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airbnb-listing-mcp-connector

MCP connector for Airbnb listing management – enables AI-powered listing optimization, guest communication, and booking management through Claude

ソース情報

リポジトリ
Sandeeprdy1729/skill_galaxy
ソースの最終更新活動
2026年4月1日 06:11
検出された SKILL.md の言語
英語
スター
1
フォーク
0

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SKILL.md
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name
airbnb-listing-mcp-connector
description
MCP connector for Airbnb listing management – enables AI-powered listing optimization, guest communication, and booking management through Claude
license
Proprietary/API
tags
["business","hospitality","mcp","airbnb","travel"]
difficulty
intermediate
time_to_master
4-8 weeks
version
1.0.0
# Airbnb Listing MCP Connector ## Overview This skill enables Claude to interact with **Airbnb Listing** through the Model Context Protocol (MCP). It provides a bridge between Claude's AI capabilities and Airbnb Listing's REST API, allowing natural language control of Airbnb Listing operations, intelligent automation, and AI-powered assistance for Airbnb Listing workflows. ## When to Use This Skill - Listing description optimization with SEO - Guest message drafting and auto-responses - Pricing strategy and calendar management - Review response generation - Property amenity and photo management ## Architecture ``` ┌─────────────┐ ┌─────────────────┐ ┌──────────────────┐ │ Claude │────▶│ MCP Server │────▶│ Airbnb Listing │ │ (Client) │◀────│ (TypeScript) │◀────│ (REST API )│ └─────────────┘ └─────────────────┘ └──────────────────┘ ``` ## Core Concepts ### MCP Server Setup The connector implements an MCP server that exposes Airbnb Listing operations as tools Claude can invoke. The server translates natural language intentions into REST API calls. ### Key Endpoints/Interfaces `listings management`, `calendar`, `reservations`, `messages`, `reviews` ### Implementation ```typescript // Airbnb Listing MCP Server Implementation import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js"; import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js"; import { z } from "zod"; const server = new McpServer({ name: "airbnb-listing-mcp-connector", version: "1.0.0", }); // Tool: List/Query Resources server.tool( "list_resources", "List and query Airbnb Listing resources with optional filters", { query: z.string().optional().describe("Search query or filter"), limit: z.number().optional().describe("Max results to return"), }, async ({ query, limit }) => { // Call Airbnb Listing REST API const response = await fetch(`${BASE_URL}listings management`, { headers: { "Authorization": `Bearer ${API_KEY}` }, }); const data = await response.json(); return { content: [{ type: "text", text: JSON.stringify(data, null, 2) }], }; } ); // Tool: Create Resource server.tool( "create_resource", "Create a new resource in Airbnb Listing", { name: z.string().describe("Resource name"), config: z.object({}).passthrough().optional().describe("Resource configuration"), }, async ({ name, config }) => { const response = await fetch(`${BASE_URL}listings management`, { method: "POST", headers: { "Authorization": `Bearer ${API_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ name, ...config }), }); const data = await response.json(); return { content: [{ type: "text", text: `Created: ${JSON.stringify(data)}` }], }; } ); // Tool: Analyze/Report server.tool( "analyze", "AI-powered analysis of Airbnb Listing data", { type: z.string().describe("Analysis type"), timeframe: z.string().optional().describe("Time range for analysis"), }, async ({ type, timeframe }) => { // Fetch data and provide AI analysis const response = await fetch(`${BASE_URL}listings management`, { headers: { "Authorization": `Bearer ${API_KEY}` }, }); const data = await response.json(); return { content: [{ type: "text", text: JSON.stringify(data, null, 2) }], }; } ); // Start server const transport = new StdioServerTransport(); await server.connect(transport); ``` ### Claude Desktop Configuration ```json { "mcpServers": { "airbnb-listing-mcp-connector": { "command": "node", "args": ["path/to/airbnb-listing-mcp-connector/index.js"], "env": { "AIRBNB_LISTING_API_KEY": "your-api-key", "AIRBNB_LISTING_BASE_URL": "https://your-instance-url" } } } } ``` ## Best Practices 1. **Authentication**: Store API keys securely using environment variables; never hardcode credentials 2. **Rate Limiting**: Implement request throttling to respect Airbnb Listing API rate limits 3. **Error Handling**: Provide clear, actionable error messages for common failure scenarios 4. **Pagination**: Handle paginated responses for large datasets efficiently 5. **Caching**: Cache frequently accessed read-only data to reduce API calls 6. **Security**: Validate all inputs before passing to the Airbnb Listing API; sanitize outputs 7. **Logging**: Log all API interactions for debugging and audit purposes ## Example Prompts > "Optimize this property listing with compelling descriptions, suggest competitive pricing, and draft welcome messages" ## Security Considerations - All API credentials must be stored as environment variables - Implement input validation and sanitization for all tool parameters - Use HTTPS for all API communications - Follow the principle of least privilege for API token permissions - Audit log all write operations for compliance tracking ## Resources - Airbnb Listing Official Documentation - MCP SDK Documentation: https://modelcontextprotocol.io - MCP Server Examples: https://github.com/modelcontextprotocol/servers - SkillGalaxy Repository: https://github.com/Sandeeprdy1729/skill_galaxy ## Changelog | Version | Date | Changes | |---------|------|---------| | 1.0.0 | 2026-04-01 | Initial MCP connector skill | --- *Part of SkillGalaxy - 10,000+ comprehensive skills for AI-assisted development.*
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