How to integrate AnyDB MCP with Pydantic AI

This guide walks you through connecting AnyDB to Pydantic AI using the Composio tool router. By the end, you'll have a working AnyDB agent that can query your records, create and update records, attach files to records, share records with teammates, and trigger workflows through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a AnyDB account through Composio's AnyDB MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

AnyDB logoAnyDB
Api Key

AnyDB is a flexible collaborative database platform for organizing records, files, and automated workflows. It helps teams centralize data, collaborate on records, and automate routine tasks.

9 Tools

Introduction

This guide walks you through connecting AnyDB to Pydantic AI using the Composio tool router. By the end, you'll have a working AnyDB agent that can query your records, create and update records, attach files to records, share records with teammates, and trigger workflows through natural language commands.

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

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

Also integrate AnyDB 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 AnyDB
  • 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 AnyDB 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 AnyDB MCP server, and what's possible with it?

The AnyDB MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your AnyDB account. It provides structured and secure access to your teams, databases, and records, so your agent can find databases, search records, create entries, update content, and manage records on your behalf.

  • Team and database discovery: Have your agent list the teams and databases available to your account before working with their records.
  • Record search and retrieval: Instruct your agent to browse records, search by keyword, or fetch a specific record with its metadata and cell content.
  • Record creation and organization: Let the agent create named records, add cell content, and place new entries under the right parent record.
  • Record updates and assignments: Direct your agent to rename records, edit cell content, change their location or lock state, and manage user or group assignments.
  • Record copying and deletion: Have your agent duplicate a record with its child records into the same or another database, or permanently delete records you no longer need.

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

Step by step09 STEPS
1

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
2

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.
3

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 AnyDB
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

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
5

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 AnyDB
  • MCPServerStreamableHTTP connects to the AnyDB MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

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 AnyDB
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["any_db"],
    )
    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 AnyDB 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
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
any_db_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[any_db_mcp],
    instructions=(
        "You are a AnyDB assistant. Use AnyDB tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the AnyDB endpoint
  • The agent uses GPT-5 to interpret user commands and perform AnyDB operations
  • The instructions field defines the agent's role and behavior
8

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 AnyDB.\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
  • AnyDB API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

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 AnyDB 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 AnyDB
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["any_db"],
    )
    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
    any_db_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[any_db_mcp],
        instructions=(
            "You are a AnyDB assistant. Use AnyDB 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 AnyDB.\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 AnyDB through Composio's Tool Router. With this setup, your agent can perform real AnyDB 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 + AnyDB for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
TOOLS

Supported Tools

Every AnyDB action and event your agent gets out of the box.

Copy Record

Duplicate an AnyDB record and its child-record subtree, optionally into another database or parent.

Create Record

Create a record in an AnyDB database, optionally attaching it to a parent and setting cell content.

Delete Record Permanently

Permanently delete one AnyDB record.

Get Record

Fetch one AnyDB record by ID, including its metadata and cell content.

List Databases

List databases in an AnyDB team and return root and recycle-bin IDs used by record workflows.

List Records

Return one page of record summaries from a database, optionally constrained by parent or template.

List Teams

List AnyDB teams available to the connected account, including the IDs needed to discover databases.

Search Records

Search a database for records matching a keyword, with caller-controlled offset and limit.

Update Record

Update an AnyDB record's name, lock state, parent, user/group assignees, or cell content.

FAQ

Frequently asked questions

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

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 AnyDB tools.

Yes, absolutely. You can configure which AnyDB 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.

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 AnyDB data and credentials are handled as safely as possible.

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