MCP Server for Odoo Integration
Project description
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.
Quick Start
- Install Python 3.10+ and create a virtual environment
- Clone and install the project:
git clone <repository-url> cd odoo-mcp-xyt pip install -e .
- 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" }
- Run the server:
python -m odoo_mcp
- 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 executeargs(optional array): Positional argumentskwargs(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 forlimit(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 formatend_date(string): End date in YYYY-MM-DD formatemployee_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
- 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"
}
- Alternatively, use environment variables:
ODOO_URL: Your Odoo server URLODOO_DB: Database nameODOO_USERNAME: Login usernameODOO_PASSWORD: Password or API keyODOO_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
- Open the Inspector URL in your browser
- Enter the session token if prompted
- 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
-
Python Version Error: Ensure you're using Python 3.10+
python --version # Should show 3.10 or higher
-
Connection Errors: Test your Odoo connection
python diagnose_connection.py -
MCP Inspector JSON Errors: Use Method 2 (manual Inspector setup) instead of
mcp dev -
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 inlogs/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
-
Search for employees:
{ "name": "search_employee", "arguments": { "name": "John", "limit": 10 } }
-
Execute custom methods:
{ "name": "execute_method", "arguments": { "model": "res.partner", "method": "search_read", "args": [[["is_company", "=", true]], ["name", "email"]] } }
-
Search holidays:
{ "name": "search_holidays", "arguments": { "start_date": "2024-01-01", "end_date": "2024-12-31", "employee_id": 1 } }
Testing Resources in MCP Inspector
- List all models:
odoo://models - Get partner model info:
odoo://model/res.partner - Get specific partner:
odoo://record/res.partner/1 - 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:
-
Domain Parameter:
- The following domain formats are supported:
- List format:
[["field", "operator", value], ...] - Object format:
{"conditions": [{"field": "...", "operator": "...", "value": "..."}]} - JSON string of either format
- List 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"]]
- List format:
- The following domain formats are supported:
-
Fields Parameter:
- Should be an array of field names:
["name", "email", "phone"] - The server will try to parse string inputs as JSON
- Should be an array of field names:
License
This MCP server is licensed under the MIT License.
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