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Elicitly

Official

by elicitly · TypeScript

Human-in-the-loop for AI agents over MCP elicitation: confirm/form dialogs plus a capability doctor

ai.elicitly/elicitly MCP Server

This MCP server provides a human-in-the-loop flow for AI agents focused on MCP elicitation. It supports confirm/form dialogs and includes a “capability doctor” component to assess or guide agent capabilities during the elicitation process. The server is associated with the elicitly package and @elicitly/tools.

🛠️ Key Features

  • Human-in-the-loop for AI agents over MCP elicitation
  • Confirm/form dialog support
  • Capability doctor

🚀 Use Cases

  • Validating elicitation outputs with human confirmation
  • Assisting AI agents in identifying or correcting capability gaps
  • Implementing MCP elicitation workflows

⚡ Developer Benefits

  • Designed for MCP elicitation with explicit human review steps
  • Structured dialog interactions (confirm/form)
  • Capability-focused support via a capability doctor

⚠️ Limitations

  • Limited information available beyond the README excerpt content provided here; tooling, setup, and exact MCP interfaces are not included in the source material.

Topics

agent-skillselicitationhuman-in-the-loopmcpmcp-servermodel-context-protocol