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 Idun-Group · MCP Server · ★ 201
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is idun-agent-platform safe to install? View the security audit →
English العربية Productionize LangGraph & ADK agents. Self-hosted. Open source. No vendor lock-in. Cloud · Try the demos · Quickstart · Docs · Discord · [Book a dem
| Stars | 201 |
| Forks | 13 |
| Language | Python |
| Category | MCP Server |
| License | GPL-3.0 |
| Quality Score | 71.3896449361396/100 |
| Open Issues | 110 |
| Last Updated | 2026-09-22 |
| Created | 2025-05-28 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~17k |
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idun-agent-platform is 🟪 Open-source runtime that ships any LangGraph or Google ADK agent as a production-ready FastAPI service. Bundled , AG-UI copilotkit API, chat UI, 15+ guardrails, MCP, OpenTelemetry, OIDC. One pip in. It is categorized as a MCP Server with 201 GitHub stars.
idun-agent-platform is primarily written in Python. It covers topics such as a2a-protocol, ag-ui-protocol, agent-platform.
You can find installation instructions and usage details in the idun-agent-platform GitHub repository at github.com/Idun-Group/idun-agent-platform. The project has 201 stars and 13 forks, indicating an active community.
idun-agent-platform is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to idun-agent-platform on Agent Skills Hub include DeepMCPAgent, oreilly-ai-agents, platform. 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: