MCP-Odoo
@yourtechtribe
关于 MCP-Odoo
Model Context Protocol (MCP) server for Odoo integration for finance, allowing AI agents to access and manipulate Odoo data through a standardized interface.
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"model-context-protocol-mcp-odoo": {
"command": "python",
"args": [
"-m",
"mcp_odoo_public"
]
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is MCP-Odoo?
MCP-Odoo is a Model Context Protocol (MCP) server that bridges Odoo ERP systems with AI agents, enabling standardized access to Odoo data. It allows AI systems to access partner information, view accounting data (invoices and payments), perform financial reconciliation, and query vendor bills and customer invoices.
How to use MCP-Odoo?
Clone the repository, install dependencies via pip install -r requirements.txt, configure a .env file with Odoo connection details (URL, database, username, password), and start the server with python -m mcp_odoo_public (SSE transport) or python -m mcp_odoo_public --transport stdio for local agent integration.
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
- An AI agent retrieves partner contact information from Odoo
- An AI agent analyzes and reconciles financial records
- An AI agent queries vendor bills and customer invoices
- An AI agent views and processes accounting data on demand
FAQ from MCP-Odoo
What Odoo data can AI agents access?
Partners, invoices, payments, financial records for reconciliation, vendor bills, and customer invoices.
How do I configure the connection to my Odoo instance?
Set the ODOO_URL, ODOO_DB, ODOO_USERNAME, and ODOO_PASSWORD environment variables in a .env file.
How do I start the MCP server?
Run python -m mcp_odoo_public for SSE transport, or add --transport stdio for local agent integration.
Are there different transport options?
Yes, SSE (default) and stdio. Use stdio when integrating the server directly with an AI agent on the same machine.
Who maintains this project?
Albert Gil López ([email protected]). The project is licensed under the MIT License.
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