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 tadata-org · MCP Server · ★ 12.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is fastapi_mcp safe to install? View the security audit →
Built by Tadata FastAPI-MCP Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth! <img sr
| Stars | 12,009 |
| Forks | 967 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 74.9565886749186/100 |
| Open Issues | 169 |
| Last Updated | 2025-11-24 |
| Created | 2025-03-08 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~27k |
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fastapi_mcp is Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!. It is categorized as a MCP Server with 12.0k GitHub stars.
fastapi_mcp is primarily written in Python. It covers topics such as ai, authentication, authorization.
You can find installation instructions and usage details in the fastapi_mcp GitHub repository at github.com/tadata-org/fastapi_mcp. The project has 12.0k stars and 967 forks, indicating an active community.
fastapi_mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to fastapi_mcp on Agent Skills Hub include Unity-MCP, dbhub, headroom. 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: