How to integrate Dadata ru MCP with Pydantic AI

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Introduction

This guide walks you through connecting Dadata ru to Pydantic AI using the Composio tool router. By the end, you'll have a working Dadata ru agent that can clean and standardize this russian address, validate and parse a user's full name, check if this passport number is valid, get full bank details from a bic code through natural language commands.

This guide will help you understand how to give your Pydantic AI agent real control over a Dadata ru account through Composio's Dadata ru 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 Dadata ru
  • 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 Dadata ru 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 Dadata ru MCP server, and what's possible with it?

The Dadata ru MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Dadata ru account. It provides structured and secure access to DaData’s powerful data validation and enrichment APIs, so your agent can perform actions like standardizing addresses, cleaning contact details, parsing names, and retrieving company or bank information on your behalf.

  • Accurate address standardization and parsing: Instantly clean and structure messy Russian addresses or retrieve address details using identifiers like cadastral numbers or FIAS IDs.
  • Email, phone, and passport validation: Let your agent validate and clean raw email addresses, phone numbers, or Russian passport numbers to ensure your data is correct and safe to use.
  • Full name parsing and gender detection: Automatically break down full names (FIO), identify gender, and get grammatical declensions to power advanced personalization or document processing.
  • Vehicle and car brand data enrichment: Extract structured vehicle details and fetch comprehensive car brand information by code for registration or verification workflows.
  • Bank information retrieval: Quickly find complete bank details by BIC, SWIFT, INN, or registration numbers, streamlining financial processes and verifications.

Supported Tools & Triggers

Tools
Clean AddressTool to clean and standardize russian postal addresses.
Clean BirthdateTool to standardize and validate birthdate strings.
Clean EmailTool to standardize and validate email addresses.
Clean Name (FIO)Tool to standardize and parse full names (fio), detect gender, and return grammatical cases.
Clean PassportTool to validate a russian passport number against the official registry.
Clean PhoneTool to standardize and validate phone numbers.
Clean VehicleTool to standardize and parse vehicle data fields.
Find AddressTool to find address by identifier.
Find BankTool to find bank by bic, swift, inn, or registration number.
Find Car BrandTool to find car brand by its identifier.
Find CountryTool to find country details by iso or numeric code.
Find CurrencyTool to find currency details by iso 4217 code.
Find Delivery City IDsTool to get delivery service city ids by kladr code.
Find FMS UnitTool to find passport authority (fms unit) by code.
Find FTS UnitTool to find customs (fts) office by code.
Find MKTUTool to find mktu classification details by code.
Find OKVED2Tool to find okved2 classifier entries by code.
Find Company or EntrepreneurTool to find company or individual entrepreneur details by inn, ogrn, or kpp.
Find Belarus Party by UNPTool to find a belarusian company or entrepreneur by unp.
Find Kazakhstan Company by BINTool to find kazakhstan company or entrepreneur details by bin or name.
Geolocate AddressTool to find nearest addresses by geographic coordinates.
Get Profile BalanceTool to retrieve current dadata account balance.
Get Profile StatisticsTool to get daily aggregated usage statistics per dadata api service.
Get Reference VersionsTool to retrieve the last update dates for dadata reference datasets (fias, egrul, banks, etc.
IP Locate AddressTool to determine russian address by ip.
Suggest AddressTool to autocomplete and suggest addresses.
Suggest BankTool to autocomplete and suggest banks by partial details.
Suggest Car BrandTool to suggest car brands.
Suggest CourtTool to suggest russian courts by name or location.
Suggest CurrencyTool to suggest currencies by iso 4217 code or name.
Suggest EmailTool to autocomplete and suggest email addresses.
Suggest FMS UnitTool to autocomplete and suggest passport issuing authorities.
Suggest FNS UnitTool to suggest russian tax inspection units by partial name or code.
Suggest FTS UnitTool to autocomplete and suggest russian customs (fts) units.
Suggest MetroTool to suggest metro stations.
Suggest MKTUTool to suggest mktu entries.
Suggest NameTool to autocomplete and suggest full names (fio).
Suggest OKPD2Tool to autocomplete and suggest russian product classification codes (okpd2).
Suggest OKTMOTool to suggest russian municipal territory codes (oktmo).
Suggest OKVED2Tool to suggest okved2 codes by text query.
Suggest PartyTool to autocomplete and suggest russian companies or entrepreneurs.
Suggest Postal UnitTool to suggest russian postal units by index or coordinates.

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 Dadata ru
  • 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 Dadata ru
  • MCPServerStreamableHTTP connects to the Dadata ru 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 Dadata ru
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["dadata_ru"],
    )
    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 Dadata ru 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
dadata_ru_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[dadata_ru_mcp],
    instructions=(
        "You are a Dadata ru assistant. Use Dadata ru tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Dadata ru endpoint
  • The agent uses GPT-5 to interpret user commands and perform Dadata ru 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 Dadata ru.\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
  • Dadata ru 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 Dadata ru 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 Dadata ru
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["dadata_ru"],
    )
    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
    dadata_ru_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[dadata_ru_mcp],
        instructions=(
            "You are a Dadata ru assistant. Use Dadata ru 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 Dadata ru.\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 Dadata ru through Composio's Tool Router. With this setup, your agent can perform real Dadata ru 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 + Dadata ru 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 Dadata ru MCP Agent with another framework

OpenAI Agents SDK

OpenAI Agents SDK

Use Dadata ru MCP with OpenAI Agents SDK

Claude Agent SDK

Claude Agent SDK

Use Dadata ru MCP with Claude Agent SDK

Google ADK

Google ADK

Use Dadata ru MCP with Google ADK

LangChain

LangChain

Use Dadata ru MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Dadata ru MCP with Vercel AI SDK

Mastra AI

Mastra AI

Use Dadata ru MCP with Mastra AI

LlamaIndex

LlamaIndex

Use Dadata ru MCP with LlamaIndex

CrewAI

CrewAI

Use Dadata ru MCP with CrewAI

FAQ

What are the differences in Tool Router MCP and Dadata ru MCP?

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

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

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

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