confirm-mcp
Related Servers
Alternatives to confirm-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceProvides a human-in-the-loop approval gateway for AI agents, enforcing policies and audit logging for MCP-compatible tool calls.Apache 2.0
- AlicenseNot gradedqualityBmaintenanceAdds a human-in-the-loop checkpoint to MCP-capable AI coding agents, enabling them to pause and request user feedback before executing actions.12 npm71MIT
- AlicenseNot gradedqualityCmaintenanceA local human-in-the-loop gate for AI agents that blocks actions until human approval, with timeout defaulting to denial.12 npmMIT
- FlicenseNot gradedqualityBmaintenanceProvides a secure MCP boundary for AI agents, intercepting and validating tool calls, redacting secrets, and requiring human approval for sensitive actions with a tamper-evident audit trail.-
- AlicenseNot gradedqualityCmaintenanceMCP server that provides human-in-the-loop approval for risky AI agent actions, with durable state and audit logs.MIT
- AlicenseAqualityAmaintenanceAn MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.215Apache 2.0
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: one initiates an approval request and blocks, the other polls an existing request's status. There is no overlap or ambiguity between them.
Both tool names follow the consistent verb_noun pattern (request_approval, check_approval), using snake_case and parallel structure. This is a predictable and coherent naming convention.
With only 2 tools, the server is slightly under the typical 3-15 range, but the scope is highly focused on approval workflows. Both tools are essential and the count does not feel excessive or severely lacking.
The core lifecycle of approval is covered: creating a request and checking its status. A possible gap is cancellation of an approval request, but the blocking behavior of request_approval partially mitigates this, so the missing functionality is minor.