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How to integrate Yandex MCP with Pydantic AI

Connect Pydantic AI to Yandex MCP. Find walking route from red square to gorky park, look up a business by address in moscow, and more using natural language, with authentication handled for you.

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Yandex is a leading Russian internet services provider offering search, email, maps, and more. It's known for robust email, navigation, and web-based solutions tailored for Russian-speaking users.

21 Tools

Introduction

This guide walks you through connecting Yandex to Pydantic AI using the Composio tool router. By the end, you'll have a working Yandex agent that can reverse geocode coordinates, generate routes, search organizations, browse Yandex Music playlists, and fetch public Yandex Disk files through natural language commands.

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

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

Also integrate Yandex with

Claude CodeClaude CoworkOpenAI Agents SDKClaude Agent SDKCodexOpenClawHermesAtomic AgentGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAIAutoGen

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

The Yandex MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Yandex account. It provides structured and secure access to Yandex search, maps, and business information, so your agent can perform actions like business lookup, reverse geocoding, detailed route planning, and retrieving map tiles on your behalf.

  • Business and organization search: Instantly find businesses or organizations by name, address, or tax ID—perfect for regional lookups and company discovery.
  • Reverse geocoding for precise locations: Translate latitude and longitude into street addresses or place names using Yandex Maps, making it easy to identify places from coordinates.
  • Detailed route generation: Let your agent plan step-by-step driving, walking, or public transportation routes between two points, complete with directions and travel options.
  • Custom map tile retrieval: Fetch specific map tile images by their coordinates and zoom level, enabling custom visualizations or interactive map experiences.

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

Reverse Geocode Coordinates

Tool to convert geographic coordinates to a human-readable address (reverse geocoding).

Get Account Experiments

Tool to retrieve Yandex Music account experimental features and A/B testing flags.

Get Account Status

Tool to retrieve Yandex Music account status and permissions.

Get Music Genres

Tool to retrieve the list of music genres from Yandex Music.

Get Permission Alerts

Tool to retrieve permission alerts and notifications from Yandex Music API.

Get Playlists by Tag

Tool to retrieve playlist IDs associated with a specific tag.

Get Public Resource Metadata

Tool to retrieve metadata for a public file or folder on Yandex Disk.

Get Public Resource Download Link

Tool to get a direct download link for a publicly shared Yandex Disk resource.

Get Rotor Account Status

Tool to retrieve authenticated user's rotor account status with supplementary fields.

Get Rotor Stations Dashboard

Tool to retrieve recommended radio stations for the current user.

Get Yandex Music Settings

Tool to retrieve Yandex Music settings including available purchase products and payment configuration.

Get Yandex Music Stations List

Tool to retrieve all radio stations with user settings from Yandex Music.

Get Track Download Info

Retrieve available download variants for a Yandex Music track, including codecs, bitrates and download-info URLs.

List Filters

Tool to retrieve all filters configured for a Yandex Metrica counter.

List Goals

Tool to retrieve all goals configured for a Yandex Metrica counter.

List Counter Grants

Tool to retrieve the list of permissions (grants) for a Yandex Metrica counter.

List Log Requests

Tool to retrieve a list of log requests for a Yandex Metrica counter.

List Storage Buckets

Tool to list all Yandex Object Storage buckets owned by the authenticated user.

Organization Search

Tool to find businesses and organizations by name, address, or TIN.

Generate detailed route

Generate a detailed route between specified geographic points for driving, truck, walking, public transport, bicycle, or scooter travel.

Yandex Tiles API

Fetch an individual Yandex map tile image by x/y coordinates and zoom level for custom map rendering.

FRAMEWORKS

How to build Yandex MCP Agent with another framework

Claude Code logo

Claude Code

Use Yandex MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Yandex MCP with Claude Cowork

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Yandex MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Yandex MCP with Claude Agent SDK

Codex logo

Codex

Use Yandex MCP with Codex

OpenClaw logo

OpenClaw

Use Yandex MCP with OpenClaw

Hermes logo

Hermes

Use Yandex MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Yandex MCP with Atomic Agent

Google ADK logo

Google ADK

Use Yandex MCP with Google ADK

LangChain logo

LangChain

Use Yandex MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Yandex MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Yandex MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Yandex MCP with LlamaIndex

CrewAI logo

CrewAI

Use Yandex MCP with CrewAI

AutoGen logo

AutoGen

Use Yandex MCP with AutoGen

FAQ

Frequently asked questions

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

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

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