No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by open-metadata · MCP Server · ★ 15.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is OpenMetadata safe to install? View the security audit →
Empower your Data Journey with OpenMetadata What is OpenMetadata? OpenMetadata is a unified metadata platform for data discovery, data observability, and data governance powered by a central metadata repository, in-depth column-level lineage, and seamless team collaboration. It is one of the fastest-growing open-source projects with a vibrant community and adoption by a diverse set of companies in a variety of industry verticals. Based on Open Metadata Standards and APIs, supporting connectors to a wide range of data services, OpenMetadata enables end-to-end metadata management, giving you the freedom to unlock the value of your data assets. Contents: Features [Try our Sandbox](#try-ou
| Stars | 15,303 |
| Forks | 2,399 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 60.2704500278877/100 |
| Open Issues | 862 |
| Last Updated | 2026-09-23 |
| Created | 2021-08-01 |
| Platforms | mcp, node |
| Est. Tokens | ~15k |
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OpenMetadata is The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.. It is categorized as a MCP Server with 15.3k GitHub stars.
OpenMetadata is primarily written in TypeScript. It covers topics such as context, context-layer, data-catalog.
You can find installation instructions and usage details in the OpenMetadata GitHub repository at github.com/open-metadata/OpenMetadata. The project has 15.3k stars and 2399 forks, indicating an active community.
OpenMetadata is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to OpenMetadata on Agent Skills Hub include whodb, lean-ctx, context7. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: