adminforth
It bridges the gap between human operators and AI agents by providing a unified, permissioned interface for data manipulation.
Admin panels for humans and AI agents. Let agents search, update, and act on your data through built-in chat or MCP, with the same permissions as your team. Open-source and self-hosted.
- Ask Claude to search and update records in your database via chat
- Automate data management tasks using AI agents with existing user permissions
- Generate administrative interfaces for both human teams and AI agents
It bridges the gap between human operators and AI agents by providing a unified, permissioned interface for data manipulation. This reduces operational friction and security risks when deploying autonomous agents into production workflows.
Engineering teams building agentic workflows that require secure, audited access to internal data and administrative actions.
https://github.com/devforth/adminforth
By devforth
How to Get It
claude plugins install devforth/adminforth
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Search and update records in my database via chat
Trust Signals Auto-scanned
Community Pulse Growing
Discussed on Hacker News
- MIT Admin framework extendable with TypeScript and Vue — Hacker News · 25 pts
- Show HN: AdminForth – Open-Source Admin Framework for Node.js and Vue — Hacker News · 2 pts
- How I Open-Sourced My Secret Access Tokens from GitHub, Slack, and NPM — Hacker News · 2 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 394 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 394 GitHub stars; contributors unknown; last commit 0d ago; license MIT.