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 cortex-docs-old · MCP Server · ★ 165
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cortex safe to install? View the security audit →
Every developer. Every agent. Cortex turns API specifications and Markdown into typed SDKs, interactive documentation, and an MCP server from one project configuration. OpenAPI · AsyncAPI · GraphQL · gRPC · OpenRPC · Markdown Documentation · Live demo · Website · <a hre
| Stars | 165 |
| Forks | 172 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.859520601662/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-22 |
| Created | 2026-08-12 |
| Platforms | cli, mcp, node |
| Est. Tokens | ~17k |
These tools work well together with cortex for enhanced workflows:
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cortex is Generate typed SDKs from OpenAPI, AsyncAPI, GraphQL, gRPC, and OpenRPC—plus interactive docs and MCP servers enriched with custom Markdown.. It is categorized as a MCP Server with 165 GitHub stars.
cortex is primarily written in TypeScript. It covers topics such as api-client, api-documentation, api-reference.
You can find installation instructions and usage details in the cortex GitHub repository at github.com/cortex-docs-old/cortex. The project has 165 stars and 172 forks, indicating an active community.
cortex is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to cortex on Agent Skills Hub include jdocmunch-mcp, mcp-anything, LAP. 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: