# Food Travel MCP Server

> Use this tool when you need to integrate location-based food recommendations into your AI application, enabling users to search for restaurants and receive personalized suggestions based on their location and preferences. It solves problems of discovery and decision-making for users looking for dining options, providing inputs such as location and cuisine preferences and outputs such as restaurant listings and recommendations. Ideal for use in travel, hospitality, or food discovery platforms, it streamlines the process of finding suitable dining establishments.

Canonical page: https://skillsregistry.net/skills/snehalsaurabh-travelio-mcp  
JSON: https://api.skillsregistry.net/v1/skills/snehalsaurabh-travelio-mcp

## Description

An MCP server that integrates with Google Places API to enable AI clients to search for restaurants and get food recommendations based on location and preferences.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kb65xu7o42)
- **Repository:** <https://github.com/snehalsaurabh/Travelio-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": "snehalsaurabh-travelio-mcp"
    }
  }
}
```

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