elicitly

elicitly — the Free Edition local MCP server

A local (stdio) MCP server that makes MCP elicitation easy to use from any prompt or Agent Skill — and its cross-host support visible.

Tools

• elicit_confirm — an OK/Cancel confirmation modeled on JavaScript's confirm(); override labels.ok/labels.cancel to relabel or localize (e.g. Aceptar/Cancelar).
• elicit_form — fire a form elicitation with your own JSON schema (requestedSchema subset); returns the raw {action, content}.
• elicit_doctor — reports the connected host's support for the client features (elicitation form vs url mode, sampling, roots), and with probeElicitation: true runs one live elicitation round-trip and classifies the result (working, advertised_but_autocanceled, user_declined, advertised_but_unanswered, unsupported).

Run it

npx -y elicitly

Register it with any MCP host as a stdio server. In Claude Code:

claude mcp add elicitly -- npx -y elicitly

or in a host config file (.mcp.json or client settings):

{
  "mcpServers": {
    "elicitly": { "command": "npx", "args": ["-y", "elicitly"] }
  }
}

Claude Desktop (one-click)

Download elicitly.mcpb from the latest release and open it in Claude Desktop (or Settings → Extensions → Install extension). The bundle is self-contained — no Node.js or npm setup of your own; it runs on Claude Desktop's managed runtime. Build it from source with pnpm --filter elicitly build:mcpb.

Exercise it

• elicit_doctor — passive capability report, no user prompt. Check support.elicitationForm / support.elicitationUrl.
• elicit_doctor with probeElicitation: true — one real elicitation round-trip; read probes.elicitationForm.verdict.
• elicit_confirm — an OK/Cancel prompt (e.g. message: "Ship it?").
• elicit_form — your own JSON schema; inspect the raw {action, content}.

Full docs: elicitly.ai/docs

From source

pnpm install
pnpm --filter elicitly build   # produces packages/elicitly/dist/cli.mjs
claude mcp add elicitly -- node /absolute/path/to/packages/elicitly/dist/cli.mjs

Privacy

The server runs entirely on your machine: tool calls and elicitation answers stay between your MCP host and the local process, and nothing is sent anywhere. The contribute-fingerprint prompt only prepares a GitHub issue link — you review and submit it yourself. Project privacy policy: https://www.elicitly.ai/privacy/

License

Apache-2.0