# resy-mcp

> Use this tool when you need to manage Resy reservations efficiently, as it allows you to search restaurants, book tables, and handle reservations through natural language inputs. This tool solves problems such as streamlining reservation management and providing easy access to favorite restaurants and Priority Notify features. It takes natural language commands as input and outputs reservation details and management options.

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

## Description

Manage Resy reservations via natural language: search restaurants, book tables, and manage reservations, favorites, and Priority Notify.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gn2i1iaxbe)
- **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-mcp"
    }
  }
}
```

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