# How to integrate Odoo MCP with Pydantic AI ```json { "title": "How to integrate Odoo MCP with Pydantic AI", "toolkit": "Odoo", "toolkit_slug": "odoo", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/odoo/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/odoo/framework/pydantic-ai.md", "updated_at": "2026-06-18T09:55:46.509Z" } ``` ## Introduction This guide walks you through connecting Odoo to Pydantic AI using the Composio tool router. By the end, you'll have a working Odoo agent that can list overdue invoices by customer, create lead for new prospect, check low stock inventory items through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Odoo account through Composio's Odoo MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Odoo with - [OpenAI Agents SDK](https://composio.dev/toolkits/odoo/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/odoo/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/odoo/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/odoo/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/odoo/framework/codex) - [OpenClaw](https://composio.dev/toolkits/odoo/framework/openclaw) - [Hermes](https://composio.dev/toolkits/odoo/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/odoo/framework/cli) - [Google ADK](https://composio.dev/toolkits/odoo/framework/google-adk) - [LangChain](https://composio.dev/toolkits/odoo/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/odoo/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/odoo/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/odoo/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/odoo/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 Odoo - 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 Odoo 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 Odoo MCP server, and what's possible with it? The Odoo MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Odoo account. It provides structured and secure access so your agent can perform Odoo operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `ODOO_CALL_ODOO_JSONRPC` | Odoo JSON-RPC Call | JSON-RPC endpoint for Odoo external API calls. Provides the same functionality as XML-RPC but with JSON encoding. DEPRECATED in v19.0 and scheduled for removal in v20.0 (Fall 2026). Use JSON-2 API at POST /json/2/{model}/{method} instead. | | `ODOO_CREATE_CONTACT` | Create Contact | Create a new contact (customer, supplier, or generic partner) in Odoo's res.partner model. Use this action when you need to add a new person or company to the Odoo database. Set customer_rank > 0 to mark as a customer, supplier_rank > 0 to mark as a supplier, or leave both unset for a generic contact. | | `ODOO_GET_APPLICANT_RESULT` | Get Applicant Parsing Result | Tool to retrieve parsing results for a previously submitted resume/applicant document. Use when you need to check the status and get extracted fields (name, email, phone, mobile) from a resume that was previously submitted for parsing. | | `ODOO_GET_BANK_STATEMENT_RESULT` | Get Bank Statement Result | Tool to retrieve parsing results for a previously submitted bank statement. Returns extracted fields including balance_start, balance_end, date, and bank_statement_lines. Use when you need to check the status and get extracted data from a bank statement document using Odoo's Extract API. | | `ODOO_GET_EXPENSE_RESULT` | Get Expense Extraction Result | Retrieve parsing results for a previously submitted expense document. Returns extracted fields including description, country, date, total, and currency. Use this after submitting an expense document to get the OCR/extraction results. | | `ODOO_GET_INVOICE_RESULT` | Get Invoice Parsing Result | Tool to retrieve parsing results for a previously submitted invoice from Odoo Extract API. Use when you need to check the status and get extracted data from an invoice. Poll this endpoint until the status field is 'success' - processing may take time depending on document complexity. | | `ODOO_LIST_DATABASES` | List Databases | Tool to list all available Odoo databases on the server. Use when you need to see which databases are available on the Odoo instance. | | `ODOO_PARSE_APPLICANT` | Parse Applicant Resume | Tool to submit a resume/CV document for OCR parsing and data extraction via Odoo Extract API. Extracts name, email, phone, and mobile from applicant resumes. Returns a document_token to poll for results. Cost: 1 IAP credit per successful parse. | | `ODOO_PARSE_BANK_STATEMENT` | Parse Bank Statement Document | Tool to submit a bank statement document for OCR parsing and data extraction via Odoo Extract API. Extracts balance_start, balance_end, date, and bank_statement_lines. Returns a document_token to poll for results. Cost: 1 IAP credit per successful parse. | | `ODOO_PARSE_EXPENSE` | Parse Expense Document | Tool to submit an expense document for OCR parsing and data extraction. Extracts description, country, date, total, and currency from expense receipts. Returns a document_token to poll for results. Use when you need to process expense documents using Odoo's Extract API. | | `ODOO_PARSE_INVOICE` | Parse Invoice Document | Tool to submit an invoice document for OCR parsing and data extraction via Odoo Extract API. Uses AI-based algorithms to extract fields like total, due date, invoice lines, VAT numbers, IBAN, supplier, client, and currency. Returns a document_token to poll for results. Cost: 1 IAP credit per successful parse. | | `ODOO_UPDATE_RECORD` | Update Odoo Record | Generic tool to update records across any Odoo model via the JSON-2 API write endpoint. Updates one or more records with the specified field values. Supports all Odoo field types including relational fields with command tuples. Use this action when you need to modify existing records in any Odoo model (contacts, leads, orders, invoices, products, etc.). | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Odoo MCP server is an implementation of the Model Context Protocol that connects your AI agent to Odoo. It provides structured and secure access so your agent can perform Odoo 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 Odoo - 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 Odoo - MCPServerStreamableHTTP connects to the Odoo 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 Odoo 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 Odoo composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["odoo"], ) 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 Odoo endpoint - The agent uses GPT-5 to interpret user commands and perform Odoo operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent odoo_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[odoo_mcp], instructions=( "You are a Odoo assistant. Use Odoo 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 - Odoo 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 Odoo.\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 Odoo composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["odoo"], ) 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 odoo_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[odoo_mcp], instructions=( "You are a Odoo assistant. Use Odoo 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 Odoo.\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 Odoo through Composio's Tool Router. With this setup, your agent can perform real Odoo 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 + Odoo 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 Odoo MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/odoo/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/odoo/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/odoo/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/odoo/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/odoo/framework/codex) - [OpenClaw](https://composio.dev/toolkits/odoo/framework/openclaw) - [Hermes](https://composio.dev/toolkits/odoo/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/odoo/framework/cli) - [Google ADK](https://composio.dev/toolkits/odoo/framework/google-adk) - [LangChain](https://composio.dev/toolkits/odoo/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/odoo/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/odoo/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/odoo/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/odoo/framework/crew-ai) ## Related Toolkits - [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. - [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. - [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. - [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. - [Bettercontact](https://composio.dev/toolkits/bettercontact) - Bettercontact is a smart contact enrichment tool for finding emails and phone numbers. It helps boost lead generation with automated, waterfall search across multiple sources. - [Blackbaud](https://composio.dev/toolkits/blackbaud) - Blackbaud provides cloud-based software for nonprofits, schools, and healthcare institutions. It streamlines fundraising, donor management, and mission-driven operations. - [Brilliant directories](https://composio.dev/toolkits/brilliant_directories) - Brilliant Directories is an all-in-one platform for building and managing online membership communities and business directories. It streamlines listings, member management, and engagement tools into a single, easy interface. - [Capsule crm](https://composio.dev/toolkits/capsule_crm) - Capsule CRM is a user-friendly CRM platform for managing contacts and sales pipelines. It helps businesses organize relationships and streamline their sales process efficiently. - [Centralstationcrm](https://composio.dev/toolkits/centralstationcrm) - CentralStationCRM is an easy-to-use CRM software focused on collaboration and long-term customer relationships. It helps teams manage contacts, deals, and communications all in one place. - [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. - [Close](https://composio.dev/toolkits/close) - Close is a CRM platform built for sales teams, combining calling, email automation, and predictive dialers. It streamlines sales workflows and boosts productivity with all-in-one communication tools. - [Dropcontact](https://composio.dev/toolkits/dropcontact) - Dropcontact is a B2B email finder and data enrichment service for professionals. It delivers verified email addresses and enriches contact info with up-to-date data. - [Dynamics365](https://composio.dev/toolkits/dynamics365) - Dynamics 365 is Microsoft's platform combining CRM, ERP, and productivity apps. It streamlines sales, marketing, service, and operations in one place. - [Espocrm](https://composio.dev/toolkits/espocrm) - EspoCRM is an open-source web application for managing customer relationships. It helps businesses organize contacts, track leads, and streamline their sales process. - [Fireberry](https://composio.dev/toolkits/fireberry) - Fireberry is a CRM platform that streamlines customer and sales management. It helps businesses organize contacts, automate sales, and integrate with other business tools. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Odoo MCP? With a standalone Odoo MCP server, the agents and LLMs can only access a fixed set of Odoo tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Odoo 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 Odoo tools. ### Can I manage the permissions and scopes for Odoo while using Tool Router? Yes, absolutely. You can configure which Odoo 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 Odoo data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) ยท [Composio docs](https://docs.composio.dev/llms.txt)