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 promptise-com · MCP Server · ★ 873
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Foundry safe to install? View the security audit →
Promptise Foundry The foundation layer for agentic intelligence. Ship full-stack agentic systems the way they're meant to be built — production-ready, secure by default, with the developer experience modern Python deserves. <a href="https://github.com/promptise-com/foundry/commits
| Stars | 873 |
| Forks | 129 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 57.5233567832512/100 |
| Open Issues | 5 |
| Last Updated | 2026-08-20 |
| Created | 2025-08-29 |
| Platforms | mcp, python |
| Est. Tokens | ~17k |
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Foundry is The foundation layer for agentic intelligence.. It is categorized as a MCP Server with 873 GitHub stars.
Foundry is primarily written in Python. It covers topics such as agent-framework, agent-runtime, agentic-ai.
You can find installation instructions and usage details in the Foundry GitHub repository at github.com/promptise-com/Foundry. The project has 873 stars and 129 forks, indicating an active community.
Foundry is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to Foundry on Agent Skills Hub include DeepMCPAgent, sre, swarmclaw. 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: