arrivia-mcp-travel-recommendations

ChandraMohanBusam/arrivia-mcp-travel-recommendations

★ 0 stars Python 🤖 AI/LLM Updated 1d ago

MCP server for AI-agent-driven travel recommendations with partner rule enforcement, Redis session memory, structured logging, Bearer auth, and Docker Compose. Built with FastMCP and Python.

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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "arrivia-mcp-travel-r": {
      "command": "uvx",
      "args": [
        "arrivia-mcp-travel-recommendations"
      ]
    }
  }
}

Or install with pip: pip install arrivia-mcp-travel-recommendations

README Excerpt

A proof-of-concept for the arrivia AI Concierge feature. This service exposes an MCP server that AI agents (Claude Code, etc.) can discover and invoke to generate personalized, partner-rule-enforced travel recommendations. --- ```bash pip install -r requirements.txt python -m pytest tests/ -v python agent_client.py

Tools (20)

INFOLOG_FILE_MAX_DAYSLOG_FILE_PATHLOG_LEVELLOG_TO_FILEMCP_BEARER_TOKENMCP_HOSTMCP_PORTREDIS_DBREDIS_HOSTREDIS_PASSWORDREDIS_PORTSESSION_TTL_HOURSdiagnose_memberget_member_profile_toolget_recommendations_toolget_session_context_toolhealth_check_toollist_members_toollist_partners_tool

arrivia-mcp-travel-recommendations

Quick Install

README Excerpt

Tools (20)

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