How to integrate Dadata ru MCP with Autogen

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Introduction

This guide walks you through connecting Dadata ru to AutoGen 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 through natural language commands.

This guide will help you understand how to give your AutoGen 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.

Also integrate Dadata ru with

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for Dadata ru
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Dadata ru tools
  • Run a live chat loop where you ask the agent to perform Dadata ru operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

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 AddressClean and standardize a Russian postal address.
Clean BirthdateStandardize and validate birthdate strings.
Clean EmailStandardize and validate an email address.
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 Composite RecordTool to standardize composite records with multiple contact data fields in a single request.
Clean VehicleStandardize and recognize vehicle make/model from free-form text input.
Find AddressRetrieve full Russian address details by FIAS ID, KLADR code, or cadastral number.
Find BankTool to find bank by BIC, SWIFT, INN, or registration number.
Find Car BrandFind car brand details by identifier.
Find Company By EmailFind companies by corporate email address domain.
Find CountryTool to find country details by ISO or numeric code.
Find Court by IDFind court by ID or code.
Find CurrencyTool to find currency details by ISO 4217 code.
Find Delivery City IDsRetrieves delivery service city identifiers (CDEK, Boxberry, DPD) for a given Russian city by KLADR code or FIAS ID.
Find Address by FIAS IDFind address by FIAS ID from the Federal Information Address System (FIAS/GAR).
Find FMS UnitLook up Russian passport issuing authority (FMS unit) by subdivision code.
Find FNS Unit by CodeFind Russian tax inspection (FNS unit) by exact code or INN.
Find FTS UnitFind a Russian Federal Customs Service (FTS) unit by its 8-digit code.
Find Medical Position By IDTool to find medical position by ID code.
Find MKTULook up MKTU (International Classification of Goods and Services/Nice Classification) items by their numeric code.
Find OKPD2 by IDLook up OKPD2 (Russian Classification of Products by Economic Activity) entries by their exact code.
Find OKPDTR PositionFind job position by OKPDTR code.
Find OKPDTR ProfessionTool to find profession details by OKPDTR code.
Find Territory by OKTMOFind Russian municipal territory by OKTMO code.
Find OKVED2Look up OKVED2 (Russian Classification of Economic Activities) entries by their exact code.
Find Company or EntrepreneurFind company or individual entrepreneur details by INN or OGRN from the Russian Federal Tax Service registry.
Find Belarus Party by UNPTool to find a Belarusian company or entrepreneur by UNP.
Find Kazakhstan Company by BINLook up Kazakhstan company or entrepreneur details by BIN (Business Identification Number).
Find Postal OfficeFind Russian postal office details by postal code (index).
Find Postal Unit By IDFind postal unit by postal code.
Geolocate AddressTool to find nearest addresses by geographic coordinates.
Geolocate Postal UnitTool to find nearest postal units 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 AddressGeolocate a Russian IP address to determine its city/region.
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 CountryTool to suggest countries based on user input.
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 FIAS AddressTool to suggest addresses from FIAS/GAR database.
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 Medical PositionTool to autocomplete and suggest medical positions and specialties.
Suggest MetroTool to suggest metro stations.
Suggest MKTUAutocomplete and search for MKTU (Nice Classification) codes used for trademark registration.
Suggest NameTool to autocomplete and suggest full names (FIO).
Suggest OKPD2Tool to autocomplete and suggest Russian product classification codes (OKPD2).
Suggest OKPDTR PositionTool to autocomplete and suggest Russian job positions from OKPDTR classifier.
Suggest OKPDTR ProfessionTool to autocomplete and suggest professions from OKPDTR classifier.
Suggest OKTMOSuggest Russian municipal territory codes (OKTMO) by code prefix or partial name.
Suggest OKVED2Tool to suggest OKVED2 codes by text query.
Suggest PartyTool to autocomplete and suggest Russian companies or entrepreneurs.
Suggest Belarus PartyTool to autocomplete and suggest Belarusian companies or entrepreneurs.
Suggest Kazakhstan CompanyTool to autocomplete and suggest Kazakhstan companies or entrepreneurs.
Suggest Postal OfficeSuggests Russian Post offices by postal code or address.
Suggest Postal UnitSuggests Russian Post offices (Почта России) by postal code or address.

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

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Dadata ru account you can connect to Composio
  • Some basic familiarity with Autogen and Python async

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 python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Dadata ru via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's Dadata ru connections to use

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Dadata ru session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["dadata_ru"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Dadata ru tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Dadata ru assistant agent with MCP tools
    agent = AssistantAgent(
        name="dadata_ru_assistant",
        description="An AI assistant that helps with Dadata ru operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Dadata ru tools from the workbench

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Dadata ru related question or task to the agent.\n")

# Conversation loop
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")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Dadata ru tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

Here's the complete code to get you started with Dadata ru and AutoGen:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Dadata ru session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["dadata_ru"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Dadata ru assistant agent with MCP tools
        agent = AssistantAgent(
            name="dadata_ru_assistant",
            description="An AI assistant that helps with Dadata ru operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Dadata ru related question or task to the agent.\n")

        # Conversation loop
        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")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

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

Conclusion

You now have an Autogen assistant wired into Dadata ru through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Dadata ru, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

How to build Dadata ru MCP Agent with another framework

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 Autogen?

Yes, you can. Autogen 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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