# How to integrate Tomba MCP with Pydantic AI ```json { "title": "How to integrate Tomba MCP with Pydantic AI", "toolkit": "Tomba", "toolkit_slug": "tomba", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/tomba/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/tomba/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:28:53.541Z" } ``` ## Introduction This guide walks you through connecting Tomba to Pydantic AI using the Composio tool router. By the end, you'll have a working Tomba agent that can find all leads from example.com domain, check if this email is disposable, list your current api keys in tomba through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Tomba account through Composio's Tomba MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Tomba with - [OpenAI Agents SDK](https://composio.dev/toolkits/tomba/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/tomba/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/tomba/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/tomba/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/tomba/framework/codex) - [OpenClaw](https://composio.dev/toolkits/tomba/framework/openclaw) - [Hermes](https://composio.dev/toolkits/tomba/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/tomba/framework/cli) - [Google ADK](https://composio.dev/toolkits/tomba/framework/google-adk) - [LangChain](https://composio.dev/toolkits/tomba/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/tomba/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/tomba/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/tomba/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/tomba/framework/crew-ai) ## 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 Tomba - 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 Tomba 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 Tomba MCP server, and what's possible with it? The Tomba MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Tomba account. It provides structured and secure access to your B2B email finding, lead management, and account configuration tools, so your agent can perform actions like discovering leads, managing lists, validating domains, and monitoring account usage on your behalf. - Lead discovery and enrichment: Ask your agent to list available lead attributes or add new leads directly into your Tomba account for streamlined outreach. - Lead list management: Effortlessly retrieve, update, or delete lead lists, helping you stay organized and keep your data current. - Domain validation and status checks: Have your agent check if a domain is webmail or disposable to ensure better deliverability and lead quality. - API key and account management: Direct your agent to list, create, or revoke API keys, and review usage statistics to keep your Tomba integration secure and efficient. - Usage monitoring and reporting: Let your agent fetch up-to-date API usage statistics, keeping you informed about your plan limits and consumption. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `TOMBA_ATTRIBUTES_LIST` | List Lead Attributes | Retrieves all custom lead attributes defined in your Tomba account. Use this action to discover the available attributes that can be used when creating or updating leads. Returns attribute metadata including name, identifier, type, and timestamps. No input parameters required. | | `TOMBA_DOMAIN_STATUS` | Domain Status | Tool to check if a domain is webmail or disposable. Use when validating email deliverability constraints. | | `TOMBA_KEYS_DELETE` | Delete API Key by ID | Tool to delete an API key by its numeric ID. Use when you need to permanently revoke an API key before its expiration. Note: You can get the numeric key ID from the TOMBA_KEYS_LIST action. | | `TOMBA_KEYS_LIST` | List API Keys | Tool to list all API keys. Use when you want to retrieve information about your existing Tomba API keys. | | `TOMBA_LEADS_CREATE` | Create Lead | Create a new lead in Tomba's lead database. Use this to store contact information for a person you want to track. Returns the unique ID of the created lead. Required fields: first_name, email. All other fields are optional. | | `TOMBA_LEADS_LIST` | List Leads | Tool to list all leads. Use when you need to retrieve and paginate your leads list. | | `TOMBA_LISTS_DELETE` | Delete Leads List by ID | Tool to delete a leads list by ID. Use when you need to permanently remove a list after confirming its ID. | | `TOMBA_LISTS_LIST` | List Lead Lists | Tool to list all lead lists. Use when you need to retrieve and paginate your lead lists. | | `TOMBA_LISTS_UPDATE` | Update Leads List | Tool to update a leads list's name by ID. Use when renaming an existing list after obtaining its ID. | | `TOMBA_USAGE_STATS` | Get Usage Statistics | Tool to get API usage statistics. Use when you need to monitor account usage and avoid hitting limits. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Tomba MCP server is an implementation of the Model Context Protocol that connects your AI agent to Tomba. It provides structured and secure access so your agent can perform Tomba operations on your behalf through a secure, permission-based interface. With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster. ## Step-by-step Guide ### 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 ### 1. Getting API Keys for OpenAI and Composio OpenAI API Key - Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs). - Navigate to your API settings and generate a new API key. - Store this key securely as you'll need it for authentication. ### 2. Install dependencies Install the required libraries. What's happening: - composio connects your agent to external SaaS tools like Tomba - pydantic-ai lets you create structured AI agents with tool support - python-dotenv loads your environment variables securely from a .env file ```bash pip install composio pydantic-ai python-dotenv ``` ### 3. Set up environment variables 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 ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key ``` ### 4. Import dependencies What's happening: - We load environment variables and import required modules - Composio manages connections to Tomba - MCPServerStreamableHTTP connects to the Tomba MCP server endpoint - Agent from Pydantic AI lets you define and run the AI assistant ```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() ``` ### 5. Create a Tool Router Session What's happening: - We're creating a Tool Router session that gives your agent access to Tomba 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 ```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 Tomba composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["tomba"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") ``` ### 6. Initialize the Pydantic AI Agent What's happening: - The MCP client connects to the Tomba endpoint - The agent uses GPT-5 to interpret user commands and perform Tomba operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent tomba_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[tomba_mcp], instructions=( "You are a Tomba assistant. Use Tomba tools to help users " "with their requests. Ask clarifying questions when needed." ), ) ``` ### 7. Build the chat interface What's happening: - The agent reads input from the terminal and streams its response - Tomba API calls happen automatically under the hood - The model keeps conversation history to maintain context across turns ```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 Tomba.\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() ``` ### 8. Run the application What's happening: - The asyncio loop launches the agent and keeps it running until you exit ```python if __name__ == "__main__": asyncio.run(main()) ``` ## Complete Code ```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 Tomba composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["tomba"], ) 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 tomba_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[tomba_mcp], instructions=( "You are a Tomba assistant. Use Tomba 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 Tomba.\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 Tomba through Composio's Tool Router. With this setup, your agent can perform real Tomba 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 + Tomba 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 Tomba MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/tomba/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/tomba/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/tomba/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/tomba/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/tomba/framework/codex) - [OpenClaw](https://composio.dev/toolkits/tomba/framework/openclaw) - [Hermes](https://composio.dev/toolkits/tomba/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/tomba/framework/cli) - [Google ADK](https://composio.dev/toolkits/tomba/framework/google-adk) - [LangChain](https://composio.dev/toolkits/tomba/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/tomba/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/tomba/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/tomba/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/tomba/framework/crew-ai) ## Related Toolkits - [Aeroleads](https://composio.dev/toolkits/aeroleads) - Aeroleads is a B2B lead generation platform for finding business emails and phone numbers. Grow your sales pipeline faster with powerful prospecting tools. - [Autobound](https://composio.dev/toolkits/autobound) - Autobound is an AI-powered sales engagement platform that crafts hyper-personalized outreach and insights. It helps sales teams boost response rates and close more deals through tailored content and recommendations. - [Better proposals](https://composio.dev/toolkits/better_proposals) - Better Proposals is a web-based tool for crafting and sending professional proposals. It helps teams impress clients and close deals faster with slick, easy-to-use templates. - [Bidsketch](https://composio.dev/toolkits/bidsketch) - Bidsketch is a proposal software that helps businesses create professional proposals quickly and efficiently. It streamlines the proposal process, saving time while boosting client win rates. - [Bolna](https://composio.dev/toolkits/bolna) - Bolna is an AI platform for building conversational voice agents. It helps businesses automate support and streamline interactions through natural, voice-powered conversations. - [Botsonic](https://composio.dev/toolkits/botsonic) - Botsonic is a no-code AI chatbot builder for easily creating and deploying chatbots to your website. It empowers businesses to offer conversational experiences without writing code. - [Botstar](https://composio.dev/toolkits/botstar) - BotStar is a comprehensive chatbot platform for designing, developing, and training chatbots visually on Messenger and websites. It helps businesses automate conversations and customer interactions without coding. - [Callerapi](https://composio.dev/toolkits/callerapi) - CallerAPI is a white-label caller identification platform for branded caller ID and fraud prevention. It helps businesses boost customer trust while stopping spam, fraud, and robocalls. - [Callingly](https://composio.dev/toolkits/callingly) - Callingly is a lead response management platform that automates immediate call and text follow-ups with new leads. It helps sales teams boost response speed and close more deals by connecting seamlessly with CRMs and lead sources. - [Callpage](https://composio.dev/toolkits/callpage) - Callpage is a lead capture platform that lets businesses instantly connect with website visitors via callback. It boosts lead generation and increases your sales conversion rates. - [Clearout](https://composio.dev/toolkits/clearout) - Clearout is an AI-powered service for verifying, finding, and enriching email addresses. It boosts deliverability and helps you discover high-quality leads effortlessly. - [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time. - [Convolo ai](https://composio.dev/toolkits/convolo_ai) - Convolo ai is an AI-powered communications platform for sales teams. It accelerates lead response and improves conversion rates by automating calls and integrating workflows. - [Delighted](https://composio.dev/toolkits/delighted) - Delighted is a customer feedback platform based on the Net Promoter System®. It helps you quickly gather, track, and act on customer sentiment. - [Emelia](https://composio.dev/toolkits/emelia) - Emelia is an all-in-one B2B prospecting platform for cold-email, LinkedIn outreach, and prospect research. It streamlines outbound campaigns so you can find, engage, and warm up leads faster. - [Findymail](https://composio.dev/toolkits/findymail) - Findymail is a B2B data provider offering verified email and phone contacts for sales prospecting. Enhance outreach with automated exports, email verification, and CRM enrichment. - [Freshdesk](https://composio.dev/toolkits/freshdesk) - Freshdesk is customer support software with ticketing and automation tools. It helps teams streamline helpdesk operations for faster, better customer support. - [Fullenrich](https://composio.dev/toolkits/fullenrich) - FullEnrich is a B2B contact enrichment platform that aggregates emails and phone numbers from 15+ data vendors. Instantly find and verify lead contact data to boost your outreach. - [Gatherup](https://composio.dev/toolkits/gatherup) - GatherUp is a customer feedback and online review management platform. It helps businesses boost their reputation by streamlining how they collect and manage customer feedback. - [Getprospect](https://composio.dev/toolkits/getprospect) - Getprospect is a business email discovery tool with LinkedIn integration. Use it to quickly find and verify professional email addresses. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Tomba MCP? With a standalone Tomba MCP server, the agents and LLMs can only access a fixed set of Tomba tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Tomba 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 Tomba tools. ### Can I manage the permissions and scopes for Tomba while using Tool Router? Yes, absolutely. You can configure which Tomba 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 Tomba data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)