pulsemcp verified Safe content atomic mcp-remote

Restaurant Finder with Preference Elicitation

This MCP server demonstrates preference elicitation techniques for restaurant recommendations by implementing an interactive system that learns user preferences through strategic questioning and feedback. Built using Python with the MCP CLI framework, it showcases how AI assistants can gather and refine user preferences dynamically rather than relying on static queries, using restaurant selection as a practical example domain. The implementation serves as a reference for building preference-aware recommendation systems and demonstrates advanced interaction patterns where the AI proactively elicits information to provide more personalized and relevant suggestions.

Cognium trust score

100%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: other
Source: PulseMCP
Repository: github.com/mcpjam/mcp-elicitation-restaurant-finder
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Restaurant Finder with Preference Elicitation from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"