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MCP-Odoo

by yourtechtribe
OverviewSchemaRelated ServersScoreDiscussions
Python
Remote
MIT License
10

MCP-Odoo

Model Context Protocol server for Odoo integration, allowing AI agents to access and manipulate Odoo data through a standardized interface.

Overview

MCP-Odoo provides a bridge between Odoo ERP systems and AI agents using the Model Context Protocol (MCP). This enables AI systems to:

  • Access partner information

  • View and analyze accounting data including invoices and payments

  • Perform reconciliation of financial records

  • Query vendor bills and customer invoices

Related MCP server: Odoo MCP Server

Features

  • 🔌 Easy integration with Odoo instances

  • 🤖 Standard MCP interface for AI agent compatibility

  • 📊 Rich accounting data access

  • 🔒 Secure authentication with Odoo

Installation

# Clone the repository git clone https://github.com/yourtechtribe/model-context-protocol-mcp-odoo.git cd model-context-protocol-mcp-odoo # Install dependencies pip install -r requirements.txt

Configuration

Create a .env file in the project root with the following variables:

ODOO_URL=https://your-odoo-instance.com ODOO_DB=your_database ODOO_USERNAME=your_username ODOO_PASSWORD=your_password HOST=0.0.0.0 PORT=8080

Usage

Start the MCP server:

# Using the SSE transport (default) python -m mcp_odoo_public # Using stdio for local agent integration python -m mcp_odoo_public --transport stdio

Documentation

Comprehensive documentation is available in the docs/ directory:

Development

Project Structure

  • mcp_odoo_public/: Main package

    • odoo/: Odoo client and related modules

    • resources/: MCP resources definitions (tools and schemas)

    • server.py: MCP server implementation

    • config.py: Configuration management

    • mcp_instance.py: FastMCP instance definition

Adding New Resources

Resources define the capabilities exposed to AI agents through MCP. To add a new resource:

  1. Create a new file in the resources/ directory

  2. Define your resource using the @mcp.tool() decorator

  3. Import your resource in resources/__init__.py

For detailed instructions, see the Implementation Guide.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Author

Albert Gil López

  • Email: albert.gil@yourtechtribe.com

  • LinkedIn: https://www.linkedin.com/in/albertgilopez/

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

This server cannot be installed

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security - not tested
A
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