# How to integrate Textit MCP with Pydantic AI ```json { "title": "How to integrate Textit MCP with Pydantic AI", "toolkit": "Textit", "toolkit_slug": "textit", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/textit/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/textit/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:28:17.083Z" } ``` ## Introduction This guide walks you through connecting Textit to Pydantic AI using the Composio tool router. By the end, you'll have a working Textit agent that can create a new campaign for event reminders, list all contact groups for segmentation, retrieve details about a specific campaign through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Textit account through Composio's Textit MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Textit with - [OpenAI Agents SDK](https://composio.dev/toolkits/textit/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/textit/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/textit/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/textit/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/textit/framework/codex) - [OpenClaw](https://composio.dev/toolkits/textit/framework/openclaw) - [Hermes](https://composio.dev/toolkits/textit/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/textit/framework/cli) - [Google ADK](https://composio.dev/toolkits/textit/framework/google-adk) - [LangChain](https://composio.dev/toolkits/textit/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/textit/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/textit/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/textit/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/textit/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 Textit - 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 Textit 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 Textit MCP server, and what's possible with it? The Textit MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Textit account. It provides structured and secure access to your chatbots, contacts, campaigns, and messaging flows, so your agent can create campaigns, manage contact groups, organize labels, retrieve broadcasts, and handle messaging operations on your behalf. - Automated campaign management: Let your agent create, retrieve, or list messaging campaigns, helping you launch outreach efforts to targeted contact groups without lifting a finger. - Contact group creation and segmentation: Easily segment your audience by having your agent create or delete contact groups, keeping your communication organized and relevant. - Custom label organization: Enable your agent to create new message labels, allowing for smarter categorization and easier tracking of important conversations or topics. - Broadcast and archive retrieval: Effortlessly fetch lists of broadcasts or message archives, so your agent can provide summaries or analyze past messaging performance. - Contact management: Direct your agent to delete outdated or unnecessary contacts, ensuring your database stays clean and up-to-date automatically. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `TEXTIT_CREATE_CAMPAIGN` | Create Campaign | Tool to create a new campaign in TextIt. Use when you need to start a messaging campaign for a specific contact group. | | `TEXTIT_CREATE_GROUP` | Create Contact Group | Tool to create a new contact group. Use when segmenting contacts before sending messages. | | `TEXTIT_CREATE_LABEL` | Create Label | Tool to create a new message label. Use when you need to categorize messages. Example: Create a label 'Important'. Creates a label under your organization using the TextIt Labels API. | | `TEXTIT_DELETE_CONTACT` | Delete Contact | Tool to delete an existing contact. Use when you have the contact's UUID and need to remove it. | | `TEXTIT_DELETE_GROUP` | Delete Contact Group | Tool to delete an existing contact group. Use after ensuring the group has no active triggers or campaigns. | | `TEXTIT_DELETE_LABEL` | Delete Label | Tool to delete a message label by UUID. Use when you need to remove an existing label from your TextIt workspace. | | `TEXTIT_GET_CAMPAIGN` | Get Campaign | Tool to retrieve details about a specific campaign. Use when you have the campaign's UUID and need its full metadata. | | `TEXTIT_GET_WORKSPACE` | Get Workspace | Tool to retrieve current workspace details including name, country, languages, and timezone. Use when you need workspace configuration information. | | `TEXTIT_LIST_ARCHIVES` | List Archives | Tool to retrieve a list of message and run archives. Use when you need to browse or manage existing archives after authenticating. | | `TEXTIT_LIST_BROADCASTS` | List Broadcasts | Tool to list broadcasts. Use when you need to retrieve broadcasts with optional filters and pagination. | | `TEXTIT_LIST_CAMPAIGN_EVENTS2` | List Campaign Events 2 | Tool to retrieve campaign events with optional filtering. Use when you need to list scheduled triggers within campaigns, optionally filtering by event UUID or campaign UUID. | | `TEXTIT_LIST_CAMPAIGNS` | List Campaigns | Tool to list campaigns. Use after authentication to retrieve campaigns, optionally filtering by uuid or date range. | | `TEXTIT_LIST_CHANNELS` | List Channels | Tool to list channels. Use when you need to retrieve a paginated list of your organization's channels after confirming authentication. | | `TEXTIT_LIST_CLASSIFIERS` | List Classifiers | Tool to list NLU classifiers configured for your organization. Use when you need to retrieve natural language understanding classifiers (wit.ai, luis, bothub) after confirming authentication. | | `TEXTIT_LIST_CONTACTS` | List Contacts | Tool to retrieve a list of contacts. Use when you need to fetch contacts with optional filters (UUID, URN, group, or modified date). Use after authenticating your client. | | `TEXTIT_LIST_FIELDS` | List custom contact fields | Tool to retrieve a list of custom contact fields. Use when you need to view or filter all defined contact fields with pagination and optional search. | | `TEXTIT_LIST_FLOWS` | List Flows | Tool to retrieve a list of flows for your organization. Use when you need to fetch automated conversation flows with optional filters (UUID, type, archived status, or modified date). | | `TEXTIT_LIST_FLOW_STARTS` | List Flow Starts | Tool to retrieve a list of manual flow starts. Use when you need to fetch flow start records with optional filters and pagination. | | `TEXTIT_LIST_GLOBALS` | List Globals | Tool to list global variables. Use when you need to retrieve all workspace-level variables after authenticating. | | `TEXTIT_LIST_GROUPS2` | List Groups | Tool to list contact groups for your organization. Use when you need to fetch groups with optional filtering by uuid or name. | | `TEXTIT_LIST_LABELS2` | List Labels 2 | Tool to retrieve a list of message labels for your organization. Use when you need to filter labels by UUID or name. | | `TEXTIT_LIST_MESSAGES` | List Messages | Tool to retrieve a list of messages. Use when you need to fetch messages with optional filters (UUID, folder, contact, broadcast, or date range). Results are paginated. | | `TEXTIT_LIST_RESTHOOK_EVENTS` | List Resthook Events | Tool to retrieve recent resthook events for your organization. Use when you need to inspect webhook events that have been triggered, optionally filtered by resthook slug. Events are returned in reverse chronological order. | | `TEXTIT_LIST_RESTHOOKS` | List Resthooks | Tool to list configured resthooks (webhooks). Use when you need to retrieve the resthooks configured in your TextIt account. | | `TEXTIT_LIST_RESTHOOK_SUBSCRIBERS` | List Resthook Subscribers | Tool to list webhook subscribers for your organization's resthooks. Use when you need to retrieve the target URLs that receive webhook events for specific resthooks. | | `TEXTIT_LIST_RUNS` | List Runs | Tool to retrieve a list of flow runs. Use when you need to filter or browse run history by flow, contact, or status. | | `TEXTIT_LIST_TICKETS` | List Tickets | Tool to retrieve support tickets for your organization. Use when you need to fetch tickets with optional filters (UUID, contact, topic, or assignee). Returns paginated ticket data. | | `TEXTIT_LIST_TOPICS2` | List Topics V2 | Tool to list topics in the workspace for categorizing tickets. Use when you need to retrieve topics, optionally filtered by UUID. | | `TEXTIT_LIST_USERS` | List Users | Tool to retrieve a list of user logins in your workspace with their roles and teams. Use when you need to fetch users with optional UUID filter. Results are ordered by newest created first. | | `TEXTIT_SEND_BROADCAST` | Send Broadcast | Tool to send a new broadcast message. Use after composing message translations and selecting recipients (urns, contacts, or groups). | | `TEXTIT_UPDATE_CONTACT` | Update Contact | Tool to update an existing contact. Use after identifying the contact's UUID or URN and preparing details. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Textit MCP server is an implementation of the Model Context Protocol that connects your AI agent to Textit. It provides structured and secure access so your agent can perform Textit 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 Textit - 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 Textit - MCPServerStreamableHTTP connects to the Textit 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 Textit 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 Textit composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["textit"], ) 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 Textit endpoint - The agent uses GPT-5 to interpret user commands and perform Textit operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent textit_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[textit_mcp], instructions=( "You are a Textit assistant. Use Textit 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 - Textit 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 Textit.\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 Textit composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["textit"], ) 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 textit_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[textit_mcp], instructions=( "You are a Textit assistant. Use Textit 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 Textit.\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 Textit through Composio's Tool Router. With this setup, your agent can perform real Textit 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 + Textit 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 Textit MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/textit/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/textit/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/textit/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/textit/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/textit/framework/codex) - [OpenClaw](https://composio.dev/toolkits/textit/framework/openclaw) - [Hermes](https://composio.dev/toolkits/textit/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/textit/framework/cli) - [Google ADK](https://composio.dev/toolkits/textit/framework/google-adk) - [LangChain](https://composio.dev/toolkits/textit/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/textit/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/textit/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/textit/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/textit/framework/crew-ai) ## Related Toolkits - [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable. - [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management. - [Slack](https://composio.dev/toolkits/slack) - Slack is a channel-based messaging platform for teams and organizations. It helps people collaborate in real time, share files, and connect all their tools in one place. - [Gong](https://composio.dev/toolkits/gong) - Gong is a platform for video meetings, call recording, and team collaboration. It helps teams capture conversations, analyze calls, and turn insights into action. - [Microsoft teams](https://composio.dev/toolkits/microsoft_teams) - Microsoft Teams is a collaboration platform that combines chat, meetings, and file sharing within Microsoft 365. It keeps distributed teams connected and productive through seamless virtual communication. - [Slackbot](https://composio.dev/toolkits/slackbot) - Slackbot is a conversational automation tool for Slack that handles reminders, notifications, and automated responses. It boosts team productivity by streamlining onboarding, answering FAQs, and managing timely alerts—all right inside Slack. - [2chat](https://composio.dev/toolkits/_2chat) - 2chat is an API platform for WhatsApp and multichannel text messaging. It streamlines chat automation, group management, and real-time messaging for developers. - [Agent mail](https://composio.dev/toolkits/agent_mail) - Agent mail provides AI agents with dedicated email inboxes for sending, receiving, and managing emails. It empowers agents to communicate autonomously with people, services, and other agents—no human intervention needed. - [Basecamp](https://composio.dev/toolkits/basecamp) - Basecamp is a project management and team collaboration tool by 37signals. It helps teams organize tasks, share files, and communicate efficiently in one place. - [Chatwork](https://composio.dev/toolkits/chatwork) - Chatwork is a team communication platform with group chats, file sharing, and task management. It helps businesses boost collaboration and streamline productivity. - [Clickmeeting](https://composio.dev/toolkits/clickmeeting) - ClickMeeting is a cloud-based platform for running online meetings and webinars. It helps businesses and individuals host, manage, and engage virtual audiences with ease. - [Confluence](https://composio.dev/toolkits/confluence) - Confluence is Atlassian's team collaboration and knowledge management platform. It helps your team organize, share, and update documents and project content in one secure workspace. - [Dailybot](https://composio.dev/toolkits/dailybot) - DailyBot streamlines team collaboration with chat-based standups, reminders, and polls. It keeps work flowing smoothly in your favorite messaging platforms. - [Dialmycalls](https://composio.dev/toolkits/dialmycalls) - Dialmycalls is a mass notification service for sending voice and text messages to contacts. It helps teams and organizations quickly broadcast urgent alerts and updates. - [Dialpad](https://composio.dev/toolkits/dialpad) - Dialpad is a cloud-based business phone and contact center system for teams. It unifies voice, video, messaging, and meetings across your devices. - [Discord](https://composio.dev/toolkits/discord) - Discord is a real-time messaging and VoIP platform for communities and teams. It lets users chat, share media, and collaborate across public and private channels. - [Discordbot](https://composio.dev/toolkits/discordbot) - Discordbot is an automation tool for Discord servers that handles moderation, messaging, and user engagement. It helps communities run smoothly by automating routine and complex tasks. - [Echtpost](https://composio.dev/toolkits/echtpost) - Echtpost is a secure digital communication platform for encrypted document and message exchange. It ensures confidential data stays private and protected during transmission. - [Egnyte](https://composio.dev/toolkits/egnyte) - Egnyte is a cloud-based platform for secure file sharing, storage, and governance. It helps teams collaborate efficiently while maintaining data compliance and security. - [Google Meet](https://composio.dev/toolkits/googlemeet) - Google Meet is a secure video conferencing platform for virtual meetings, chat, and screen sharing. It helps teams connect, collaborate, and communicate seamlessly from anywhere. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Textit MCP? With a standalone Textit MCP server, the agents and LLMs can only access a fixed set of Textit tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Textit 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 Textit tools. ### Can I manage the permissions and scopes for Textit while using Tool Router? Yes, absolutely. You can configure which Textit 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 Textit data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)