About OCL Context Layer
OCL Context Layer is an example MCP server for the OCL standard, aimed at developers integrating agents with Odoo. It supplies scoped business meaning, field explanations, and ambiguity warnings; the repository server demonstrates public examples, not the commercial production runtime.
Key features
- 01Provide Odoo business-context examples
- 02Resolve the meaning of business nouns
- 03Explain fields and their applicability
- 04Demonstrate semantic-format interoperability
- 05Include an executable conformance suite
Use cases
- 01Give an agent business meaning for Odoo records and fields
- 02Identify ambiguity in terms such as revenue
- 03Test OCL document and implementation conformance
MCP support
The example MCP server offers calls such as get_context, resolve_noun, and explain_field, demonstrating the OCL tool contract with ten public candidate examples. It does not contain the commercial Odoo 19 runtime.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
docker run -i --rm ghcr.io/nantiai/ocl-examples:0.1.0-alpha.1Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
ghcr.io/nantiai/ocl-examples:0.1.0-alpha.1stdioTools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEOCL standard
OCL is an experimental open format for giving AI systems structured, scoped, and verifiable business meaning for Odoo.
An Odoo connector explains how to reach records. An OCL context pack explains what relevant records and fields mean, which tempting interpretations are wrong, what ambiguity must be resolved, and which safety boundaries still apply.
question -> OCL context -> AI reasoning + existing connector -> Odoo
Use OCL
Choose the surface that fits your product:
| Route | Call | Benefit | Alpha availability |
|---|---|---|---|
| MCP for AI agents | get_context, resolve_noun, explain_field | Put scoped Odoo meaning directly in an agent's tool loop | Public example or invitation runtime |
| CLI | get-context "What is revenue?" | Inspect a context pack and its warnings immediately | Public examples now |
| Python validator | validate_entry(entry, schema) | Read and produce interoperable OCL documents | Available now |
| TypeScript integration | Five production operation shapes | Connect a product to the verified hosted runtime | Source alpha and invitation runtime |
Clone and try the context behavior:
git clone https://github.com/Nantiai/ocl-standard.git
cd ocl-standard
python reference/python/ocl_examples.py get-context "What is revenue?"
The result asks which revenue definition applies and returns the paired warning
against treating account.move.amount_total as universal revenue.
Add the example MCP to an agent
{
"mcpServers": {
"ocl-public-examples": {
"command": "python",
"args": [
"/absolute/path/to/ocl-standard/reference/python/ocl_examples.py",
"serve-mcp"
]
}
}
}
This local server demonstrates the real OCL tool contract using ten public candidate examples. It is not the commercial Odoo 19 runtime.
See Using OCL for the integration flow, MCP calls, CLI commands, SDK examples, response handling, and current access boundary. Connector and MCP implementers should freeze against the connector runtime contract and its conformance fixture. Hosted runtime clients can follow the verified alpha call guide. Developers can first try one live verified decision, then start a scoped seven-day trial without GitHub, package installation, Odoo credentials, or customer data. The GitHub request and email paths remain available as fallbacks.
This repository contains the open interoperability layer:
- JSON Schemas for semantic entries and request-scoped context packs;
- a dependency-light Python validator and TypeScript client shape;
- ten Odoo 19 candidate examples covering the major knowledge types;
- an executable conformance suite;
- an example-only resolver and MCP server;
- public benchmark methodology.
It does not contain nanti.ai's commercial registry, production assembler, verification harness, source fingerprints, private benchmarks, tenant overlays, memory, or unreleased ontology candidates.
Status
Version 0.1.0 is an experimental technical alpha. The format can change while
independent implementations test it. The examples demonstrate the format; they
are not the commercial verified registry and do not carry a lifetime guarantee.
Odoo 19 is the only current stock-version focus.
External developer alpha
Developers can now clone the standard, run conformance, integrate the example MCP server, and report an independent implementation. See the developer alpha guide.
The public alpha is an interoperability surface, not free bulk access to the
commercial verified registry. A bounded verified runtime is live at
https://api.context.nanti.ai; its native form immediately issues a scoped,
expiring evaluation key.
Core idea
meaning -> evidence -> rule -> assertion -> applicability -> confidence
Facts do not become verified because an LLM wrote plausible JSON. A conforming document describes evidence and assertions. A registry operator separately decides which verification policy is sufficient for a release claim.
Learn more
- Introduction
- Technical alpha
- Format v0
- Quickstart
- Using OCL
- Connector runtime contract
- External developer alpha
- Governance
- Contributing
Independence
Odoo is a trademark of Odoo S.A. This project is independently developed and is not affiliated with or endorsed by Odoo S.A.
License
The open repository is licensed under the Apache License 2.0. The commercial OCL registry and services are separate and are not distributed by this repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.