# How to integrate Getprospect MCP with Pydantic AI ```json { "title": "How to integrate Getprospect MCP with Pydantic AI", "toolkit": "Getprospect", "toolkit_slug": "getprospect", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/getprospect/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/getprospect/framework/pydantic-ai.md", "updated_at": "2026-03-29T06:35:12.621Z" } ``` ## Introduction This guide walks you through connecting Getprospect to Pydantic AI using the Composio tool router. By the end, you'll have a working Getprospect agent that can find business email for jane smith at hubspot, enrich linkedin profile for a given contact, verify if john.doe@company.com is deliverable through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Getprospect account through Composio's Getprospect MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Getprospect with - [OpenAI Agents SDK](https://composio.dev/toolkits/getprospect/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/getprospect/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/getprospect/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/getprospect/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/getprospect/framework/codex) - [OpenClaw](https://composio.dev/toolkits/getprospect/framework/openclaw) - [Hermes](https://composio.dev/toolkits/getprospect/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/getprospect/framework/cli) - [Google ADK](https://composio.dev/toolkits/getprospect/framework/google-adk) - [LangChain](https://composio.dev/toolkits/getprospect/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/getprospect/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/getprospect/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/getprospect/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/getprospect/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 Getprospect - 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 Getprospect 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 Getprospect MCP server, and what's possible with it? The Getprospect MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Getprospect account. It provides structured and secure access so your agent can perform Getprospect operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `GETPROSPECT_APPLY_COUPON_CODE` | Apply Coupon Code | Tool to apply a coupon code to the user's account. Use after you need to activate a coupon before using it. | | `GETPROSPECT_CREATE_COMPANY` | Create Company | Tool to create a new company. Use when you need to add a company record via GetProspect API. | | `GETPROSPECT_CREATE_CONTACT` | Create Contact | Tool to create a new contact. Use when you need a fresh contact record before associating it to lists. | | `GETPROSPECT_CREATE_EXPORT` | Create Export | Tool to create a new export job. Use when you need to export contacts or companies based on filters or specific record IDs. Returns HTTP 201 on success. | | `GETPROSPECT_CREATE_CONTACT_LIST` | Create Contact List | Tool to create a new contact list. Use when you need to organize contacts into a named list. | | `GETPROSPECT_DELETE_COMPANY` | Delete Company | Tool to delete a company record by its ID. Use when you have confirmed this company should be permanently removed. | | `GETPROSPECT_DELETE_CONTACT` | Delete Contact | Tool to delete a contact record by its ID. Use when you need to remove a contact; ensure the contact ID exists before calling. | | `GETPROSPECT_DELETE_MULTIPLE_CONTACT_LISTS` | Delete Multiple Contact Lists | Tool to delete multiple contact lists. Use when you have a set of list IDs and want to remove them in bulk. Use after confirming the lists to delete. | | `GETPROSPECT_GET_ACCOUNT_WORKSPACE_LIMITS` | Get account workspace limits | Tool to retrieve workspace limits for the user's account. Use when you need to check current quotas before bulk operations. | | `GETPROSPECT_GET_ALL_COMPANIES` | Get All Companies | Tool to retrieve all companies. Use after obtaining a valid API key. Returns a paginated list of companies for the authenticated user. | | `GETPROSPECT_GET_ALL_CONTACTS` | Get all contacts | Tool to retrieve all contacts. Use when you need to list contacts without filters. | | `GETPROSPECT_GET_ALL_CONTACT_LISTS` | Get All Contact Lists | Tool to retrieve all prospect contact lists. Use when you need to list all existing contact lists for an account. | | `GETPROSPECT_GET_CONTACT_LISTS_COUNT` | Get Contact Lists Count | Tool to retrieve the total count of contact lists. Use when you need to know how many contact lists exist. | | `GETPROSPECT_GET_SINGLE_COMPANY` | Get Single Company | Tool to retrieve details of a single company by its ID. Use when you have a valid company ID and need its full details. | | `GETPROSPECT_GET_SINGLE_CONTACT` | Get Single Contact | Tool to retrieve details of a single contact. Use when you have the contact ID and need its full record. | | `GETPROSPECT_ADD_CONTACTS_TO_LIST` | Add Contacts to List | Tool to add contacts to a specified list. Use when you need to group existing contacts into a list. | | `GETPROSPECT_SEARCH_COMPANIES` | Search Companies | Tool to search for companies by name. Use when you have a company name and need to find matching records. | | `GETPROSPECT_SEARCH_CONTACTS` | Search Contacts | Tool to search for contacts by filters. Use when you need to find contacts matching specific criteria. | | `GETPROSPECT_SEARCH_CONTACTS_IN_LIST` | Search Contacts in List | Tool to search contacts in a specific list. Use when you need to filter contacts associated with a given list. | | `GETPROSPECT_SEARCH_LISTS_BY_NAME` | Search Lists by Name | Tool to search contact lists by name. Use when you need to find lists that match a specific name. | | `GETPROSPECT_UPDATE_COMPANY` | Update Company | Tool to update details of an existing company. Use when you need to modify company properties after confirming the company exists. | | `GETPROSPECT_UPDATE_CONTACT` | Update Contact | Tool to update details of an existing contact. Use when you have the contact ID and need to modify its properties or list assignments. | | `GETPROSPECT_UPDATE_CONTACT_LIST` | Update Contact List | Tool to update a contact list's name. Use when you need to rename an existing list. | | `GETPROSPECT_VERIFY_EMAIL_ADDRESS` | Verify Email Address | Tool to verify an email's deliverability. Use after capturing an email to ensure it's valid. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Getprospect MCP server is an implementation of the Model Context Protocol that connects your AI agent to Getprospect. It provides structured and secure access so your agent can perform Getprospect 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 Getprospect - 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 Getprospect - MCPServerStreamableHTTP connects to the Getprospect 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 Getprospect 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 Getprospect composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["getprospect"], ) 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 Getprospect endpoint - The agent uses GPT-5 to interpret user commands and perform Getprospect operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent getprospect_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[getprospect_mcp], instructions=( "You are a Getprospect assistant. Use Getprospect 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 - Getprospect 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 Getprospect.\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 Getprospect composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["getprospect"], ) 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 getprospect_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[getprospect_mcp], instructions=( "You are a Getprospect assistant. Use Getprospect 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 Getprospect.\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 Getprospect through Composio's Tool Router. With this setup, your agent can perform real Getprospect 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 + Getprospect 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 Getprospect MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/getprospect/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/getprospect/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/getprospect/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/getprospect/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/getprospect/framework/codex) - [OpenClaw](https://composio.dev/toolkits/getprospect/framework/openclaw) - [Hermes](https://composio.dev/toolkits/getprospect/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/getprospect/framework/cli) - [Google ADK](https://composio.dev/toolkits/getprospect/framework/google-adk) - [LangChain](https://composio.dev/toolkits/getprospect/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/getprospect/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/getprospect/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/getprospect/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/getprospect/framework/crew-ai) ## Related Toolkits - [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly. - [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place. - [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations. - [Hubspot](https://composio.dev/toolkits/hubspot) - HubSpot is an all-in-one marketing, sales, and customer service platform. It lets teams nurture leads, automate outreach, and track every customer interaction in one place. - [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals. - [Pipedrive](https://composio.dev/toolkits/pipedrive) - Pipedrive is a sales management platform offering pipeline visualization, lead tracking, and workflow automation. It helps sales teams keep deals moving forward efficiently and never miss a follow-up. - [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem. - [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity. - [Salesforce](https://composio.dev/toolkits/salesforce) - Salesforce is a leading CRM platform that helps businesses manage sales, service, and marketing. It centralizes customer data, enabling teams to drive growth and build strong relationships. - [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently. - [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place. - [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time. - [Apollo](https://composio.dev/toolkits/apollo) - Apollo is a CRM and lead generation platform that helps businesses discover contacts and manage sales pipelines. Use it to streamline customer outreach and track your deals from one place. - [Attio](https://composio.dev/toolkits/attio) - Attio is a customizable CRM and workspace for managing your team's relationships and workflows. It helps teams organize contacts, automate tasks, and collaborate more efficiently. - [Acculynx](https://composio.dev/toolkits/acculynx) - AccuLynx is a cloud-based roofing business management software for contractors. It streamlines project tracking, lead management, and document sharing. - [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time. - [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. - [Affinity](https://composio.dev/toolkits/affinity) - Affinity is a relationship intelligence CRM that helps private capital investors find, manage, and close more deals. It streamlines deal flow and surfaces key connections to help you win opportunities. - [Agencyzoom](https://composio.dev/toolkits/agencyzoom) - AgencyZoom is a sales and performance platform built for P&C insurance agencies. It helps agents boost sales, retain clients, and analyze producer results in one place. - [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Getprospect MCP? With a standalone Getprospect MCP server, the agents and LLMs can only access a fixed set of Getprospect tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Getprospect 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 Getprospect tools. ### Can I manage the permissions and scopes for Getprospect while using Tool Router? Yes, absolutely. You can configure which Getprospect 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 Getprospect data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)