# Resy

> Use this tool when you need to manage restaurant reservations through the Resy platform, solving problems like finding available tables and booking reservations. It takes inputs like restaurant names, dates, and times, and outputs reservation availability and booking confirmations. Use Resy to streamline the reservation process for AI-powered concierge services or virtual assistants.

Canonical page: https://skillsregistry.net/skills/chrischall-resy  
JSON: https://api.skillsregistry.net/v1/skills/chrischall-resy

## Description

Resy enables AI assistants to browse and book restaurant reservations through the Resy platform. It wraps the Resy API to support searching for available tables, checking restaurant details, and completing reservation bookings. The server handles authentication and surfaces reservation availability for supported venues.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/chrischall-resy)
- **Repository:** <https://github.com/chrischall/resy-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

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

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "chrischall-resy"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chrischall-resy` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chrischall-resy/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt