# How to integrate Odoo MCP with LangChain

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

## Introduction

This guide walks you through connecting Odoo to LangChain 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 LangChain 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)
- [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
- Connect your Odoo project to Composio
- Create a Tool Router MCP session for Odoo
- Initialize an MCP client and retrieve Odoo tools
- Build a LangChain agent that can interact with Odoo
- Set up an interactive chat interface for testing

## What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.
Key features include:
- Agent Framework: Build agents that can use tools and make decisions
- MCP Integration: Connect to external services through Model Context Protocol adapters
- Memory Management: Maintain conversation history across interactions
- Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

## 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

No description provided.

### 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

No description provided.
```python
pip install composio-langchain langchain-mcp-adapters langchain python-dotenv
```

```typescript
npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your requests to Composio's API
- COMPOSIO_USER_ID identifies the user for session management
- OPENAI_API_KEY enables access to OpenAI's language models
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

No description provided.
```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
```

### 5. Initialize Composio client

What's happening:
- We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
- Creating a Composio instance that will manage our connection to Odoo tools
- Validating that COMPOSIO_USER_ID is also set before proceeding
```python
async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))

    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
```

```typescript
const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
```

### 6. 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
- This approach allows the agent to dynamically load and use Odoo tools as needed
```python
# Create Tool Router session for Odoo
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['odoo']
)

url = session.mcp.url
```

```typescript
const session = await composio.create(
    userId as string,
    {
        toolkits: ['odoo']
    }
);

const url = session.mcp.url;
```

### 7. Configure the agent with the MCP URL

No description provided.
```python
client = MultiServerMCPClient({
    "odoo-agent": {
        "transport": "streamable_http",
        "url": session.mcp.url,
        "headers": {
            "x-api-key": os.getenv("COMPOSIO_API_KEY")
        }
    }
})

tools = await client.get_tools()

agent = create_agent("gpt-5", tools)
```

```typescript
const client = new MultiServerMCPClient({
    "odoo-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
```

### 8. Set up interactive chat interface

No description provided.
```python
conversation_history = []

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Odoo related question or task to the agent.\n")

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ['exit', 'quit', 'bye']:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_history.append({"role": "user", "content": user_input})
    print("\nAgent is thinking...\n")

    response = await agent.ainvoke({"messages": conversation_history})
    conversation_history = response['messages']
    final_response = response['messages'][-1].content
    print(f"Agent: {final_response}\n")
```

```typescript
let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Odoo related question or task to the agent.\n");

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

rl.prompt();

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

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

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

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

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

### 9. Run the application

No description provided.
```python
if __name__ == "__main__":
    asyncio.run(main())
```

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

## Complete Code

```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    
    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
    
    session = composio.create(
        user_id=os.getenv("COMPOSIO_USER_ID"),
        toolkits=['odoo']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "odoo-agent": {
            "transport": "streamable_http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    })
    
    tools = await client.get_tools()
  
    agent = create_agent("gpt-5", tools)
    
    conversation_history = []
    
    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Ask any Odoo related question or task to the agent.\n")
    
    while True:
        user_input = input("You: ").strip()
        
        if user_input.lower() in ['exit', 'quit', 'bye']:
            print("\nGoodbye!")
            break
        
        if not user_input:
            continue
        
        conversation_history.append({"role": "user", "content": user_input})
        print("\nAgent is thinking...\n")
        
        response = await agent.ainvoke({"messages": conversation_history})
        conversation_history = response['messages']
        final_response = response['messages'][-1].content
        print(f"Agent: {final_response}\n")

if __name__ == "__main__":
    asyncio.run(main())
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

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

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['odoo']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "odoo-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Odoo related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\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

You've successfully built a LangChain agent that can interact with Odoo through Composio's Tool Router.
Key features of this implementation:
- Dynamic tool loading through Composio's Tool Router
- Conversation history maintenance for context-aware responses
- Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

## 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)
- [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 LangChain?

Yes, you can. LangChain 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)