# Agentic Travel Recommendations Service

> Agentic Travel Recommendations Service — varma904-agentic-travel-recommendations. Use this tool when you need to generate personalized travel recommendations based on member profiles and partner-specific rules. It solves problems of tailored travel planning, taking into account individual preferences and policy constraints. The service accepts member data as input and outputs customized travel suggestions, making it ideal for use cases requiring adaptive and informed travel guidance.

Canonical page: https://skillsregistry.net/skills/varma904-agentic-travel-recommendations  
JSON: https://api.skillsregistry.net/v1/skills/varma904-agentic-travel-recommendations

## Description

MCP server for agentic travel recommendations, exposing tools to retrieve member profiles and personalized travel recommendations with partner-specific rules and policies.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c9jpqqqxud)
- **Repository:** <https://github.com/Varma904/agentic-travel-recommendations>

## 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": "varma904-agentic-travel-recommendations"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/varma904-agentic-travel-recommendations` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/varma904-agentic-travel-recommendations/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