# How to integrate Botsonic MCP with Pydantic AI ```json { "title": "How to integrate Botsonic MCP with Pydantic AI", "toolkit": "Botsonic", "toolkit_slug": "botsonic", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/botsonic/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/botsonic/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:03:47.192Z" } ``` ## Introduction This guide walks you through connecting Botsonic to Pydantic AI using the Composio tool router. By the end, you'll have a working Botsonic agent that can list all bots in your account, export all conversation threads for review, bulk upload website urls to train a bot through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Botsonic account through Composio's Botsonic MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Botsonic with - [OpenAI Agents SDK](https://composio.dev/toolkits/botsonic/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/botsonic/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/botsonic/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/botsonic/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/botsonic/framework/codex) - [OpenClaw](https://composio.dev/toolkits/botsonic/framework/openclaw) - [Hermes](https://composio.dev/toolkits/botsonic/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/botsonic/framework/cli) - [Google ADK](https://composio.dev/toolkits/botsonic/framework/google-adk) - [LangChain](https://composio.dev/toolkits/botsonic/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/botsonic/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/botsonic/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/botsonic/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/botsonic/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 Botsonic - 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 Botsonic 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 Botsonic MCP server, and what's possible with it? The Botsonic MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Botsonic account. It provides structured and secure access to your chatbots, enabling your agent to manage bots, upload training data, oversee conversations, and handle FAQs with ease. - Bulk training data uploads: Effortlessly upload multiple URLs or documents to your bot for rapid and comprehensive training updates. - Bot management and retrieval: Instantly list all your bots, fetch detailed data, or export entire bot assets for backup or review. - Conversation analytics and monitoring: Retrieve all conversations related to any bot—perfect for analyzing user interactions or tracking support queries. - FAQ and starter question management: List, update, or remove FAQ entries and starter questions to keep your chatbot responses relevant and up to date. - Data and file cleanup: Direct your agent to delete outdated files or bot data, ensuring your chatbot remains efficient and well-organized. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `BOTSONIC_BULK_UPLOAD_URLS` | Bulk Upload Bot URLs | Tool to bulk upload URLs for bot training. Use when you need to upsert multiple document URLs into a bot in one request. | | `BOTSONIC_CREATE_STARTER_QUESTION` | Create Starter Question | Tool to create a new starter question for the bot. Use when you need to add a preset question-answer pair that users can quickly select. | | `BOTSONIC_DELETE_STARTER_QUESTION` | Delete Starter Question | Deletes a specific starter question from a bot using its unique identifier. This operation is destructive and permanent. First retrieve available starter questions using the Get All Starter Questions action to obtain valid IDs before deletion. | | `BOTSONIC_DELETE_UPLOADED_FILE` | Delete Uploaded File | Delete a specific uploaded file/bot data entry by its unique identifier. This permanently removes the file from the bot's training data. Use this action when you need to clean up outdated content, remove incorrect data, or manage bot training materials. The file ID can be obtained using the Get All Bot Data action. Returns the full deleted object details including metadata, status, and timestamps. | | `BOTSONIC_GET_ALL_BOT_DATA` | Get All Bot Data | Tool to retrieve all data associated with the bot, including files and resources. Use when you need a comprehensive export of bot assets for backup or inspection. | | `BOTSONIC_GET_ALL_BOTS` | Get All Bots | Retrieve all bots associated with your account. Supports pagination, search, and sorting to efficiently manage and query bot configurations. Use this when you need to list, search, or filter existing bots. | | `BOTSONIC_GET_ALL_CONVERSATIONS` | Get All Conversations | Tool to retrieve all conversations related to the bot. Use after authentication when you need a paginated list of conversation threads for review or analytics. | | `BOTSONIC_GET_ALL_CONVERSATIONS_WITH_SOURCE` | Get All Conversations With Source | Tool to retrieve all conversations with source information. Use when you need detailed conversation data including source tracking, user form data, and comprehensive metadata for analytics or conversation management. | | `BOTSONIC_GET_ALL_FAQS` | Get All FAQs | Retrieve all frequently asked questions (FAQs) associated with your bot in paginated format. Returns a list of FAQ entries with their questions, answers, status, and metadata. Supports filtering by search query, sorting by various attributes, and pagination controls. Use this when you need to list, review, or manage bot FAQ entries. | | `BOTSONIC_GET_ALL_STARTER_PRESETS` | Get All Starter Presets | Tool to retrieve all starter presets for a bot by bot ID. Use when you need to fetch the bot's welcome message and starter questions configured for user interactions. | | `BOTSONIC_GET_ALL_STARTER_QUESTIONS` | Get All Starter Questions | Tool to retrieve all starter questions. Use after authenticating when you need to list the bot’s opening prompts. | | `BOTSONIC_UPDATE_STARTER_QUESTION` | Update Starter Question | Tool to update an existing starter question by its unique identifier. Use after confirming the ID and desired updates. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Botsonic MCP server is an implementation of the Model Context Protocol that connects your AI agent to Botsonic. It provides structured and secure access so your agent can perform Botsonic 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 Botsonic - 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 Botsonic - MCPServerStreamableHTTP connects to the Botsonic 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 Botsonic 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 Botsonic composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["botsonic"], ) 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 Botsonic endpoint - The agent uses GPT-5 to interpret user commands and perform Botsonic operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent botsonic_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[botsonic_mcp], instructions=( "You are a Botsonic assistant. Use Botsonic 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 - Botsonic 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 Botsonic.\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 Botsonic composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["botsonic"], ) 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 botsonic_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[botsonic_mcp], instructions=( "You are a Botsonic assistant. Use Botsonic 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 Botsonic.\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 Botsonic through Composio's Tool Router. With this setup, your agent can perform real Botsonic 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 + Botsonic 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 Botsonic MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/botsonic/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/botsonic/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/botsonic/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/botsonic/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/botsonic/framework/codex) - [OpenClaw](https://composio.dev/toolkits/botsonic/framework/openclaw) - [Hermes](https://composio.dev/toolkits/botsonic/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/botsonic/framework/cli) - [Google ADK](https://composio.dev/toolkits/botsonic/framework/google-adk) - [LangChain](https://composio.dev/toolkits/botsonic/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/botsonic/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/botsonic/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/botsonic/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/botsonic/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. - [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. - [Docsbot ai](https://composio.dev/toolkits/docsbot_ai) - Docsbot ai is a platform that lets you build custom AI chatbots trained on your documentation. It automates customer support and content generation, saving time and improving response quality. - [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 Botsonic MCP? With a standalone Botsonic MCP server, the agents and LLMs can only access a fixed set of Botsonic tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Botsonic 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 Botsonic tools. ### Can I manage the permissions and scopes for Botsonic while using Tool Router? Yes, absolutely. You can configure which Botsonic 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 Botsonic data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)