# How to integrate NetHunt CRM MCP with Pydantic AI ```json { "title": "How to integrate NetHunt CRM MCP with Pydantic AI", "toolkit": "NetHunt CRM", "toolkit_slug": "nethunt_crm", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/nethunt_crm/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/nethunt_crm/framework/pydantic-ai.md", "updated_at": "2026-03-29T06:43:05.290Z" } ``` ## Introduction This guide walks you through connecting NetHunt CRM to Pydantic AI using the Composio tool router. By the end, you'll have a working NetHunt CRM agent that can list all open deals assigned to me, add a new contact with email and phone, update the stage of deal 'acme inc.' to 'negotiation' through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a NetHunt CRM account through Composio's NetHunt CRM MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate NetHunt CRM with - [ChatGPT](https://composio.dev/toolkits/nethunt_crm/framework/chatgpt) - [Antigravity](https://composio.dev/toolkits/nethunt_crm/framework/antigravity) - [OpenAI Agents SDK](https://composio.dev/toolkits/nethunt_crm/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/nethunt_crm/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/nethunt_crm/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/nethunt_crm/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/nethunt_crm/framework/codex) - [OpenClaw](https://composio.dev/toolkits/nethunt_crm/framework/openclaw) - [Hermes](https://composio.dev/toolkits/nethunt_crm/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/nethunt_crm/framework/cli) - [Google ADK](https://composio.dev/toolkits/nethunt_crm/framework/google-adk) - [LangChain](https://composio.dev/toolkits/nethunt_crm/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/nethunt_crm/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/nethunt_crm/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/nethunt_crm/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/nethunt_crm/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 NetHunt CRM - 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 NetHunt CRM 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 NetHunt CRM MCP server, and what's possible with it? The NetHunt CRM MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your NetHunt CRM account. It provides structured and secure access so your agent can perform NetHunt CRM operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `NETHUNT_CRM_DELETE_RECORD` | Delete Record | Tool to delete a NetHunt CRM record by ID. Use when you need to permanently remove a record from the system. | | `NETHUNT_CRM_FIND_RECORDS` | Find Records | Tool to find records by ID or text query in NetHunt CRM. Search for records within a folder using record ID or search query. Use when you need to locate specific records in a folder. | | `NETHUNT_CRM_GET_NEW_CALL_LOGS` | Get New Call Logs | Find recently created call logs in NetHunt CRM. Returns call logs created after a specified time. Use when you need to retrieve new call activity from a specific folder. | | `NETHUNT_CRM_GET_NEW_COMMENTS` | Get New Comments | Tool to find recently created record comments in a NetHunt CRM folder. Returns comments created after a specified time (defaults to last 24 hours). | | `NETHUNT_CRM_GET_NEW_GOOGLE_DRIVE_FILES` | Get New Google Drive Files | Tool to find recently created Google Drive files linked to NetHunt CRM records. Use when you need to retrieve files created after a specific time in a NetHunt folder. Returns file metadata including Google Drive links, MIME types, and associated record IDs. Useful for tracking new document uploads and file attachments. | | `NETHUNT_CRM_GET_NEW_RECORDS` | Get New Records | Tool to find recently created records in NetHunt CRM. Use when you need to retrieve records that were created after a specific time in a given folder. Returns record details including ID, creation time, and field values. If no 'since' time is specified, returns records from the last 24 hours. | | `NETHUNT_CRM_GET_RECORD_CHANGES` | Get Record Changes | Tool to find recent record changes in a NetHunt CRM folder. Returns change history including CREATE, UPDATE, DELETE actions with field-level diffs. Use when you need to track modifications to records, audit changes, or sync data based on recent updates. | | `NETHUNT_CRM_GET_UPDATED_RECORDS` | Get Updated Records | Tool to find recently updated records in NetHunt CRM. Returns records updated after a specified time, optionally filtered by field names. Use when you need to track changes or sync records that have been modified. | | `NETHUNT_CRM_LIST_FOLDER_FIELDS` | List Folder Fields | Tool to list folder fields in NetHunt CRM. Returns the field definitions for a specific folder. Use when you need to retrieve all field metadata for a given folder ID. | | `NETHUNT_CRM_LIST_READABLE_FOLDERS` | List Readable Folders | Tool to list all accessible folders in NetHunt CRM. Returns folders the user has read access to. Use when you need to retrieve available folders for organizing or accessing records. | | `NETHUNT_CRM_LIST_WRITABLE_FOLDERS` | List Writable Folders | Tool to list folders the user can create records in. Returns folders the user has write access to. Use when you need to retrieve writable folders for creating new records. | | `NETHUNT_CRM_TEST_NETHUNT_CRM_AUTHENTICATION` | Test NetHunt CRM Authentication | Tool to verify request credentials and test authentication. Returns information about the authenticated user including name and email. Use this action to confirm API credentials are valid before making other requests. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The NetHunt CRM MCP server is an implementation of the Model Context Protocol that connects your AI agent to NetHunt CRM. It provides structured and secure access so your agent can perform NetHunt CRM 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 NetHunt CRM - 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 NetHunt CRM - MCPServerStreamableHTTP connects to the NetHunt CRM 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 NetHunt CRM 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 NetHunt CRM composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["nethunt_crm"], ) 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 NetHunt CRM endpoint - The agent uses GPT-5 to interpret user commands and perform NetHunt CRM operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent nethunt_crm_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[nethunt_crm_mcp], instructions=( "You are a NetHunt CRM assistant. Use NetHunt CRM 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 - NetHunt CRM 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 NetHunt CRM.\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 NetHunt CRM composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["nethunt_crm"], ) 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 nethunt_crm_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[nethunt_crm_mcp], instructions=( "You are a NetHunt CRM assistant. Use NetHunt CRM 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 NetHunt CRM.\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 NetHunt CRM through Composio's Tool Router. With this setup, your agent can perform real NetHunt CRM 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 + NetHunt CRM 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 NetHunt CRM MCP Agent with another framework - [ChatGPT](https://composio.dev/toolkits/nethunt_crm/framework/chatgpt) - [Antigravity](https://composio.dev/toolkits/nethunt_crm/framework/antigravity) - [OpenAI Agents SDK](https://composio.dev/toolkits/nethunt_crm/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/nethunt_crm/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/nethunt_crm/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/nethunt_crm/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/nethunt_crm/framework/codex) - [OpenClaw](https://composio.dev/toolkits/nethunt_crm/framework/openclaw) - [Hermes](https://composio.dev/toolkits/nethunt_crm/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/nethunt_crm/framework/cli) - [Google ADK](https://composio.dev/toolkits/nethunt_crm/framework/google-adk) - [LangChain](https://composio.dev/toolkits/nethunt_crm/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/nethunt_crm/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/nethunt_crm/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/nethunt_crm/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/nethunt_crm/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. - [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. - [Ascora](https://composio.dev/toolkits/ascora) - Ascora is a cloud-based field service management platform for service businesses. It streamlines scheduling, invoicing, and customer operations in one place. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and NetHunt CRM MCP? With a standalone NetHunt CRM MCP server, the agents and LLMs can only access a fixed set of NetHunt CRM tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from NetHunt CRM 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 NetHunt CRM tools. ### Can I manage the permissions and scopes for NetHunt CRM while using Tool Router? Yes, absolutely. You can configure which NetHunt CRM 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 NetHunt CRM data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)