open-ontologies
Plan, apply and roll back changes to a production ontology, with a blast radius report and a proof an auditor can re-check.
No outside reports on file
This tool is safe when ontology files are trusted, credentials are tightly locked down, and audit logs are read-only—but it can modify your data structure, so misconfiguration or compromised access keys are serious risks.
Based on public adoption and transparency signals as of Oct 22, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachConnects to outside service APINOTED
- CredentialsRequires API key or tokenREVIEW
- Package sourceGitHub (fabio-rovai/open-ontologies)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/fabio-rovai/open-ontologies ↗
Everything known
We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.
0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30
Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-22.
Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.
About Open Ontologies
This is a tool for managing changes to ontologies (structured knowledge systems that define how data relates). It lets you plan changes, apply them to a live system, and roll them back if needed—while tracking the scope of impact and creating audit records that can be verified.
Who it’s for
Data engineers and knowledge managers who maintain ontologies in production and need careful change control with audit trails. It's aimed at teams that need proof their changes are safe and trackable.
Alternatives
- Liquibase or Flyway: Version control and migration tools for databases and schemas.
- Terraform: Infrastructure-as-code tool that can manage cloud resources with state tracking and rollback.
- dbt (data build tool): Lineage and testing for data transformation pipelines with change tracking.
Setup
Check these steps against the project’s own instructions before running anything.
Follow the project's README at https://github.com/fabio-rovai/open-ontologies (opens external site) for installation and configuration steps specific to your ontology system.
Why this grade
Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 2.2k
- Listing last refreshed
- 2026-10-30
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Risks to watch for
- Database or ontology write access: The tool can modify your live ontology system, so it needs credentials that could be exploited to corrupt or delete structured data.
- Blast radius calculations: The reporting feature analyzes impact scope—an attacker could abuse this to understand what data depends on what, then target vulnerable parts.
- Audit logs as targets: If someone gains access, they could try to tamper with the proof logs to hide malicious changes.
- Misunderstood rollback scope: If the tool's rollback logic has bugs, a rollback might not restore what you expect, leaving partial changes behind.
- Malicious ontology files: If the tool reads ontology definitions from files or URLs, attackers could craft files with embedded instructions or data exfiltration attempts.
How to lower the risk
Least-privilege permissions
- Create a dedicated service account with only ontology modification rights, not admin access.
- Lock down who can trigger plan, apply, or rollback operations.
Network isolation
- Run this only on machines that can reach your ontology backend; don't expose it to the internet.
- Keep audit logs on a separate, read-only storage system.
Monitoring
- Log every plan, apply, and rollback action with timestamps and user IDs.
- Alert on unexpected blast radius reports or failed rollbacks.
Red flags to watch for
- Ontology files from unknown sources; always review changes before applying.
- Large or unusual blast radius reports; they might indicate a bug or attack.
- Audit logs that go missing or become unwritable.
Questions
How do I install Open Ontologies?
Open Ontologies does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/fabio-rovai/open-ontologies.
Are there security reports about Open Ontologies?
No reports found for this package in our research (last checked 2026-10-30). Open Ontologies currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include database or ontology write access, blast radius calculations, review logs as targets.
Is Open Ontologies actively maintained?
Open Ontologies has 2.2k GitHub stars. Our directory data was last refreshed on 2026-10-30. Check recent commit activity, release tags, and open issues at github.com/fabio-rovai/open-ontologies before pinning it in production.
What are alternatives to Open Ontologies?
Notable alternatives to Open Ontologies include Liquibase, Terraform (Infrastructure-as-code tool that can manage cloud resources with state tracking and rollback), dbt. You can also compare Open Ontologies side by side with other MCP servers in the Related tools section on this page.
Key facts
- Type
- App connector
- Publisher
- fabio-rovai
- Source code
- github.com/fabio-rovai/open-ontologies
- Est. context load
- ~700 tokens / turn (~4 tool schemas, 0.35% of 200k context)
- Popularity
- 2.2k GitHub stars
- Last updated
- 2026-10-30
- Last graded
- 2026-10-22
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