operational-ontology MCP Server
gura105/operational-ontology
[](https://agentrank-ai.com/tool/gura105--operational-ontology/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) A minimal, readable reference implementation of the Operational Ontology pattern. Palantir Foundry is one implementation; this is the concept, minimized.
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gura105/operational-ontology is a TypeScript tool licensed under MIT. A minimal, readable reference implementation of the Operational Ontology pattern. Palantir Foundry is one implementation; this is the concept, minimized. Topics: ai-agents, domain-modeling, mcp, ontology, operational-ontology, palantir-foundry, typescript.
Ranked #640 out of 24846 indexed tools.
In the top 3% of all indexed tools.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
187 stars → growing community
Last commit 4d ago → actively maintained
1/1 issues closed → responsive maintainer
1 contributor → solo project
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
**English** | [日本語](./docs/README.ja.md) | [简体中文](./docs/README.zh-CN.md) # Operational Ontology > **An operational ontology is a shared domain model over other systems' data: objects and links for reading the business, and actions that enforce business rules, audit attempts, and write changes back to the systems of record.** > > A semantic layer lets you *read* your business. An operational ontology lets you *run* it. This repository makes that definition runnable in a small TypeScript reference implementation. Palantir Foundry's Ontology is the pattern's starting point; this example isolates the ideas so you can read, fork, and adapt them. It is a learning resource, not a framework or an npm dependency. ## Quickstart Requires Node.js 24 or later and pnpm. ```sh pnpm install pnpm demo # physical data → integrate → index → read → write → refusal → write-back pnpm test # verify the behavior ``` The demo follows the [accompanying article](https://www.dataengineeringweekly.coRead full README on GitHub →
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