Smart Search MCP

Instructions

Implementation Reference

• mcp_server_node.js:238-249 (schema)

  Defines the tool metadata, description, and input schema (query required, product optional) for ai_search_tencent_docs.
  { name: 'ai_search_tencent_docs', description: '☁️ 腾讯云文档搜索 - 搜索腾讯云产品文档和API\n\n【重要】此工具会返回腾讯云文档搜索URL，Claude Code应该使用WebFetch工具访问该URL以获取真实搜索结果。', inputSchema: { type: 'object', properties: { query: { type: 'string', description: '搜索关键词' }, product: { type: 'string', description: '产品名称（如：cvm、cos、cdn等）' } }, required: ['query'] } }
• mcp_server_node.js:252-254 (registration)

  Registers the ai_search_tencent_docs tool (as part of AI_TOOLS array) for listing via ListToolsRequestSchema.
  server.setRequestHandler(ListToolsRequestSchema, async () => ({ tools: AI_TOOLS, }));
• mcp_server_node.js:824-940 (handler)

  Shared handler logic for ai_search_tencent_docs (and similar domestic search tools). Normalizes query, constructs Tencent Cloud document search URL, generates detailed response with platform info, saves results, and instructs to use WebFetch for actual content.
  case 'ai_search_csdn': case 'ai_search_juejin': case 'ai_search_segmentfault': case 'ai_search_cnblogs': case 'ai_search_oschina': case 'ai_search_aliyun_docs': case 'ai_search_tencent_docs': { const rawQuery = normalizeString(args.query); if (!rawQuery) { throw new Error('搜索关键词不能为空'); } const searchUrls = { ai_search_csdn: `https://so.csdn.net/so/search?q=${encodeURIComponent(rawQuery)}`, ai_search_juejin: `https://juejin.cn/search?query=${encodeURIComponent(rawQuery)}`, ai_search_segmentfault: `https://segmentfault.com/search?q=${encodeURIComponent(rawQuery)}`, ai_search_cnblogs: `https://zzk.cnblogs.com/s?w=${encodeURIComponent(rawQuery)}`, ai_search_oschina: `https://www.oschina.net/search?scope=all&q=${encodeURIComponent(rawQuery)}`, ai_search_aliyun_docs: `https://help.aliyun.com/search?spm=a2c4g.11186623.0.0&k=${encodeURIComponent(rawQuery)}`, ai_search_tencent_docs: `https://cloud.tencent.com/search?s=doc&keyword=${encodeURIComponent(rawQuery)}` }; const platformInfo = { ai_search_csdn: { name: 'CSDN', icon: '📝', description: '中国最大的IT社区和服务平台', tips: ['博客文章', '技术问答', '代码片段', '下载资源'], homepage: 'https://www.csdn.net/', toolKey: 'csdn-search' }, ai_search_juejin: { name: '掘金', icon: '💎', description: '面向开发者的技术内容分享平台', tips: ['前端开发', '后端开发', 'Android', 'iOS', '人工智能'], homepage: 'https://juejin.cn/', toolKey: 'juejin-search' }, ai_search_segmentfault: { name: 'SegmentFault', icon: '🔧', description: '中文技术问答社区', tips: ['技术问答', '技术文章', '活动沙龙', '编程挑战'], homepage: 'https://segmentfault.com/', toolKey: 'sf-search' }, ai_search_cnblogs: { name: '博客园', icon: '📚', description: '开发者的网上家园', tips: ['.NET', 'C#', 'Java', 'Python', '数据库'], homepage: 'https://www.cnblogs.com/', toolKey: 'cnblogs-search' }, ai_search_oschina: { name: '开源中国', icon: '🌐', description: '中国最大的开源技术社区', tips: ['开源项目', '技术资讯', '代码托管', '协作翻译'], homepage: 'https://www.oschina.net/', toolKey: 'oschina-search' }, ai_search_aliyun_docs: { name: '阿里云文档', icon: '☁️', description: '阿里云产品文档中心', tips: ['ECS', 'OSS', 'RDS', 'SLB', '容器服务'], homepage: 'https://help.aliyun.com/', toolKey: 'aliyun-docs' }, ai_search_tencent_docs: { name: '腾讯云文档', icon: '☁️', description: '腾讯云产品文档中心', tips: ['CVM', 'COS', 'CDN', 'SCF', '数据库'], homepage: 'https://cloud.tencent.com/document/product', toolKey: 'tencent-docs' } }; const info = platformInfo[name]; const searchUrl = searchUrls[name]; const detailsContent = `${info.icon} ${info.name} 搜索\n\n` + `**搜索关键词**: ${rawQuery}\n` + `**平台介绍**: ${info.description}\n\n` + `---\n\n` + `🔗 **搜索链接**: ${searchUrl}\n\n` + `⚠️ **请使用 WebFetch 工具获取搜索结果**:\n` + `\`\`\`javascript\n` + `WebFetch({\n` + ` url: "${searchUrl}",\n` + ` prompt: "提取前10条搜索结果（标题、作者、发布时间、摘要、链接）"\n` + `})\n` + `\`\`\`\n\n` + `---\n\n` + `💡 **${info.name} 热门主题**:\n` + info.tips.map(tip => `• ${tip}`).join(' | ') + `\n\n🏠 **平台首页**: ${info.homepage}\n\n` + `📌 **搜索建议**:\n` + `• 使用精确关键词获得更好的结果\n` + `• 结合多个平台搜索可获得更全面的信息\n` + `• 关注文章的发布时间，优先查看最新内容`; const filepath = await saveSearchResult(info.toolKey, rawQuery, detailsContent); return makeTextResponse( `${info.icon} **${info.name}搜索**\n\n` + `**关键词**: ${rawQuery}\n` + `**搜索链接**: ${searchUrl}\n\n` + `✅ 详细信息已保存至: ${filepath || '保存失败'}\n` + `💡 使用 WebFetch 工具访问搜索链接获取结果` ); }
• mcp_server_node.js:896-903 (helper)

  Helper configuration object providing metadata (name, icon, description, tips, homepage) specific to the Tencent Cloud docs tool, used in the handler.
  ai_search_tencent_docs: { name: '腾讯云文档', icon: '☁️', description: '腾讯云产品文档中心', tips: ['CVM', 'COS', 'CDN', 'SCF', '数据库'], homepage: 'https://cloud.tencent.com/document/product', toolKey: 'tencent-docs' }