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 kadykov · MCP Server · ★ 76
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-openapi-schema-explorer safe to install? View the security audit →
MCP OpenAPI Schema Explorer An MCP (Model Context Protocol) server that provides token-efficient access to OpenAPI (v3.0) and Swagger (v2.0) specifications via MCP Resource Templates.
| Stars | 76 |
| Forks | 14 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 72.7835863998468/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-29 |
| Created | 2025-04-08 |
| Platforms | cli, mcp, node |
| Est. Tokens | ~17k |
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mcp-openapi-schema-explorer is MCP server providing token-efficient access to OpenAPI/Swagger specs via MCP Resource Templates for client-side exploration.. It is categorized as a MCP Server with 76 GitHub stars.
mcp-openapi-schema-explorer is primarily written in TypeScript. It covers topics such as api-specification, developer-tools, development.
You can find installation instructions and usage details in the mcp-openapi-schema-explorer GitHub repository at github.com/kadykov/mcp-openapi-schema-explorer. The project has 76 stars and 14 forks, indicating an active community.
mcp-openapi-schema-explorer is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mcp-openapi-schema-explorer on Agent Skills Hub include easy-mcp, claude-historian-mcp, claude-emporium. 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: