Human-in-the-loop for AI agents over MCP elicitation: confirm/form dialogs plus a capability doctor
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β we're steadily working through the catalog.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Your AI has questions. Your users have answers. Elicitly connects them β human-in-the-loop for prompts and Agent Skills over MCP elicitation.
This repository is the open-source Free Edition: the elicitly local MCP
server and the @elicitly/tools library. The hosted Pro Edition β durable
approvals with review pages, an audit trail, and organization dashboards β
lives at elicitly.ai.
Run the local (stdio) MCP server straight from npm β no clone, no config:
Register it in your MCP host (Claude Code shown; any stdio host works):
Then ask your agent to call elicit_confirm ("Ship it?"), elicit_form
(your own JSON schema), or elicit_doctor (does this host actually support
elicitation?).
| Package | What it is |
|---|---|
elicitly | The local stdio MCP server (npx -y elicitly) |
@elicitly/tools | Embeddable toolkit: register the elicitation tools on your own McpServer |
MCP has a native answer for asking a human β elicitation β but host support is
inconsistent, and only an MCP server can trigger it. Nobody wants to roll
their own server just to ask a question. Elicitly is that server (or, via
@elicitly/tools, the toolkit inside yours), plus the diagnostic
(elicit_doctor) that makes real-world host support visible β feeding the
public Support Matrix.
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