# Agentic Travel Recommendations API

> Agentic Travel Recommendations API — beckett-eiland-mcp-service-proof-of-concept. Use this tool when you need to provide personalized travel recommendations that adhere to specific partner rules and loyalty programs. It solves the problem of generating relevant and restricted travel suggestions for members, taking into account category exclusions, loyalty tier eligibility, and recommendation limits. The API accepts member data and partner rules as inputs and outputs tailored travel recommendations.

Canonical page: https://skillsregistry.net/skills/beckett-eiland-mcp-service-proof-of-concept  
JSON: https://api.skillsregistry.net/v1/skills/beckett-eiland-mcp-service-proof-of-concept

## Description

MCP server that provides AI agents with personalized travel recommendations for members, enforcing partner-specific rules such as category exclusions, loyalty tier eligibility, and recommendation caps.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lzbomf03p7)
- **Repository:** <https://github.com/Beckett-Eiland/mcp-service-proof-of-concept>

## 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": "beckett-eiland-mcp-service-proof-of-concept"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/beckett-eiland-mcp-service-proof-of-concept` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/beckett-eiland-mcp-service-proof-of-concept/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