# How to integrate Odoo MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Odoo MCP with OpenAI Agents SDK",
  "toolkit": "Odoo",
  "toolkit_slug": "odoo",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/odoo/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/odoo/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-06-18T09:55:46.509Z"
}
```

## Introduction

This guide walks you through connecting Odoo to the OpenAI Agents SDK 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 OpenAI Agents SDK 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

- [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:
- Get and set up your OpenAI and Composio API keys
- Install the necessary dependencies
- Initialize Composio and create a Tool Router session for Odoo
- Configure an AI agent that can use Odoo as a tool
- Run a live chat session where you can ask the agent to perform Odoo operations

## What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.
Key features include:
- Hosted MCP Tools: Connect to external services through hosted MCP endpoints
- SQLite Sessions: Persist conversation history across interactions
- Simple API: Clean interface with Agent, Runner, and tool configuration
- Streaming Support: Real-time response streaming for interactive applications

## 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:
- Composio API Key and OpenAI API Key
- Primary know-how of OpenAI Agents SDK
- A live Odoo project
- Some knowledge of Python or Typescript

### 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).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

What's happening:
- You're importing all necessary libraries.
- The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Odoo.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only odoo.
- The router checks the user's Odoo connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Odoo.
- This approach keeps things lightweight and lets the agent request Odoo tools only when needed during the conversation.
```python
# Create a Odoo Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["odoo"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Odoo
const session = await composio.create(userId as string, {
  toolkits: ['odoo'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Odoo. "
        "Help users perform Odoo operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Odoo. Help users perform Odoo operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["odoo"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Odoo. "
        "Help users perform Odoo operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['odoo'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Odoo. Help users perform Odoo operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});
```

## Conclusion

This was a starter code for integrating Odoo MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Odoo.
Key features:
- Hosted MCP tool integration through Composio's Tool Router
- SQLite session persistence for conversation history
- Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

## How to build Odoo MCP Agent with another framework

- [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)

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- [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.
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## 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 OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK 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) · [Composio docs](https://docs.composio.dev/llms.txt)