Odoo MCP Server
An MCP server implementation that integrates with Odoo ERP systems, enabling AI assistants like Claude to interact with Odoo data and functionality through the Model Context Protocol.
🎯 Quick Start
# Install the package
pip install odoo-mcp-beta
# Configure your Odoo connection
export ODOO_URL="https://your-odoo.com"
export ODOO_DB="your-database"
export ODOO_USERNAME="your-username"
export ODOO_PASSWORD="your-password"
# Run the server
python -m odoo_mcp
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: Standardized error codes and messages following MCP specification
- Resource Subscriptions: Support for subscribing to resource changes and notifications
- MCP Specification Compliant: Fully compatible with the latest MCP specification (1.6.0+)
- Progress Reporting: Real-time progress updates during tool execution
- Batch Operations: Execute multiple operations efficiently in batch
- Advanced Search: Complex filtering with AND/OR logic, aggregations, and fuzzy search
- Metadata Exploration: Discover model schemas, constraints, and relationships
- Data Export/Import: Export data in JSON/CSV/XML formats, import with validation
- Security Management: User access control, field-level permissions, sudo operations
- Workflow Management: State transitions, workflow actions, and history tracking
- Shell Execution: Execute Python code in Odoo environment with full ORM access
- SQL Execution: Direct SQL query execution with safety features and result formatting
Tools
Core Operations
- execute_method - Execute any Odoo model method with full flexibility
- list_models - List available models with statistics and record counts
Batch Operations
- batch_execute - Execute multiple operations in a single transaction
- batch_create - Create multiple records efficiently
- batch_update - Update multiple records with different values
- batch_delete - Delete multiple records safely
- batch_copy - Duplicate records with optional default values
Advanced Search
- advanced_search - Complex filtering with AND/OR logic
- search_with_aggregation - GROUP BY queries with aggregations
- search_distinct - Get unique values for a field
- fuzzy_search - Fuzzy text search across multiple fields
Metadata & Schema
- get_field_metadata - Detailed field information and validation rules
- get_model_constraints - SQL and Python constraints
- get_model_relations - Many2one, One2many, Many2many relationships
- get_model_methods - Available methods for a model
- get_model_views - Form, tree, kanban view definitions
Data Import/Export
- export_data - Export in JSON, CSV, or XML formats
- import_data - Import with validation and update options
- export_template - Generate import templates with sample data
Security & Access Control
- get_user_info - Current user information and settings
- get_model_access_rights - CRUD permissions for models
- check_field_access - Field-level permission checks
- get_user_groups - User group memberships
- sudo_execute - Execute with elevated privileges
Workflow Management
- get_record_state - Current workflow state of records
- execute_workflow_action - Trigger workflow transitions
- get_available_actions - Available actions based on state
- bulk_state_transition - Bulk workflow operations
- get_workflow_history - Audit trail of state changes
HR & Employee Tools
- search_employee - Search employees by name
- get_employee_details - Comprehensive employee information
- get_employee_driver_info - Driver and vehicle details
- get_employee_banking_info - Banking information
- get_employee_payslips - Payroll records
- get_employee_contracts - Employment contracts
- get_employee_attendance - Attendance records
- get_employee_leaves - Leave requests and allocations
- get_employee_appraisals - Performance appraisals
- search_holidays - Search holidays by date range
Code Execution & Database Access
- execute_shell - Execute Python code in Odoo environment with ORM access
- execute_shell_multi - Execute multiple Python scripts in sequence
- execute_shell_code - Alias for execute_shell with additional options
- execute_sql - Execute SQL queries directly on Odoo database
- execute_sql_script - Execute multi-statement SQL scripts
- get_table_info - Get database table structure and constraints
- analyze_query - Analyze SQL query execution plans
All tools follow the MCP specification for error handling with standardized error codes and messages.
Resources
-
odoo://models
- Lists all available models in the Odoo system
- Returns: Resource with MIME type
application/jsoncontaining model information
-
odoo://model/{model_name}
- Get information about a specific model including fields
- Example:
odoo://model/res.partner - Returns: Resource with MIME type
application/jsoncontaining model metadata and field definitions
-
odoo://record/{model_name}/{record_id}
- Get a specific record by ID
- Example:
odoo://record/res.partner/1 - Returns: Resource with MIME type
application/jsoncontaining record data
-
odoo://search/{model_name}/{domain}
- Search for records that match a domain
- Example:
odoo://search/res.partner/[["is_company","=",true]] - Returns: Resource with MIME type
application/jsoncontaining matching records (limited to 10 by default)
Resource Subscriptions
This server implements MCP resource subscriptions, allowing clients to be notified when resources change:
-
resources/subscribe
- Subscribe to changes in a specific resource
- Parameters:
uri- the resource URI to subscribe to - Returns: Confirmation of subscription success
-
resources/unsubscribe
- Unsubscribe from changes in a specific resource
- Parameters:
uri- the resource URI to unsubscribe from - Returns: Confirmation of unsubscription success
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",
"mcp_prefix": "my_odoo_production"
}
- Alternatively, use environment variables:
ODOO_URL: Your Odoo server URLODOO_DB: Database nameODOO_USERNAME: Login usernameODOO_PASSWORD: Password or API keyODOO_MCP_PREFIX: Custom prefix for MCP commands and resources (default: database name)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
Multi-Database Support
When running multiple Odoo MCP servers connected to different databases, you can use the ODOO_MCP_PREFIX parameter to create unique command names for each server, avoiding conflicts in AI environments:
# For production Odoo server
export ODOO_MCP_PREFIX="aspire_production"
# Commands will appear as: aspire_production_execute_method
# For development Odoo server
export ODOO_MCP_PREFIX="aspire_dev"
# Commands will appear as: aspire_dev_execute_method
Without this setting, the database name will be used as a prefix by default. The MCP prefix ensures tools and resources have distinct names when using multiple Odoo instances with a single LLM.
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",
"ODOO_MCP_PREFIX": "my_odoo"
}
}
}
}
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",
"ODOO_MCP_PREFIX": "my_odoo"
}
}
}
}
Installation
Python Package
# Install the beta version with all new features
pip install odoo-mcp-beta
# Or install the stable version
pip install odoo-mcp
Running the Server
# Using the installed package
odoo-mcp # or python -m 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:
Development
Building from Source
git clone https://github.com/ali205412/mcp-odoo.git
cd mcp-odoo
pip install -e .
Running Tests
pytest tests/
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This MCP server is licensed under the MIT License.
Support
For issues, questions, or contributions, please visit our GitHub repository.
Metadata
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Total release size: 164.1 kB
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