# mcp-resy

> mcp-resy — markswendsen-code-mcp-resy. Use this tool when you need to automate restaurant reservations or integrate booking capabilities into AI-powered applications. It solves problems related to manual reservation processes, providing a seamless interface for AI agents to interact with the Resy platform. The tool accepts reservation requests as input and returns booking confirmations as output, ideal for use cases involving automated customer service or virtual concierge services.

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

## Description

MCP server for Resy - let AI agents make restaurant reservations

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/markswendsen-code/mcp-resy)

## 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": "markswendsen-code-mcp-resy"
    }
  }
}
```

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