odoo-mcp-xyt

odoo-mcp-xyt

MCP server integrating with Odoo ERP systems, enabling AI assistants to interact with Odoo data and functionality through tools and resources.

Category
Visit Server

README

UVX 方式安装 odoo mcp 服务

{
    "mcpServers": {
        "odoo-mcp-xyt": {
            "command": "uvx",
            "args": [
                "odoo-mcp-xyt==2.1.0.0"
            ],
            "env": {
                "ODOO_URL": "",
                "ODOO_DB": "",
                "ODOO_USERNAME": "",
                "ODOO_PASSWORD": ""
            }
        }
    }
}

Odoo MCP Server

An MCP server implementation that integrates with Odoo ERP systems, enabling AI assistants to interact with Odoo data and functionality through the Model Context Protocol.

中文文档 / Chinese Documentation

Quick Start

  1. Install Python 3.10+ and create a virtual environment
  2. Clone and install the project:
    git clone <repository-url>
    cd odoo-mcp-xyt
    pip install -e .
    
  3. Configure Odoo connection in odoo_config.json:
    {
      "url": "https://your-odoo-instance.com",
      "db": "your-database-name",
      "username": "your-username",
      "password": "your-password-or-api-key"
    }
    
  4. Run the server:
    python -m odoo_mcp
    
  5. Test with MCP Inspector:
    npx @modelcontextprotocol/inspector
    

Features

  • Comprehensive Odoo Integration: Full access to Odoo models, records, and methods
  • XML-RPC Communication: Secure connection to Odoo instances via XML-RPC
  • Flexible Configuration: Support for config files and environment variables
  • Resource Pattern System: URI-based access to Odoo data structures
  • Error Handling: Clear error messages for common Odoo API issues
  • Stateless Operations: Clean request/response cycle for reliable integration

Tools

  • execute_method

    • Execute a custom method on an Odoo model
    • Inputs:
      • model (string): The model name (e.g., 'res.partner')
      • method (string): Method name to execute
      • args (optional array): Positional arguments
      • kwargs (optional object): Keyword arguments
    • Returns: Dictionary with the method result and success indicator
  • search_employee

    • Search for employees by name
    • Inputs:
      • name (string): The name (or part of the name) to search for
      • limit (optional number): The maximum number of results to return (default 20)
    • Returns: Object containing success indicator, list of matching employee names and IDs, and any error message
  • search_holidays

    • Searches for holidays within a specified date range
    • Inputs:
      • start_date (string): Start date in YYYY-MM-DD format
      • end_date (string): End date in YYYY-MM-DD format
      • employee_id (optional number): Optional employee ID to filter holidays
    • Returns: Object containing success indicator, list of holidays found, and any error message

Resources

  • odoo://models

    • Lists all available models in the Odoo system
    • Returns: JSON array of model information
  • odoo://model/{model_name}

    • Get information about a specific model including fields
    • Example: odoo://model/res.partner
    • Returns: JSON object with model metadata and field definitions
  • odoo://record/{model_name}/{record_id}

    • Get a specific record by ID
    • Example: odoo://record/res.partner/1
    • Returns: JSON object with record data
  • odoo://search/{model_name}/{domain}

    • Search for records that match a domain
    • Example: odoo://search/res.partner/[["is_company","=",true]]
    • Returns: JSON array of matching records (limited to 10 by default)

Configuration

Odoo Connection Setup

  1. Create a configuration file named odoo_config.json:
{
  "url": "https://your-odoo-instance.com",
  "db": "your-database-name",
  "username": "your-username",
  "password": "your-password-or-api-key"
}
  1. Alternatively, use environment variables:
    • ODOO_URL: Your Odoo server URL
    • ODOO_DB: Database name
    • ODOO_USERNAME: Login username
    • ODOO_PASSWORD: Password or API key
    • ODOO_TIMEOUT: Connection timeout in seconds (default: 30)
    • ODOO_VERIFY_SSL: Whether to verify SSL certificates (default: true)
    • HTTP_PROXY: Force the ODOO connection to use an HTTP proxy

Usage with Claude Desktop

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "odoo": {
      "command": "python",
      "args": ["-m", "odoo_mcp"],
      "env": {
        "ODOO_URL": "https://your-odoo-instance.com",
        "ODOO_DB": "your-database-name",
        "ODOO_USERNAME": "your-username",
        "ODOO_PASSWORD": "your-password-or-api-key"
      }
    }
  }
}

Docker

{
  "mcpServers": {
    "odoo": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "ODOO_URL",
        "-e",
        "ODOO_DB",
        "-e",
        "ODOO_USERNAME",
        "-e",
        "ODOO_PASSWORD",
        "mcp/odoo"
      ],
      "env": {
        "ODOO_URL": "https://your-odoo-instance.com",
        "ODOO_DB": "your-database-name",
        "ODOO_USERNAME": "your-username",
        "ODOO_PASSWORD": "your-password-or-api-key"
      }
    }
  }
}

Installation and Setup

Prerequisites

  • Python 3.10+ (required for MCP compatibility)
  • Node.js (for MCP Inspector)

1. Environment Setup

Create a Python 3.10+ environment:

# Using conda
conda create -n odoo-mcp python=3.10 -y
conda activate odoo-mcp

# Or using venv
python3.10 -m venv odoo-mcp
source odoo-mcp/bin/activate  # On Windows: odoo-mcp\Scripts\activate

2. Install Dependencies

# Install the project in development mode
pip install -e .

# Install MCP CLI tools for debugging
pip install 'mcp[cli]'

3. Configuration

Create odoo_config.json with your Odoo connection details:

{
  "url": "https://your-odoo-instance.com",
  "db": "your-database-name",
  "username": "your-username",
  "password": "your-password-or-api-key"
}

Running and Debugging

Method 1: Direct Python Execution (Recommended)

# Using the installed package command
/path/to/your/python/bin/odoo-mcp-xyt

# Using Python module
/path/to/your/python/bin/python -m odoo_mcp

# Using the detailed logging script
/path/to/your/python/bin/python run_server.py

Method 2: MCP Inspector for Development and Testing

Step 1: Start MCP Inspector

# Start the inspector
npx @modelcontextprotocol/inspector

This will output something like:

⚙️ Proxy server listening on 127.0.0.1:6277
🔑 Session token: your-session-token-here
🔗 Open inspector with token pre-filled:
   http://localhost:6274/?MCP_PROXY_AUTH_TOKEN=your-session-token-here
🔍 MCP Inspector is up and running at http://127.0.0.1:6274 🚀

Step 2: Configure Server in Inspector

  1. Open the Inspector URL in your browser
  2. Enter the session token if prompted
  3. Click "Add Server" and use this configuration:
{
  "name": "Odoo MCP Server",
  "command": "/path/to/your/python/bin/python",
  "args": ["/path/to/your/project/start_for_inspector.py"],
  "env": {}
}

Example with actual paths:

{
  "name": "Odoo MCP Server",
  "command": "/Users/username/miniconda3/envs/odoo-mcp/bin/python",
  "args": ["/Users/username/code/odoo-mcp-xyt/start_for_inspector.py"],
  "env": {}
}

Method 3: Using MCP Development Tools (Alternative)

# Basic usage
mcp dev src/odoo_mcp/server.py

# With additional dependencies
mcp dev src/odoo_mcp/server.py --with pandas --with numpy

# Mount local code for development
mcp dev src/odoo_mcp/server.py --with-editable .

Note: If you encounter uv related errors, use Method 1 or 2 instead.

Troubleshooting

Common Issues

  1. Python Version Error: Ensure you're using Python 3.10+

    python --version  # Should show 3.10 or higher
    
  2. Connection Errors: Test your Odoo connection

    python diagnose_connection.py
    
  3. MCP Inspector JSON Errors: Use Method 2 (manual Inspector setup) instead of mcp dev

  4. Import Errors: Ensure all dependencies are installed

    pip install -e .
    pip install 'mcp[cli]'
    

Debugging Tools

  • Connection Diagnostics: python diagnose_connection.py
  • Detailed Logging: python run_server.py (creates logs in logs/ directory)
  • MCP Inspector: Use for interactive testing and debugging

Usage Examples

Once your server is running, you can test it using the MCP Inspector or integrate it with Claude Desktop. Here are some example operations:

Testing Tools in MCP Inspector

  1. Search for employees:

    {
      "name": "search_employee",
      "arguments": {
        "name": "John",
        "limit": 10
      }
    }
    
  2. Execute custom methods:

    {
      "name": "execute_method",
      "arguments": {
        "model": "res.partner",
        "method": "search_read",
        "args": [[["is_company", "=", true]], ["name", "email"]]
      }
    }
    
  3. Search holidays:

    {
      "name": "search_holidays",
      "arguments": {
        "start_date": "2024-01-01",
        "end_date": "2024-12-31",
        "employee_id": 1
      }
    }
    

Testing Resources in MCP Inspector

  1. List all models: odoo://models
  2. Get partner model info: odoo://model/res.partner
  3. Get specific partner: odoo://record/res.partner/1
  4. Search companies: odoo://search/res.partner/[["is_company","=",true]]

Build

Docker build:

docker build -t mcp/odoo:latest -f Dockerfile .

Parameter Formatting Guidelines

When using the MCP tools for Odoo, pay attention to these parameter formatting guidelines:

  1. Domain Parameter:

    • The following domain formats are supported:
      • List format: [["field", "operator", value], ...]
      • Object format: {"conditions": [{"field": "...", "operator": "...", "value": "..."}]}
      • JSON string of either format
    • Examples:
      • List format: [["is_company", "=", true]]
      • Object format: {"conditions": [{"field": "date_order", "operator": ">=", "value": "2025-03-01"}]}
      • Multiple conditions: [["date_order", ">=", "2025-03-01"], ["date_order", "<=", "2025-03-31"]]
  2. Fields Parameter:

    • Should be an array of field names: ["name", "email", "phone"]
    • The server will try to parse string inputs as JSON

License

This MCP server is licensed under the MIT License.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured