Odoo MCP Server
Enables AI assistants to interact with Odoo ERP systems through XML-RPC integration. Provides access to Odoo models, records, employee search, holiday management, and custom method execution via the Model Context Protocol.
README
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.
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
Python Package
pip install odoo-mcp
Running the Server
# Using the installed package
odoo-mcp
# Using the MCP development tools
mcp dev odoo_mcp/server.py
# With additional dependencies
mcp dev odoo_mcp/server.py --with pandas --with numpy
# Mount local code for development
mcp dev odoo_mcp/server.py --with-editable .
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.
Recommended Servers
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.
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.
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.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
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.
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.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.