OCL Context Layer MCP server
io.github.Nantiai/ocl-standard·v0.1.0-alpha.1Reference MCP server for OCL, an open standard giving AI agents scoped business meaning for Odoo.
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OCL Context Layer tools
No tool declarations could be read from the package source. They show once the server is installed.
Public scan report
scanner v0.1.10 · 2026-10-15 · same rubric, same numbers if you re-run it
- –Code scanpackage could not be scannedn/a
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 39 days ago12/15
- Maintainer identityregistry namespace matches repository owner7/10
How OCL Context Layer compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 78/100
- higher than 57% of 48,243 servers
Install OCL Context Layer in Claude Code, Cursor or VS Code
claude mcp add ocl-standard -- docker run -i --rm ghcr.io/nantiai/ocl-examples:0.1.0-alpha.1
What the publisher says
From the OCL Context Layer repository's README, as published. We do not edit it. Read it on GitHub
OCL 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 -> OdooUse OCL
Choose the surface that fits your product:
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.
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Grade history
- 2026-10-15downgradeA → Bscore 78
OCL Context Layer: common questions
- Is OCL Context Layer MCP server safe?
- Mostly: it is graded B (78/100). Read the OCL Context Layer safety report
- How do I install OCL Context Layer?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does OCL Context Layer need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is OCL Context Layer maintained?
- The last commit was 59 days ago (2026-09-07). The latest release is v0.1.0-alpha.1.