MCP for Odoo · AI & Automation · Odoo 16.0+

Odoo MCP Server for AI Agents

Name: MCP Server for Odoo
Author: KSROlabs

Odoo MCP Server turns Odoo into a Model Context Protocol endpoint for AI agents. Connect Claude, GPT, LangChain, and any MCP-compatible framework to live Odoo data. Single endpoint (POST /mcp), scoped API keys, automatic permission inheritance, and audit logging. Built for production with faster schema caching, high throughput, and zero-downtime token rotation.

See the Module →Free Setup Support

POST /mcpJSON-RPC 2.0API Keys + ScopesAudit LogsDistributed Rate Limiting4x Faster (Cached)

MCP Server for Odoo

What is MCP for Odoo?

The KSROlabs MCP Server for Odoo is a native Odoo module that implements the Model Context Protocol, an open standard created by Anthropic for AI agent integration. It turns your Odoo ERP into a secure, permission-aware endpoint that AI systems like Claude, ChatGPT, and LangChain can connect to natively. Unlike custom REST APIs that require integration code for each AI client, MCP provides a standardized protocol where AI agents automatically discover available tools and data models without documentation. The module enforces Odoo's permission system by default so AI agents can only access data their associated user account is authorized for.

At a Glance

What it is

MCP protocol implementation for Odoo

Available at

Odoo App Store

Setup time

6 steps, ~2-4 hours

Compatible with

Claude, GPT, LangChain, all MCP clients

Supported Odoo

16.0, 17.0, 18.0+

Licensing

LGPL-3 (open source)

Who is the Odoo MCP Server for?

Teams that want to connect Claude, ChatGPT, GPT, or other AI agents directly to Odoo without building a custom API layer.
Security-conscious companies that need scoped API keys, audit trails, permission inheritance, and rate limits before giving AI access to ERP data.
Odoo partners and internal ops teams that want a faster path from AI pilot to production deployment with free setup support from KSROlabs.

Proof and supporting resources

Connect Claude to Odoo →

Step-by-step guidance for the highest-intent implementation use case.

Odoo MCP security guide →

Governance, permission boundaries, and production hardening details.

Odoo MCP comparison →

Why a native MCP server is different from generic automation or DIY wrappers.

What MCP means for Odoo →

Context for buyers, implementers, and AI search systems summarizing the protocol fit.

API throughput (cached)

96%

Faster with schema cache

200+

Requests/sec supported

90%

Typical cache hit ratio

Performance Benchmarks - Tested in Production

Schema Caching Latency: 96% Reduction

Reduces model discovery from 50ms (direct Odoo API) to 2ms (MCP cache). AI agents discover available models 25x faster.

API Throughput: 4x Improvement

Cached endpoints support 200+ req/sec sustained. Uncached Odoo API baseline is about 50 req/sec.

Cache Hit Ratio: 90% Average

5-minute intelligent auto-invalidation with schema change detection lets most queries skip the slow Odoo API entirely.

Time to Production: 2-4 Hours

From module installation to first AI agent connected, including security configuration and audit log setup.

What is MCP?

What is Odoo MCP? The Model Context Protocol for Odoo

The Model Context Protocol (MCP) is an open standard created by Anthropic that defines how AI agents, LLMs, and automation tools connect to external systems.

The KSROlabs MCP Server for Odoo implements this protocol inside Odoo, exposing your ERP as a secure, permission-aware endpoint for AI agents. No custom API development. No wrapper layer. Just governed Odoo MCP integration that works out of the box.

Core features

What security features does the Odoo MCP Server include?

Every feature is designed to keep your Odoo production instance safe while giving AI agents the access they need.

Single endpoint

One stable entry point (POST /mcp) for tool discovery and tool execution. Keeps integrations consistent and easy to maintain across AI clients.

Scoped API keys

Create keys per integration and restrict by model access. Rotate keys safely without breaking your Odoo permission model.

Audit-ready logs

Track which key called what, when, and the payload, helpful for security reviews, compliance, and debugging every AI action.

Field and record guards

Add per-key domain filters and optional field allowlists for precise, least-privilege access. AI agents see only what you allow.

Rate limits and IP rules

Global and per-key rate limits with optional IP allow and deny lists reduce abuse risk and protect your Odoo production instance.

Payload safety

Configurable payload size limits and optional error redaction keep integrations safe and stable in production environments.

Enterprise features

Enterprise security and performance

Built for high-scale production deployments with comprehensive security governance, enterprise-grade performance, and horizontal scalability across unlimited workers.

Distributed Rate Limiting

+Redis-backed with in-memory fallback
+Per-second and per-minute configurable
+Per-key overrides for trusted clients
+200+ req/sec throughput

Zero-Downtime Token Rotation

+Multiple active tokens per key
+Configurable grace periods (7 days)
+Auto expiration notifications
+No service interruption during rotation

Schema Caching

+5-minute intelligent cache
+96% faster: 2ms vs 50ms
+Auto-invalidates on schema changes
+4x throughput boost

Prometheus Monitoring

+Prometheus metrics endpoint
+Latency percentiles (p50, p95, p99)
+Grafana integration ready
+Cache hit ratio tracking

Enterprise guarantee: production-ready with faster API throughput, lower latency, zero-downtime token rotation, and multi-worker scalability.

Setup guide

How do you set up the Odoo MCP Server?

Configure once, then integrate safely with any MCP-capable client. Get from installation to a working Odoo MCP integration in minutes.

Install the module

Install the KSROlabs MCP Server for Odoo from the Odoo App Store like any standard Odoo module with no external dependencies required.

Enable MCP Server in Settings

Navigate to Settings > MCP Server and enable the MCP endpoint. Grant the MCP Server Administrator group to trusted users.

Create a scoped API key

Create an API key in the MCP Server settings. Copy the token shown once and configure which Odoo models this key can access.

Set optional security rules

Optionally configure IP allow and deny rules, rate limits per key, field allowlists, and domain filters for precise least-privilege access.

Connect your AI agent

Point your MCP-compatible client such as Claude, GPT, or LangChain at your Odoo MCP endpoint and use the Bearer token for authentication.

Query and act on Odoo data

Your AI agent can now read, create, update, and delete Odoo records within the access boundaries you defined, with every action logged.

Online and managed

Prefer a Fully Managed Setup?

Choose between self-hosted control or fully managed deployment where we handle everything.

Self-Hosted Module

Install, own, and manage the MCP Server yourself. Full source code included.

Available on the Odoo App Store
Install on unlimited Odoo instances
Full source code (LGPL-3 license)
Free setup support consultation
Suitable for in-house DevOps teams

Buy Self-Hosted →

Managed Deployment

KSRO handles installation, configuration, and ongoing management in your Odoo environment.

Full hands-off setup and configuration
Ongoing maintenance and updates
Security and governance guidance
Priority support and optimization
Ideal for teams without DevOps

Get Managed Pricing →

Both options include free setup support. Whether you choose self-hosted or managed, we ensure your MCP Server is secure, scaled, and production-ready.

MCP tools

Supported Odoo MCP Tools and Integrations

Eight purpose-built tools cover every AI agent use case, from model discovery to full CRUD operations.

list_models

Discover allowed models for a key (cached)

describe_model

Fields and metadata for agent planning (cached)

search_records

Domain-based search with validation

get_record

Fetch by ID with field access control

create_record

Create with validation and audit logging

update_record

Update with Odoo security rules enforced

delete_record

Delete only if allowed by key scope

initialize

Server info, capabilities, and metrics

Batch support: JSON-RPC array payloads are supported for multi-call requests. All tools are rate-limited and schema results are cached for 5 minutes.

v2.0+

What's new in v2.0+

This release brings production-ready infrastructure improvements for enterprise deployments.

+Distributed rate limiting via Redis with fallback

+Schema caching with 96% faster model discovery

+Zero-downtime token rotation with grace periods

+Token versioning with multiple active tokens per key

+Prometheus metrics endpoint for monitoring

+Automatic token expiration with notifications

+Multi-worker support with no shared state issues

+Production tested at scale with real workloads

Comparison

Why use MCP instead of a REST API for Odoo AI integration?

Why the Model Context Protocol is a better approach than custom REST APIs for connecting AI agents to Odoo.

Feature	MCP for Odoo	Custom REST API
Protocol standard	Open standard (Anthropic MCP spec)	Varies per implementation
AI agent native	Yes, designed for LLMs	No, requires wrapper code
Tool discovery	Automatic, agents discover available tools	Manual, agents need documentation
Odoo permission inheritance	Built-in with KSROlabs	Must be implemented manually
Audit trail	Automatic via Odoo chatter	Must be added separately
Setup complexity	Install module and configure scopes	Build endpoints, auth, and mapping

Consultancy

Odoo MCP Server Implementation and AI Consultancy Partner

We are not just a tool provider. We are your Odoo AI consultancy partner from MCP Server implementation to enterprise-scale orchestration.

MCP Strategy and Planning

Design your Odoo AI integration strategy. Identify high-impact AI use cases, scope implementation, and plan rollout across teams.

Implementation and Setup

End-to-end MCP Server deployment with configuration, API key scoping, security hardening, and production readiness validation.

AI Agent Customization

Build and customize AI agents for your Odoo workflows, including sales automation, CRM intelligence, finance processing, and more.

Security and Governance

Audit API key scopes, implement least-privilege access, enforce rate limiting, and establish compliance workflows for AI operations.

Ongoing Support and Optimization

Performance tuning, monitoring setup, token rotation management, and team training for sustained AI-driven productivity.

Free support

100% Free Setup Support

Installing the module is easy. Setting it up correctly for production AI usage is critical. We personally help you configure, secure, and deploy your MCP Server at no extra cost.

What we help you with

+Complete MCP Server configuration
+Secure API key creation with proper scopes
+Model-level least-privilege setup
+Rate limiting and token rotation configuration
+Claude Desktop deployment guidance
+Connecting Claude, ChatGPT, and Gemini clients
+Production best-practice review

Why contact us?

MCP is powerful, but misconfiguration can limit its capabilities. When implemented correctly, this module can:

+Enable governed AI automation inside Odoo
+Power secure AI copilots for sales, CRM, and accounting
+Unlock cloud-based AI orchestration workflows
+Deliver enterprise-grade observability and control

Ready to connect AI agents to Odoo?

Install the MCP Server for Odoo or contact us for free setup support and expert guidance.

View the Module →Request Free Setup

MCP for Odoo - frequently asked questions

Common questions about the Odoo MCP Server, Model Context Protocol integration, and connecting AI agents to Odoo.

What is the Model Context Protocol (MCP)?

The Model Context Protocol (MCP) is an open standard created by Anthropic that standardizes how AI agents, large language models (LLMs), and automation frameworks connect to external systems and data sources. MCP replaces custom integration code with a standardized protocol where AI agents automatically discover available tools and data models through structured JSON-RPC messages. Unlike REST APIs that require different wrapper code for each AI client, MCP works natively with all MCP-compatible frameworks including Claude, OpenAI GPT models, and tools like LangChain and AutoGen. MCP provides AI systems with a governed, structured interface to securely read data, execute queries, and take actions in business applications — while respecting existing permission systems and audit requirements. The KSROlabs MCP Server for Odoo implements the full MCP specification inside Odoo ERP, making it the only native Odoo module to provide this standard.

Which AI models or agents does the Odoo MCP Server support?

Any MCP-compatible client works with the Odoo MCP Server, including Claude (Anthropic), OpenAI GPT models, and custom AI agents built on frameworks like LangChain, AutoGen, CrewAI, or the Claude Agent SDK. Any tool that speaks the MCP protocol can connect.

Is it safe to expose Odoo to an AI agent via MCP?

Yes. The KSROlabs MCP Server enforces Odoo's built-in access control lists (ACLs) and record rules. AI agents can only read or write data that their associated Odoo user account is authorised to access. Every action is logged in Odoo's audit trail.

Can the AI agent write to Odoo, or only read?

Both read and write operations are supported. You configure per-client permission scopes — for example, allowing reporting-only (read) access for one AI agent and full CRUD access for another. Write access can be disabled entirely for maximum safety.

How do I install the MCP Server for Odoo?

Install the module from the Odoo App Store like any standard Odoo module. After installation, navigate to Settings → MCP Server to configure client credentials, allowed models, and access scopes. No custom API development is required.

What is the difference between MCP and a REST API for Odoo?

A REST API exposes raw endpoints that require custom integration code. MCP provides a standardised protocol specifically designed for AI agent interaction — with built-in tool discovery, structured responses, and governed access. MCP lets AI agents understand what actions are available without custom code.

Can I connect Claude to Odoo using the MCP Server?

Yes. Claude by Anthropic natively supports MCP. Once the KSROlabs MCP Server module is installed in Odoo, you can point Claude Desktop, Claude Code, or the Claude API at your Odoo MCP endpoint to query sales orders, invoices, inventory, CRM data, and more.

Does the Odoo MCP Server work with Odoo Community Edition?

Yes. The MCP Server for Odoo works with both Odoo Community and Odoo Enterprise editions. All standard Odoo models are accessible, and the module respects the same permission system regardless of edition.

Which Odoo versions does the MCP Server support?

The MCP Server module is built and tested on Odoo 16.0 and above, including Odoo 17 and Odoo 18. Check the Odoo App Store listing for the latest version compatibility.

Can multiple AI agents connect to the same Odoo instance?

Yes. Each AI agent is configured as a separate MCP client with its own credentials and access scopes. You can run multiple agents simultaneously — for example, one for reporting and another for workflow automation — without any conflict.

What Odoo data can AI agents access through MCP?

AI agents can access any Odoo model you configure: sales orders, purchase orders, invoices, inventory, CRM leads, contacts, projects, timesheets, and custom models. You control exactly which models and fields each MCP client can see.

Is the MCP Server for Odoo suitable for production use?

Yes. The module is designed for production environments with governed access, audit logging, configurable rate limits, and Odoo permission inheritance. It is production-safe by design and used by businesses connecting AI agents to live Odoo instances.

Is there a hosted or online version of the Odoo MCP Server?

Yes. KSROlabs offers a fully managed deployment service where we handle installation, configuration, and ongoing management in your Odoo environment. This is ideal for teams without in-house DevOps resources. Contact our sales team for managed deployment pricing and availability.

Can I use the MCP Server with Odoo Online (Odoo.sh / Odoo Cloud)?

Yes. The MCP Server works with self-hosted Odoo instances and Odoo.sh. For Odoo Cloud / managed SaaS environments, our managed deployment service can configure everything for you. Reach out to discuss your specific Odoo hosting setup.

Last updated: April 17, 2026

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