No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by erpipe-org · MCP Server · ★ 415
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-odoo safe to install? View the security audit →
Odoo MCP The free AI layer for Odoo — any edition, any version. Odoo's built-in AI is Enterprise-only. Odoo MCP gives Community and Enterprise 16+ the same power for $0 with the LLM you already use (Claude, GPT, Gemini, DeepSeek, Ollama). Five-minute install. Zero Odoo-side setup. Safe writes, real diagnostics, JSON-2 ready years before the Odoo 22 XML-RPC removal. <a href="https://skills.sh/
| Stars | 415 |
| Forks | 189 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 68.5041147254325/100 |
| Open Issues | 7 |
| Last Updated | 2026-08-25 |
| Created | 2025-03-17 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~22k |
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mcp-odoo is Odoo MCP for AI agents — gated writes, multi-instance. Hosted product: https://erpipe.com. It is categorized as a MCP Server with 415 GitHub stars.
mcp-odoo is primarily written in Python. It covers topics such as agent-skills, chatgpt, claude-code.
You can find installation instructions and usage details in the mcp-odoo GitHub repository at github.com/erpipe-org/mcp-odoo. The project has 415 stars and 189 forks, indicating an active community.
mcp-odoo is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mcp-odoo on Agent Skills Hub include mcp-odoo, mcp-server-odoo, mcphub.nvim. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: