve their details, and even delete agents you no longer need.
  • Comprehensive license handling: Let your agent fetch, update, or remove licenses attached to any of your chatbot projects, ensuring you always have the right access and compliance.
  • Chat conversation insights: Retrieve complete chat histories from your AI chatbot conversations to analyze user interactions or debug sessions.
  • User profile and usage monitoring: Automatically fetch your account profile and check on your usage limits, including agents, words, and queries, so you never exceed your quotas.
  • Project settings inspection: Quickly pull and review configuration details for any chatbot project to audit or adjust your bot's setup.

Supported Tools & Triggers

Tools
Activate Persona VersionRestore a previous persona version for a CustomGPT agent.
Add Source to ProjectAdd a data source to a CustomGPT agent's knowledge base.
Clone CustomGPT ProjectTool to clone a CustomGPT agent (project).
Create ConversationTool to create a new conversation session for a CustomGPT agent.
Create CustomGPT ProjectTool to create a new CustomGPT agent from a sitemap URL or file upload.
Delete Page from AgentTool to delete a document from a CustomGPT agent's knowledge base.
Delete CustomGPT ProjectTool to delete a CustomGPT project by ID.
Delete CustomGPT Project LicenseDeletes a license from a CustomGPT project/agent.
Delete CustomGPT SourceTool to delete a data source from a CustomGPT agent.
Export LeadsExport leads from a CustomGPT project.
Get MessageTool to get message details from a CustomGPT conversation.
Get Message Trust ScoreTool to retrieve verification trust score for a message in a CustomGPT conversation.
Get Page MetadataTool to get document metadata including title, source URL, word count, and custom metadata fields.
Get Agent PluginsTool to retrieve plugin details for a specific CustomGPT agent (project).
Get CustomGPT ProjectTool to get agent details.
Get Project LicenseTool to retrieve a license for a specific project.
Get Project SettingsRetrieve configuration settings for a specific CustomGPT agent/project.
Get Analytics Chart DataTool to retrieve analytics chart data for a CustomGPT project.
Get Conversation AnalyticsTool to get conversation analytics for a CustomGPT project.
Get Customer Intelligence ReportTool to get customer intelligence for a CustomGPT project.
Get Traffic Analytics ReportTool to retrieve traffic analytics for a CustomGPT agent/project.
Get Agent StatisticsTool to get agent statistics.
Get Usage LimitsGet account usage limits showing current usage vs.
Get Current User ProfileTool to retrieve the current user's profile information.
List Conversation MessagesRetrieves all messages from a CustomGPT conversation, including both user queries and AI responses.
List Agent DocumentsLists all documents in a CustomGPT agent's knowledge base.
List Persona VersionsTool to list persona versions for a CustomGPT agent.
List CustomGPT Project LicensesList all licenses for a CustomGPT project/agent.
List CustomGPT ProjectsLists all CustomGPT projects (agents) for the authenticated user.
List Agent SourcesTool to list all data sources connected to an agent.
Reindex PageTool to reindex a document in CustomGPT knowledge base.
Search Team MembersTool to search for team members by email address or user ID.
Submit Message FeedbackTool to submit feedback (thumbs up/down) for a message in a CustomGPT conversation.
Update Page MetadataUpdate document metadata for a specific page in a CustomGPT project.
Update ProjectUpdates an existing CustomGPT agent's name or configuration settings.
Update Project LicenseUpdates the name of an existing license for a CustomGPT project/agent.
Update Project SettingsUpdate CustomGPT agent configuration settings.
Update Source SettingsUpdate source settings for a CustomGPT agent data source.
Update User ProfileUpdates the authenticated user's profile information in CustomGPT.
Verify Message AccuracyTool to verify message accuracy by triggering a fact-checking verification process.

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

What is Composio SDK?

Composio's Composio SDK 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 Composio SDK

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

How the Composio SDK works

The Composio SDK 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 Customgpt
  • 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 Customgpt
  • MCPServerStreamableHTTP connects to the Customgpt 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 Customgpt
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["customgpt"],
    )
    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 Customgpt 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
customgpt_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[customgpt_mcp],
    instructions=(
        "You are a Customgpt assistant. Use Customgpt tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Customgpt endpoint
  • The agent uses GPT-5 to interpret user commands and perform Customgpt 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 Customgpt.\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
  • Customgpt 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 Customgpt and Pydantic AI:

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()

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 Customgpt
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["customgpt"],
    )
    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
    customgpt_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[customgpt_mcp],
        instructions=(
            "You are a Customgpt assistant. Use Customgpt 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 Customgpt.\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 Customgpt through Composio's Tool Router. With this setup, your agent can perform real Customgpt 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 + Customgpt 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 Customgpt MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Customgpt MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Customgpt MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Customgpt MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Customgpt MCP with Claude Cowork

Codex logo

Codex

Use Customgpt MCP with Codex

OpenClaw logo

OpenClaw

Use Customgpt MCP with OpenClaw

Hermes logo

Hermes

Use Customgpt MCP with Hermes

CLI logo

CLI

Use Customgpt MCP with CLI

Google ADK logo

Google ADK

Use Customgpt MCP with Google ADK

LangChain logo

LangChain

Use Customgpt MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Customgpt MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Customgpt MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Customgpt MCP with LlamaIndex

CrewAI logo

CrewAI

Use Customgpt MCP with CrewAI

FAQ

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

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

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

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

Used by agents from

Context
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai
Context
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai
Context
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai

Never worry about agent reliability

We handle tool reliability, observability, and security so you never have to second-guess an agent action.

Get started for freeGet a demo↗