# How to integrate Persistiq MCP with Pydantic AI ```json { "title": "How to integrate Persistiq MCP with Pydantic AI", "toolkit": "Persistiq", "toolkit_slug": "persistiq", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/persistiq/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/persistiq/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:21:50.640Z" } ``` ## Introduction This guide walks you through connecting Persistiq to Pydantic AI using the Composio tool router. By the end, you'll have a working Persistiq agent that can send personalized cold emails to new leads, create a follow-up sequence for prospects, log a completed sales call as a task through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Persistiq account through Composio's Persistiq MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Persistiq with - [OpenAI Agents SDK](https://composio.dev/toolkits/persistiq/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/persistiq/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/persistiq/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/persistiq/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/persistiq/framework/codex) - [OpenClaw](https://composio.dev/toolkits/persistiq/framework/openclaw) - [Hermes](https://composio.dev/toolkits/persistiq/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/persistiq/framework/cli) - [Google ADK](https://composio.dev/toolkits/persistiq/framework/google-adk) - [LangChain](https://composio.dev/toolkits/persistiq/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/persistiq/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/persistiq/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/persistiq/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/persistiq/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 Persistiq - 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 Persistiq 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 Persistiq MCP server, and what's possible with it? The Persistiq MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your PersistIQ account. It provides structured and secure access to your sales automation workflows, so your agent can perform actions like managing campaigns, sending personalized emails, creating and updating leads, and automating sales tasks on your behalf. - Personalized email campaign management: Let your agent create, schedule, and manage outbound email sequences to engage prospects at scale. - Lead and contact automation: Seamlessly add, update, or remove leads and contacts, ensuring your sales pipeline is always fresh and accurate. - Automated task handling: Enable your agent to create, update, or complete tasks, helping your team stay on top of follow-ups and to-dos. - Activity tracking and reporting: Retrieve detailed reports and track engagement metrics, like email opens and replies, to measure campaign effectiveness. - Sequence step optimization: Adjust and optimize sequence steps or schedules based on real-time insights, maximizing outreach performance. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `PERSISTIQ_ADD_LEAD_TO_CAMPAIGN` | Add Lead To Campaign | Tool to add a lead to a specified campaign. Use when you have lead details and a campaign ID to enroll the lead into the campaign. | | `PERSISTIQ_CREATE_CAMPAIGN` | Create Campaign | Tool to create a new campaign in PersistIQ. Use when you need to set up a new outreach campaign with a specific owner. | | `PERSISTIQ_CREATE_DNC_DOMAIN` | Create Do Not Contact Domain | Tool to create a Do Not Contact domain. Use when you need to block emails from being sent to addresses at a specific domain without manual approval. | | `PERSISTIQ_CREATE_LEADS` | Create Leads | Tool to bulk create up to 10 leads. Use when you have multiple new contacts and need optional duplicate-handling. | | `PERSISTIQ_LIST_CAMPAIGNS` | List Campaigns | Tool to list campaigns. Use when you need to fetch multiple campaigns with optional filters and pagination after setting up your filter criteria. | | `PERSISTIQ_LIST_DNC_DOMAINS` | List Do Not Contact Domains | Tool to list Do Not Contact domains. Use when you need to retrieve all domains marked as DNC. | | `PERSISTIQ_LIST_EVENTS` | List Events | Tool to retrieve a list of PersistIQ events. Use when you need to fetch events filtered by group, campaign, lead, user, or time range. | | `PERSISTIQ_LIST_LEAD_FIELDS` | List Lead Fields | Tool to list all lead fields for your company. Use when you need to retrieve available custom lead fields. | | `PERSISTIQ_LIST_LEADS` | List Leads | Tool to list leads from PersistIQ. Use when you need to fetch a paginated list of leads, optionally filtering by status or updated_after. | | `PERSISTIQ_LIST_LEAD_STATUSES` | List lead statuses | Tool to retrieve all lead statuses for your company. Use when you need to list available lead statuses after confirming authentication with PersistIQ. | | `PERSISTIQ_LIST_USERS` | List Users | Tool to list all non-archived users in your company. Use when you need to retrieve user information including id, name, email, activated status, default_mailbox_id, and salesforce_id. | | `PERSISTIQ_REMOVE_LEAD_FROM_CAMPAIGN` | Remove Lead From Campaign | Tool to remove a lead from a specified campaign. Use when you need to detach a lead from an existing campaign after confirming both IDs. | | `PERSISTIQ_UPDATE_LEAD` | Update Lead | Tool to update a lead's information. Use when you need to modify fields (status, tags, or custom attributes) of an existing lead. Call after confirming the lead_id. | | `PERSISTIQ_VIEW_LEAD` | View Lead | Tool to retrieve a lead by its ID. Use when you have the lead ID and need its detailed information. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Persistiq MCP server is an implementation of the Model Context Protocol that connects your AI agent to Persistiq. It provides structured and secure access so your agent can perform Persistiq 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 Persistiq - 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 Persistiq - MCPServerStreamableHTTP connects to the Persistiq 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 Persistiq 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 Persistiq composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["persistiq"], ) 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 Persistiq endpoint - The agent uses GPT-5 to interpret user commands and perform Persistiq operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent persistiq_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[persistiq_mcp], instructions=( "You are a Persistiq assistant. Use Persistiq 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 - Persistiq 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 Persistiq.\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 Persistiq composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["persistiq"], ) 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 persistiq_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[persistiq_mcp], instructions=( "You are a Persistiq assistant. Use Persistiq 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 Persistiq.\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 Persistiq through Composio's Tool Router. With this setup, your agent can perform real Persistiq 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 + Persistiq 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 Persistiq MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/persistiq/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/persistiq/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/persistiq/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/persistiq/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/persistiq/framework/codex) - [OpenClaw](https://composio.dev/toolkits/persistiq/framework/openclaw) - [Hermes](https://composio.dev/toolkits/persistiq/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/persistiq/framework/cli) - [Google ADK](https://composio.dev/toolkits/persistiq/framework/google-adk) - [LangChain](https://composio.dev/toolkits/persistiq/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/persistiq/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/persistiq/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/persistiq/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/persistiq/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. - [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. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Persistiq MCP? With a standalone Persistiq MCP server, the agents and LLMs can only access a fixed set of Persistiq tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Persistiq 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 Persistiq tools. ### Can I manage the permissions and scopes for Persistiq while using Tool Router? Yes, absolutely. You can configure which Persistiq 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 Persistiq data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)