Add Odoo MCP Server

[ivnvxd]

Add Odoo MCP Server to enable AI assistants to interact with Odoo ERP systems.

Description

This PR adds the Odoo MCP Server to the third-party servers list under the Business & Finance section. The server provides a bridge between AI assistants and Odoo ERP systems, enabling natural language interaction with business data.

Server Details

• Server: mcp-server-odoo (new addition)
• Changes to: N/A (new server entry)

Motivation and Context

Businesses using Odoo ERP need a way to leverage AI assistants for data analysis, reporting, and workflow automation. This server solves that by providing secure, controlled access to Odoo data through the MCP protocol, enabling use cases like:

• Natural language queries for business data ("Show me unpaid invoices from last month")
• Automated reporting and analysis
• Customer data management through conversational interfaces
• Inventory and product catalog queries

How Has This Been Tested?

Extensively tested with:

• Claude Desktop on macOS
• Cursor IDE
• MCP Inspector for protocol compliance
• 376 automated tests with 90% coverage
• Production use cases including customer queries, product searches, and invoice management

Breaking Changes

No breaking changes - this is a new server addition.

Types of changes

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to change)
• Documentation update

Checklist

• I have read the MCP Protocol Documentation
• My changes follows MCP security best practices
• I have updated the server's README accordingly
• I have tested this with an LLM client
• My code follows the repository's style guidelines
• New and existing tests pass locally
• I have added appropriate error handling
• I have documented all environment variables and configuration options

Additional context

Key features:

• Supports both API key and username/password authentication
• Implements all MCP resource operations (record, search, browse, count, fields)
• Smart field selection to optimize LLM token usage
• Comprehensive error handling with sanitized error messages
• Full audit logging of all operations