AI Intervention Agent
Related Servers
Alternatives to AI Intervention Agent
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceEnables real-time user intervention for MCP agents via a Web UI and interactive_feedback tool, allowing users to review context and send instructions when agents drift from intent.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to submit work for human review over MCP or REST, then retrieve approvals, edits, or change requests without blocking. Reviewers can approve, edit, or send back items from a web or phone interface.MIT

Datashift MCP Serverofficial
AlicenseNot gradedqualityDmaintenanceEnables AI agents to submit tasks for human or AI review and receive decisions via MCP tools, adding human review checkpoints to workflows.MIT- AlicenseNot gradedqualityDmaintenanceHuman-in-the-Loop authorization gateway for AI Agents. Securely pause MCP workflows and route high-risk actions to human approvers via Slack or Email.60 npm1MIT
- AlicenseNot gradedqualityCmaintenanceProvides a human-in-the-loop dashboard for coordinating multiple AI agents, enabling real-time approval, feedback, and intervention on critical decisions.Mozilla Public 2.0
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to interact with any website through MCP, providing structured knowledge graph contexts, generated actions, and readiness scoring.MIT
TDQS
Scored across 1 tool
There is only one tool, so no selection ambiguity is possible. Its purpose (soliciting human feedback via a Web UI) is stated explicitly and cannot be confused with anything else on the server.
The lone tool uses a clear snake_case verb_noun name (`interactive_feedback`) consistent with common MCP conventions. With a single tool there is no opportunity for convention mixing.
The server's scope is deliberately narrow — one blocking human-in-the-loop request — so a single tool is defensible rather than thin. A slightly richer surface (e.g. a non-blocking/poll variant) would justify a higher score, but nothing here is redundant.
The ask-feedback lifecycle (render message/options, block, return reply, retry on failure, then surface cause after 3 failures) is well covered, including tolerance for alias parameters from sibling servers. Minor gaps exist: no way to query pending/previous feedback or to check status without issuing a new request.