MCP-Odoo
by yourtechtribe
MCP-Odoo provides a bridge between Odoo ERP systems and AI agents using the Model Context Protocol (MCP). This enables AI systems to access and manipulate Odoo data through a standardized interface.
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What is MCP-Odoo?
MCP-Odoo is a Model Context Protocol server for Odoo integration, allowing AI agents to access and manipulate Odoo data through a standardized interface. It acts as a bridge between Odoo ERP systems and AI agents, enabling AI systems to interact with Odoo data.
How to use MCP-Odoo?
To use MCP-Odoo, first clone the repository and install the dependencies using pip. Then, configure the .env file with your Odoo instance details. Finally, start the MCP server using the provided command, choosing either the SSE transport or stdio for local agent integration. Refer to the documentation for detailed instructions and examples.
Key features of MCP-Odoo
Easy integration with Odoo instances
Standard MCP interface for AI agent compatibility
Rich accounting data access
Secure authentication with Odoo
Use cases of MCP-Odoo
Access partner information
View and analyze accounting data including invoices and payments
Perform reconciliation of financial records
Query vendor bills and customer invoices
FAQ from MCP-Odoo
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, a standardized interface for AI agents to interact with data.
What Odoo versions are supported?
What Odoo versions are supported?
The README does not specify supported Odoo versions. Check the project documentation or contact the author for details.
How do I add new resources?
How do I add new resources?
Create a new file in the resources/ directory, define your resource using the @mcp.tool() decorator, and import your resource in resources/__init__.py. Refer to the Implementation Guide for detailed instructions.
Where can I find the documentation?
Where can I find the documentation?
Comprehensive documentation is available in the docs/ directory, including an overview, implementation guide, accounting functionality guide, troubleshooting tips, and usage examples.
How do I contribute to the project?
How do I contribute to the project?
Contributions are welcome! Please feel free to submit a Pull Request.