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ivnvxd/mcp-server-odoo

by Various

Model Context Protocol (MCP) server that enables AI assistants to securely interact with Odoo ERP systems through standardized resources and tools for data retrieval and manipulati

I

MCP

ivnvxd/mcp-server-odoo

Added 1 June 2026

#ai #erp #llm #mcp #mcp-server #mcp-servers #model-context-protocol #odoo

Overview

A Model Context Protocol (MCP) server that allows AI assistants to read and write Odoo ERP data through a standardized interface. It exposes Odoo models as resources and provides tools for querying, creating, updating, and deleting records.

Best for

Best for
Developers integrating AI assistants with Odoo ERP for data retrieval and automation

Use cases

  • Query Odoo records (e.g., sales orders, contacts) via natural language through an AI assistant
  • Automate ERP data entry or updates by connecting AI agents to Odoo
  • Build custom AI workflows that interact with Odoo without direct API coding

Notes

A Model Context Protocol (MCP) server that allows AI assistants to read and write Odoo ERP data through a standardized interface. It exposes Odoo models as resources and provides tools for querying, creating, updating, and deleting records.

303 stars on GitHub. Last updated 2026-05-02. Licensed MPL-2.0.

Use cases

  • Query Odoo records (e.g., sales orders, contacts) via natural language through an AI assistant
  • Automate ERP data entry or updates by connecting AI agents to Odoo
  • Build custom AI workflows that interact with Odoo without direct API coding

Pros

  • 303 GitHub stars indicate active community interest and adoption
  • Standard MCP protocol makes it compatible with many AI assistants
  • Written in Python, easy to extend or debug for Python developers

Cons

  • Requires running a separate MCP server alongside Odoo
  • Security depends on proper Odoo user permissions and network configuration
  • Limited to Odoo models exposed by the server; custom models need manual setup

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • 303 GitHub stars indicate active community interest and adoption
  • Standard MCP protocol makes it compatible with many AI assistants
  • Written in Python, easy to extend or debug for Python developers

Cons

  • Requires running a separate MCP server alongside Odoo
  • Security depends on proper Odoo user permissions and network configuration
  • Limited to Odoo models exposed by the server; custom models need manual setup