\n| ts-node\/typescript<\/td>\n | TypeScript \u8fd0\u884c\/\u7f16\u8bd1\u5de5\u5177<\/td>\n | \u5c06 TS \u4ee3\u7801\u7f16\u8bd1\u4e3a Node.js \u53ef\u6267\u884c\u7684 JS \u4ee3\u7801，\u652f\u6301\u5f00\u53d1\u65f6\u70ed\u8fd0\u884c<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n4. MCP \u5ba2\u6237\u7aef：Claude Desktop<\/h4>\nMCP \u5ba2\u6237\u7aef\u662f\u8c03\u7528 MCP \u670d\u52a1\u5668\u5de5\u5177\u7684\u7ec8\u7aef\u8f7d\u4f53，\u5e02\u9762\u4e0a\u6709\u591a\u79cd\u5ba2\u6237\u7aef\u53ef\u9009，\u672c\u6587\u9009\u62e9 Claude Desktop \u6838\u5fc3\u539f\u56e0：<\/p>\n \n- \n
\u5f00\u7bb1\u5373\u7528，\u65e0\u9700\u989d\u5916\u5f00\u53d1\u5ba2\u6237\u7aef\u754c\u9762；<\/p>\n<\/li>\n - \n
\u5185\u7f6e LLM \u610f\u56fe\u89e3\u6790\u80fd\u529b，\u53ef\u81ea\u52a8\u4e32\u8054\u591a\u4e2a MCP \u5de5\u5177（\u5148\u68c0\u7d22\u518d\u603b\u7ed3）；<\/p>\n<\/li>\n - \n
\u652f\u6301\u81ea\u7136\u8bed\u8a00\u4ea4\u4e92，\u7528\u6237\u76f4\u63a5\u63d0\u95ee\u5373\u53ef\u89e6\u53d1 MCP \u5de5\u5177\u8c03\u7528；<\/p>\n<\/li>\n - \n
\u652f\u6301\u5de5\u5177\u8c03\u7528\u6743\u9650\u6388\u6743，\u4fdd\u8bc1\u672c\u5730\u670d\u52a1\u5b89\u5168\u3002<\/p>\n<\/li>\n<\/ul>\n \u4e09\u3001\u5148\u4fee\u6761\u4ef6<\/h3>\n\u642d\u5efa\u524d\u9700\u51c6\u5907\u597d\u4ee5\u4e0b\u73af\u5883\u4e0e\u5bc6\u94a5，\u7f3a\u4e00\u4e0d\u53ef：<\/p>\n - \n
Node.js 20 \u53ca\u4ee5\u4e0a\u7248\u672c（\u4fdd\u8bc1 MCP SDK \u4e0e ES \u5ba2\u6237\u7aef\u517c\u5bb9）；<\/p>\n<\/li>\n - \n
\u53ef\u7528\u7684 Elasticsearch \u670d\u52a1（\u672c\u5730\/Elastic Cloud \u5747\u53ef）；<\/p>\n<\/li>\n - \n
OpenAI API \u5bc6\u94a5（\u7528\u4e8e\u8c03\u7528 gpt-4o-mini \u751f\u6210\u6458\u8981）；<\/p>\n<\/li>\n - \n
Claude Desktop \u5ba2\u6237\u7aef（MCP \u4ea4\u4e92\u754c\u9762）\u3002<\/p>\n<\/li>\n \u56db\u3001\u5168\u6d41\u7a0b\u5b9e\u73b0：\u4ece\u9879\u76ee\u521d\u59cb\u5316\u5230\u670d\u52a1\u4e0a\u7ebf<\/h3>\n\u7b2c\u4e00\u6b65：\u521d\u59cb\u5316 Node.js \u9879\u76ee\u5e76\u5b89\u88c5\u4f9d\u8d56<\/h4>\n\u9996\u5148\u521b\u5efa\u7a7a\u9879\u76ee，\u521d\u59cb\u5316 package.json \u7ba1\u7406\u4f9d\u8d56：<\/p>\n npm init -y<\/p>\n \u518d\u5b89\u88c5\u6838\u5fc3\u4f9d\u8d56\u4e0e\u5f00\u53d1\u4f9d\u8d56：<\/p>\n npm install @elastic\/elasticsearch @modelcontextprotocol\/sdk openai zod && npm install –save-dev ts-node @types\/node typescript<\/p>\n \u4f9d\u8d56\u4f5c\u7528\u8865\u5145：<\/p>\n \n- \n
@elastic\/elasticsearch：\u63d0\u4f9b ES \u8fde\u63a5\u3001\u67e5\u8be2\u3001\u6570\u636e\u8bfb\u5199\u80fd\u529b；<\/p>\n<\/li>\n - \n
@modelcontextprotocol\/sdk：MCP \u670d\u52a1\u5668\u7684\u6838\u5fc3\u9aa8\u67b6，\u8d1f\u8d23\u5de5\u5177\u6ce8\u518c\u3001\u5ba2\u6237\u7aef\u901a\u4fe1；<\/p>\n<\/li>\n - \n
openai：\u5bf9\u63a5 OpenAI \u5927\u6a21\u578b，\u5b9e\u73b0 RAG \u4e2d\u7684\u300c\u751f\u6210\u300d\u73af\u8282；<\/p>\n<\/li>\n - \n
zod：\u5b9a\u4e49\u5de5\u5177\u5165\u53c2\/\u51fa\u53c2\u7684\u7ed3\u6784\u5316\u6a21\u5f0f，\u8fd0\u884c\u65f6\u6821\u9a8c\u6570\u636e，\u907f\u514d\u975e\u6cd5\u53c2\u6570\u5bfc\u81f4\u670d\u52a1\u5d29\u6e83；<\/p>\n<\/li>\n - \n
ts-node\/@types\/node\/typescript：TS \u4ee3\u7801\u7684\u8fd0\u884c\u3001\u7c7b\u578b\u5b9a\u4e49\u3001\u7f16\u8bd1\u5de5\u5177，\u4fdd\u8bc1 TypeScript \u53ef\u5728 Node \u73af\u5883\u6267\u884c\u3002<\/p>\n<\/li>\n<\/ul>\n \u7b2c\u4e8c\u6b65：\u51c6\u5907 Elasticsearch \u77e5\u8bc6\u5e93\u6570\u636e\u96c6<\/h4>\n\u4e3a\u4e86\u8ba9 MCP \u670d\u52a1\u5668\u6709\u53ef\u68c0\u7d22\u7684\u6570\u636e，\u9700\u6784\u5efa\u6a21\u62df\u4f01\u4e1a\u5185\u90e8\u6280\u672f\u77e5\u8bc6\u5e93，\u6587\u6863\u683c\u5f0f\u7edf\u4e00\u5982\u4e0b：<\/p>\n {
\n "id": 5,
\n "title": "Logging Standards for Microservices",
\n "content": "Consistent logging across microservices helps with debugging and tracing. Use structured JSON logs and include request IDs and timestamps. Avoid logging sensitive information. Centralize logs in Elasticsearch or a similar system. Configure log rotation to prevent storage issues and ensure logs are searchable for at least 30 days.",
\n "tags": ["logging", "microservices", "standards"]
\n}<\/p>\n \u8865\u5145\u5b9e\u73b0\u7ec6\u8282：\u9700\u7f16\u5199\u811a\u672c\u5b8c\u6210Elasticsearch \u7d22\u5f15\u521b\u5efa + \u6279\u91cf\u6570\u636e\u5bfc\u5165，\u6838\u5fc3\u903b\u8f91\u4e3a：<\/p>\n - \n
\u8fde\u63a5 ES \u670d\u52a1，\u521b\u5efa\u540d\u4e3a documents \u7684\u7d22\u5f15（\u8bbe\u7f6e\u5b57\u6bb5\u6620\u5c04：title\/text\u3001content\/text\u3001tags\/keyword）；<\/p>\n<\/li>\n - \n
\u8bfb\u53d6\u672c\u5730\u77e5\u8bc6\u5e93 JSON \u6570\u636e，\u901a\u8fc7 ES bulk API \u6279\u91cf\u5bfc\u5165\u6587\u6863；<\/p>\n<\/li>\n - \n
\u6821\u9a8c\u7d22\u5f15\u6570\u636e\u662f\u5426\u5199\u5165\u6210\u529f，\u4fdd\u8bc1\u68c0\u7d22\u53ef\u7528\u3002<\/p>\n<\/li>\n \u7b2c\u4e09\u6b65：\u7f16\u5199 TypeScript MCP \u670d\u52a1\u5668\u6838\u5fc3\u4ee3\u7801<\/h4>\n\u521b\u5efa\u9879\u76ee\u5165\u53e3\u6587\u4ef6 index.ts，\u9010\u6a21\u5757\u5b9e\u73b0\u903b\u8f91，\u6bcf\u6bb5\u4ee3\u7801\u5747\u9644\u5e26\u539f\u7406\u89e3\u6790：<\/p>\n 1. \u5bfc\u5165\u4f9d\u8d56\u4e0e\u73af\u5883\u53d8\u91cf\u914d\u7f6e<\/h5>\n\/\/ index.ts
\nimport { z } from "zod";
\nimport { Client } from "@elastic\/elasticsearch";
\nimport { McpServer } from "@modelcontextprotocol\/sdk\/server\/mcp.js";
\nimport { StdioServerTransport } from "@modelcontextprotocol\/sdk\/server\/stdio.js";
\nimport OpenAI from "openai";<\/p>\n \/\/ \u73af\u5883\u53d8\u91cf\u914d\u7f6e：\u652f\u6301\u4ece\u7cfb\u7edf\u73af\u5883\u53d8\u91cf\u8bfb\u53d6，\u672c\u5730\u5f00\u53d1\u9ed8\u8ba4\u672c\u5730 ES \u5730\u5740
\nconst ELASTICSEARCH_ENDPOINT = process.env.ELASTICSEARCH_ENDPOINT ?? "http:\/\/localhost:9200";
\nconst ELASTICSEARCH_API_KEY = process.env.ELASTICSEARCH_API_KEY ?? "";
\nconst OPENAI_API_KEY = process.env.OPENAI_API_KEY ?? "";
\nconst INDEX = "documents"; \/\/ \u56fa\u5b9a\u68c0\u7d22\u7684 ES \u7d22\u5f15\u540d<\/p>\n \u8bf4\u660e：\u901a\u8fc7\u73af\u5883\u53d8\u91cf\u89e3\u8026\u914d\u7f6e，\u907f\u514d\u5bc6\u94a5\u786c\u7f16\u7801；\u9ed8\u8ba4\u672c\u5730 ES \u5730\u5740\u9002\u914d\u5f00\u53d1\u73af\u5883，\u751f\u4ea7\u73af\u5883\u53ef\u901a\u8fc7\u73af\u5883\u53d8\u91cf\u6ce8\u5165\u4e91\u670d\u52a1\u5730\u5740\u3002<\/p>\n 2. \u521d\u59cb\u5316 ES \u4e0e OpenAI \u5ba2\u6237\u7aef<\/h5>\n\/\/ \u521d\u59cb\u5316 OpenAI \u5ba2\u6237\u7aef
\nconst openai = new OpenAI({
\n apiKey: OPENAI_API_KEY,
\n});<\/p>\n \/\/ \u521d\u59cb\u5316 Elasticsearch \u5ba2\u6237\u7aef
\nconst _client = new Client({
\n node: ELASTICSEARCH_ENDPOINT,
\n auth: {
\n apiKey: ELASTICSEARCH_API_KEY, \/\/ \u4e91 ES \u7528 API Key，\u672c\u5730\u53ef\u7701\u7565
\n },
\n});<\/p>\n \u8bf4\u660e：ES \u5ba2\u6237\u7aef\u57fa\u4e8e HTTP\/HTTPS \u4e0e ES \u96c6\u7fa4\u901a\u4fe1，\u652f\u6301 API Key \u8ba4\u8bc1（Elastic Cloud \u5f3a\u5236\u8981\u6c42）；OpenAI \u5ba2\u6237\u7aef\u901a\u8fc7 API Key \u9274\u6743，\u8c03\u7528\u6a21\u578b\u63a5\u53e3\u3002<\/p>\n 3. Zod \u7ed3\u6784\u5316\u6a21\u5f0f\u5b9a\u4e49（\u6838\u5fc3：\u8fd0\u884c\u65f6\u7c7b\u578b\u5b89\u5168）<\/h5>\n\/\/ \u539f\u59cb\u6587\u6863\u7ed3\u6784\u6821\u9a8c
\nconst DocumentSchema = z.object({
\n id: z.number(),
\n title: z.string(),
\n content: z.string(),
\n tags: z.array(z.string()),
\n});<\/p>\n \/\/ \u68c0\u7d22\u7ed3\u679c\u7ed3\u6784（\u65b0\u589e\u76f8\u5173\u6027\u5f97\u5206）
\nconst SearchResultSchema = z.object({
\n id: z.number(),
\n title: z.string(),
\n content: z.string(),
\n tags: z.array(z.string()),
\n score: z.number(),
\n});<\/p>\n \/\/ TypeScript \u7c7b\u578b\u63a8\u5bfc：Zod Schema \u81ea\u52a8\u751f\u6210 TS \u7c7b\u578b
\ntype Document = z.infer<typeof DocumentSchema>;
\ntype SearchResult = z.infer<typeof SearchResultSchema>;<\/p>\n \u8865\u5145：TypeScript \u4ec5\u505a\u7f16\u8bd1\u671f\u7c7b\u578b\u6821\u9a8c，\u8fd0\u884c\u65f6\u65e0\u6cd5\u6821\u9a8c\u63a5\u53e3\u8fd4\u56de\/\u7528\u6237\u8f93\u5165\u6570\u636e；Zod \u5b9e\u73b0\u8fd0\u884c\u65f6\u5f3a\u6821\u9a8c，\u540c\u65f6\u81ea\u52a8\u63a8\u5bfc TS \u7c7b\u578b，\u517c\u987e\u7c7b\u578b\u5b89\u5168\u4e0e\u8fd0\u884c\u65f6\u7a33\u5b9a\u6027，\u662f MCP \u5de5\u5177\u7ed3\u6784\u5316\u4ea4\u4e92\u7684\u6838\u5fc3\u3002<\/p>\n 4. \u521d\u59cb\u5316 MCP \u670d\u52a1\u5668<\/h5>\nconst server = new McpServer({
\n name: "Elasticsearch RAG MCP",
\n description: "A RAG server using Elasticsearch. Provides tools for document search, result summarization, and source citation.",
\n version: "1.0.0",
\n});<\/p>\n \u8bf4\u660e：McpServer \u662f MCP SDK \u7684\u6838\u5fc3\u5b9e\u4f8b，\u5b9a\u4e49\u670d\u52a1\u5668\u7684\u57fa\u7840\u4fe1\u606f（\u540d\u79f0\u3001\u63cf\u8ff0\u3001\u7248\u672c），\u7528\u4e8e\u5ba2\u6237\u7aef\u53d1\u73b0\u4e0e\u8bc6\u522b\u670d\u52a1\u3002<\/p>\n \u7b2c\u56db\u6b65：\u6ce8\u518c MCP \u6838\u5fc3\u5de5\u5177（RAG \u5de5\u4f5c\u6d41\u5b9e\u73b0）<\/h4>\nMCP \u670d\u52a1\u5668\u7684\u6838\u5fc3\u662f\u5bf9\u5916\u66b4\u9732\u5de5\u5177，\u672c\u6587\u5b9e\u73b0\u68c0\u7d22+\u603b\u7ed3\u7684\u5b8c\u6574 RAG \u5de5\u4f5c\u6d41，\u5171\u4e24\u4e2a\u5de5\u5177：<\/p>\n - \n
search_docs：Elasticsearch \u5168\u6587\u68c0\u7d22，\u62c9\u53d6\u76f8\u5173\u6587\u6863；<\/p>\n<\/li>\n - \n
summarize_and_cite：\u57fa\u4e8e\u68c0\u7d22\u7ed3\u679c，\u8c03\u7528 OpenAI \u751f\u6210\u6458\u8981+\u6587\u6863\u5f15\u7528\u3002<\/p>\n<\/li>\n \u5de5\u5177 1：search_docs（Elasticsearch \u68c0\u7d22\u5de5\u5177）<\/h5>\nserver.registerTool(
\n "search_docs",
\n {
\n title: "Search Documents",
\n description: "Search for documents in Elasticsearch using full-text search. Returns the most relevant documents with their content, title, tags, and relevance score.",
\n \/\/ \u5165\u53c2\u6a21\u5f0f：\u67e5\u8be2\u5173\u952e\u8bcd+\u6700\u5927\u8fd4\u56de\u7ed3\u679c\u6570
\n inputSchema: {
\n query: z.string().describe("The search query terms to find relevant documents"),
\n max_results: z.number().optional().default(5).describe("Maximum number of results to return"),
\n },
\n \/\/ \u51fa\u53c2\u6a21\u5f0f：\u68c0\u7d22\u7ed3\u679c\u6570\u7ec4+\u603b\u547d\u4e2d\u6570
\n outputSchema: {
\n results: z.array(SearchResultSchema),
\n total: z.number(),
\n },
\n },
\n \/\/ \u5de5\u5177\u6267\u884c\u903b\u8f91
\n async ({ query, max_results }) => {
\n \/\/ \u5165\u53c2\u6821\u9a8c
\n if (!query) {
\n return {
\n content: [{ type: "text", text: "Query parameter is required" }],
\n isError: true,
\n };
\n }<\/p>\n try {
\n \/\/ Elasticsearch DSL \u590d\u6742\u67e5\u8be2
\n const response = await _client.search({
\n index: INDEX,
\n size: max_results,
\n query: {
\n bool: {
\n \/\/ \u5fc5\u987b\u5339\u914d：\u591a\u5b57\u6bb5\u6a21\u7cca\u68c0\u7d22
\n must: [
\n {
\n multi_match: {
\n query: query,
\n fields: ["title^2", "content", "tags"], \/\/ title \u6743\u91cd\u63d0\u5347 2 \u500d
\n fuzziness: "AUTO", \/\/ \u81ea\u52a8\u5bb9\u9519\u62fc\u5199\u9519\u8bef
\n },
\n },
\n ],
\n \/\/ \u53ef\u9009\u5339\u914d：\u77ed\u8bed\u7cbe\u786e\u5339\u914d，\u989d\u5916\u52a0\u5206
\n should: [
\n {
\n match_phrase: {
\n title: { query: query, boost: 2 },
\n },
\n },
\n ],
\n },
\n },
\n \/\/ \u9ad8\u4eae\u5173\u952e\u8bcd：\u6807\u8bb0\u68c0\u7d22\u547d\u4e2d\u7684\u5b57\u6bb5
\n highlight: { fields: { title: {}, content: {} } },
\n });<\/p>\n \/\/ \u89e3\u6790 ES \u68c0\u7d22\u7ed3\u679c
\n const results: SearchResult[] = response.hits.hits.map((hit: any) => {
\n const source = hit._source as Document;
\n return {
\n id: source.id,
\n title: source.title,
\n content: source.content,
\n tags: source.tags,
\n score: hit._score ?? 0, \/\/ \u76f8\u5173\u6027\u5f97\u5206
\n };
\n });<\/p>\n \/\/ \u683c\u5f0f\u5316\u975e\u7ed3\u6784\u5316\u6587\u672c\u54cd\u5e94（\u4f9b Claude \u5c55\u793a）
\n const contentText = results
\n .map((r, i) => `[${i + 1}] ${r.title} (score: ${r.score.toFixed(2)})\\\\n${r.content.substring(0, 200)}…`)
\n .join("\\\\n\\\\n");<\/p>\n \/\/ \u603b\u547d\u4e2d\u6570\u5904\u7406（\u517c\u5bb9 ES \u4e0d\u540c\u7248\u672c\u8fd4\u56de\u683c\u5f0f）
\n const totalHits = typeof response.hits.total === "number"
\n ? response.hits.total
\n : (response.hits.total?.value ?? 0);<\/p>\n \/\/ \u8fd4\u56de MCP \u6807\u51c6\u54cd\u5e94：content（\u6587\u672c）+ structuredContent（\u7ed3\u6784\u5316\u6570\u636e）
\n return {
\n content: [{ type: "text", text: `Found ${results.length} relevant documents:\\\\n\\\\n${contentText}` }],
\n structuredContent: { results: results, total: totalHits },
\n };
\n } catch (error: any) {
\n console.log("Error during search:", error);
\n return {
\n content: [{ type: "text", text: `Error searching documents: ${error.message}` }],
\n isError: true,
\n };
\n }
\n }
\n);<\/p>\n \u6838\u5fc3\u539f\u7406\u6df1\u5ea6\u89e3\u6790：<\/p>\n - \n
Elasticsearch \u67e5\u8be2 DSL \u8bbe\u8ba1：<\/p>\n \n- \n
bool\/must：\u5f3a\u5236\u591a\u5b57\u6bb5\u5339\u914d，\u8986\u76d6\u6807\u9898\u3001\u5185\u5bb9\u3001\u6807\u7b7e；<\/p>\n<\/li>\n - \n
title^2：\u6743\u91cd\u63d0\u5347，\u6807\u9898\u542b\u5173\u952e\u8bcd\u7684\u6587\u6863\u76f8\u5173\u6027\u5f97\u5206\u7ffb\u500d，\u6392\u5e8f\u66f4\u9760\u524d；<\/p>\n<\/li>\n - \n
fuzziness: "AUTO"：\u81ea\u52a8\u62fc\u5199\u5bb9\u9519，\u77ed\u8bcd\u5141\u8bb81\u4e2a\u5b57\u7b26\u9519\u8bef，\u957f\u8bcd\u5141\u8bb82\u4e2a，\u63d0\u5347\u68c0\u7d22\u5bb9\u9519\u6027；<\/p>\n<\/li>\n - \n
should\/match_phrase：\u77ed\u8bed\u7cbe\u786e\u5339\u914d\u989d\u5916\u52a0\u5206，\u5f3a\u5316\u7cbe\u51c6\u68c0\u7d22\u6548\u679c；<\/p>\n<\/li>\n - \n
highlight：\u9ad8\u4eae\u547d\u4e2d\u5173\u952e\u8bcd，\u4fbf\u4e8e\u5feb\u901f\u5b9a\u4f4d\u6838\u5fc3\u5185\u5bb9\u3002<\/p>\n<\/li>\n<\/ul>\n<\/li>\n - \n
MCP \u54cd\u5e94\u89c4\u8303：\u5fc5\u987b\u8fd4\u56de content（\u975e\u7ed3\u6784\u5316\u6587\u672c，\u4f9b\u5ba2\u6237\u7aef\u5c55\u793a）+ \u53ef\u9009 structuredContent（\u7ed3\u6784\u5316\u6570\u636e，\u4f9b\u7a0b\u5e8f\u4e8c\u6b21\u5904\u7406）\u3002<\/p>\n<\/li>\n \u5de5\u5177 2：summarize_and_cite（\u6458\u8981+\u5f15\u7528\u751f\u6210\u5de5\u5177）<\/h5>\nserver.registerTool(
\n "summarize_and_cite",
\n {
\n title: "Summarize and Cite",
\n description: "Summarize the provided search results to answer a question and return citation metadata for the sources used.",
\n \/\/ \u5165\u53c2：\u68c0\u7d22\u7ed3\u679c+\u7528\u6237\u95ee\u9898+\u6458\u8981\u957f\u5ea6+\u6700\u5927\u53c2\u8003\u6587\u6863\u6570
\n inputSchema: {
\n results: z.array(SearchResultSchema).describe("Array of search results from search_docs"),
\n question: z.string().describe("The question to answer"),
\n max_length: z.number().optional().default(500).describe("Maximum length of the summary in characters"),
\n max_docs: z.number().optional().default(5).describe("Maximum number of documents to include in the context"),
\n },
\n \/\/ \u51fa\u53c2：\u6458\u8981+\u5f15\u7528\u6e90\u6570\u91cf+\u5f15\u7528\u8be6\u60c5
\n outputSchema: {
\n summary: z.string(),
\n sources_used: z.number(),
\n citations: z.array(
\n z.object({
\n id: z.number(),
\n title: z.string(),
\n tags: z.array(z.string()),
\n relevance_score: z.number(),
\n })
\n ),
\n },
\n },
\n async ({ results, question, max_length, max_docs }) => {
\n \/\/ \u5165\u53c2\u6821\u9a8c
\n if (!results || results.length === 0 || !question) {
\n return {
\n content: [{ type: "text", text: "Both results and question parameters are required, and results must not be empty" }],
\n isError: true,
\n };
\n }<\/p>\n try {
\n \/\/ \u622a\u53d6\u524dN\u7bc7\u6587\u6863\u4f5c\u4e3a\u4e0a\u4e0b\u6587
\n const used = results.slice(0, max_docs);
\n \/\/ \u62fc\u63a5\u4e0a\u4e0b\u6587\u6587\u672c：\u683c\u5f0f\u5316\u6587\u6863\u5185\u5bb9\u4f9b LLM \u9605\u8bfb
\n const context = used
\n .map((r: SearchResult, i: number) => `[Document ${i + 1}: ${r.title}]\\\\n${r.content}`)
\n .join("\\\\n\\\\n—\\\\n\\\\n");<\/p>\n \/\/ \u8c03\u7528 OpenAI gpt-4o-mini \u751f\u6210\u6458\u8981
\n const completion = await openai.chat.completions.create({
\n model: "gpt-4o-mini",
\n messages: [
\n {
\n role: "system",
\n content: "You are a helpful assistant that answers questions based on provided documents. Synthesize information from the documents to answer the user's question accurately and concisely. If the documents don't contain relevant information, say so.",
\n },
\n { role: "user", content: `Question: ${question}\\\\n\\\\nRelevant Documents:\\\\n${context}` },
\n ],
\n \/\/ Token \u8ba1\u7b97：\u4e2d\u6587\u5b57\u7b26\u22481token=4\u5b57\u7b26，\u6700\u5927\u9650\u52361000token\u9632\u6b62\u6ea2\u51fa
\n max_tokens: Math.min(Math.ceil(max_length \/ 4), 1000),
\n temperature: 0.3, \/\/ \u4f4e\u6e29\u5ea6，\u51cf\u5c11\u751f\u6210\u968f\u673a\u6027，\u4fdd\u8bc1\u7b54\u6848\u7cbe\u51c6
\n });<\/p>\n \/\/ \u89e3\u6790 LLM \u8fd4\u56de\u7684\u6458\u8981
\n const summaryText = completion.choices[0]?.message?.content ?? "No summary generated.";
\n \/\/ \u751f\u6210\u5f15\u7528\u5143\u6570\u636e
\n const citations = used.map((r: SearchResult) => ({
\n id: r.id,
\n title: r.title,
\n tags: r.tags,
\n relevance_score: r.score,
\n }));<\/p>\n \/\/ \u683c\u5f0f\u5316\u6700\u7ec8\u54cd\u5e94\u6587\u672c
\n const citationText = citations
\n .map((c: any, i: number) => `[${i + 1}] ID: ${c.id}, Title: "${c.title}", Tags: ${c.tags.join(", ")}, Score: ${c.relevance_score.toFixed(2)}`)
\n .join("\\\\n");
\n const combinedText = `Summary:\\\\n\\\\n${summaryText}\\\\n\\\\nSources used (${citations.length}):\\\\n\\\\n${citationText}`;<\/p>\n \/\/ \u8fd4\u56de MCP \u6807\u51c6\u54cd\u5e94
\n return {
\n content: [{ type: "text", text: combinedText }],
\n structuredContent: { summary: summaryText, sources_used: citations.length, citations: citations },
\n };
\n } catch (error: any) {
\n return {
\n content: [{ type: "text", text: `Error generating summary and citations: ${error.message}` }],
\n isError: true,
\n };
\n }
\n }
\n);<\/p>\n \u6838\u5fc3\u539f\u7406\u6df1\u5ea6\u89e3\u6790：<\/p>\n - \n
RAG \u4e0a\u4e0b\u6587\u62fc\u63a5：\u5c06\u68c0\u7d22\u5230\u7684\u6587\u6863\u683c\u5f0f\u5316\u7f16\u53f7，\u8ba9 LLM \u6e05\u6670\u533a\u5206\u4e0d\u540c\u6765\u6e90，\u907f\u514d\u5185\u5bb9\u6df7\u6dc6；<\/p>\n<\/li>\n - \n
OpenAI \u8c03\u7528\u53c2\u6570\u8bbe\u8ba1：<\/p>\n \n- \n
temperature: 0.3：\u964d\u4f4e\u751f\u6210\u968f\u673a\u6027，\u4fdd\u8bc1\u6458\u8981\u4e25\u683c\u57fa\u4e8e\u68c0\u7d22\u6587\u6863，\u51cf\u5c11\u5e7b\u89c9；<\/p>\n<\/li>\n - \n
max_tokens：\u6309\u5b57\u7b26\u6570\u6362\u7b97 token，\u63a7\u5236\u6458\u8981\u957f\u5ea6，\u540c\u65f6\u8bbe\u7f6e\u4e0a\u9650\u9632\u6b62\u63a5\u53e3\u62a5\u9519；<\/p>\n<\/li>\n<\/ul>\n<\/li>\n - \n
\u5f15\u7528\u6eaf\u6e90：\u63d0\u53d6\u68c0\u7d22\u7ed3\u679c\u7684\u5143\u6570\u636e（ID\u3001\u6807\u9898\u3001\u6807\u7b7e\u3001\u5f97\u5206），\u5b9e\u73b0\u7b54\u6848\u53ef\u8ffd\u6eaf，\u6ee1\u8db3\u4f01\u4e1a\u77e5\u8bc6\u5e93\u7684\u5408\u89c4\u6027\u8981\u6c42\u3002<\/p>\n<\/li>\n 5. \u542f\u52a8 MCP \u670d\u52a1\u5668（Stdio \u4f20\u8f93）<\/h5>\n\/\/ \u521b\u5efa Stdio \u4f20\u8f93\u5b9e\u4f8b：\u6807\u51c6\u8f93\u5165\u8f93\u51fa\u6d41\u901a\u4fe1
\nconst transport = new StdioServerTransport();
\n\/\/ \u670d\u52a1\u5668\u8fde\u63a5\u4f20\u8f93\u5c42，\u5f00\u59cb\u76d1\u542c\u5ba2\u6237\u7aef\u8c03\u7528
\nserver.connect(transport);<\/p>\n \u8bf4\u660e：StdioServerTransport \u662f MCP \u6700\u8f7b\u91cf\u5316\u7684\u4f20\u8f93\u65b9\u5f0f，Claude Desktop \u4f5c\u4e3a\u7236\u8fdb\u7a0b，\u901a\u8fc7\u6807\u51c6\u8f93\u5165（stdin）\u53d1\u9001\u8c03\u7528\u6307\u4ee4，\u670d\u52a1\u5668\u901a\u8fc7\u6807\u51c6\u8f93\u51fa（stdout）\u8fd4\u56de\u7ed3\u679c，\u65e0\u9700\u5360\u7528\u7f51\u7edc\u7aef\u53e3，\u672c\u5730\u90e8\u7f72\u5b89\u5168\u9ad8\u6548\u3002<\/p>\n \u7b2c\u4e94\u6b65：\u7f16\u8bd1 TypeScript \u4ee3\u7801<\/h4>\n\u5c06 TS \u4ee3\u7801\u7f16\u8bd1\u4e3a Node.js \u53ef\u6267\u884c\u7684 JS \u4ee3\u7801，\u6267\u884c\u7f16\u8bd1\u547d\u4ee4：<\/p>\n npx tsc index.ts –target ES2022 –module node16 –moduleResolution node16 –outDir .\/dist –strict –esModuleInterop<\/p>\n \u7f16\u8bd1\u53c2\u6570\u89e3\u6790：<\/p>\n \n- \n
–target ES2022：\u7f16\u8bd1\u4e3a ES2022 \u8bed\u6cd5，\u517c\u5bb9 Node.js 20+；<\/p>\n<\/li>\n - \n
–module node16：\u9002\u914d Node.js \u6a21\u5757\u5316\u89c4\u8303；<\/p>\n<\/li>\n - \n
–outDir .\/dist：\u8f93\u51fa\u7f16\u8bd1\u540e\u7684 JS \u6587\u4ef6\u5230 dist \u76ee\u5f55；<\/p>\n<\/li>\n - \n
–strict：\u5f00\u542f TS \u4e25\u683c\u6a21\u5f0f，\u4fdd\u8bc1\u7c7b\u578b\u5b89\u5168；<\/p>\n<\/li>\n - \n
–esModuleInterop：\u517c\u5bb9 CommonJS \u4e0e ES \u6a21\u5757\u3002<\/p>\n<\/li>\n<\/ul>\n \u7f16\u8bd1\u5b8c\u6210\u540e，dist\/index.js \u5373\u4e3a MCP \u670d\u52a1\u5668\u7684\u53ef\u6267\u884c\u6587\u4ef6\u3002<\/p>\n \u7b2c\u516d\u6b65：\u96c6\u6210 MCP \u670d\u52a1\u5668\u5230 Claude Desktop<\/h4>\nClaude Desktop \u901a\u8fc7\u914d\u7f6e\u6587\u4ef6\u52a0\u8f7d\u672c\u5730 MCP \u670d\u52a1\u5668，\u9700\u5728\u914d\u7f6e\u6587\u4ef6\u4e2d\u6dfb\u52a0\u4ee5\u4e0b\u5185\u5bb9：<\/p>\n {
\n "mcpServers": {
\n "elasticsearch-rag-mcp": {
\n "command": "node",
\n "args": ["\/Users\/user-name\/app-dir\/dist\/index.js"], \/\/ \u7f16\u8bd1\u540e JS \u6587\u4ef6\u7684\u7edd\u5bf9\u8def\u5f84
\n "env": {
\n "ELASTICSEARCH_ENDPOINT": "your-endpoint-here", \/\/ ES \u670d\u52a1\u5730\u5740
\n "ELASTICSEARCH_API_KEY": "your-api-key-here", \/\/ ES \u8ba4\u8bc1\u5bc6\u94a5
\n "OPENAI_API_KEY": "your-openai-key-here" \/\/ OpenAI \u5bc6\u94a5
\n }
\n }
\n }
\n}<\/p>\n \u8865\u5145\u7ec6\u8282：<\/p>\n \n- \n
\u914d\u7f6e\u6587\u4ef6\u8def\u5f84：macOS \u4e3a ~\/.claude\/config.json，Windows \u4e3a %APPDATA%\/Claude\/config.json；<\/p>\n<\/li>\n - \n
\u73af\u5883\u53d8\u91cf\u9700\u4e0e\u4ee3\u7801\u4e2d\u5b9a\u4e49\u7684\u53d8\u91cf\u540d\u5b8c\u5168\u4e00\u81f4，\u4fdd\u8bc1\u670d\u52a1\u80fd\u8bfb\u53d6\u5bc6\u94a5\u4e0e\u5730\u5740；<\/p>\n<\/li>\n - \n
args \u5fc5\u987b\u4e3a\u7edd\u5bf9\u8def\u5f84，\u907f\u514d Claude \u627e\u4e0d\u5230\u53ef\u6267\u884c\u6587\u4ef6\u3002<\/p>\n<\/li>\n<\/ul>\n \u4e94\u3001\u529f\u80fd\u6d4b\u8bd5：\u9a8c\u8bc1 MCP \u670d\u52a1\u5668\u5168\u6d41\u7a0b<\/h3>\n1. \u542f\u7528 MCP \u5de5\u5177<\/h4>\n\u6253\u5f00 Claude Desktop，\u70b9\u51fb\u300c\u641c\u7d22\u548c\u5de5\u5177\u300d，\u786e\u8ba4 elasticsearch-rag-mcp \u4e0b\u7684\u4e24\u4e2a\u5de5\u5177\u5df2\u542f\u7528，\u53ef\u6309\u9700\u5f00\u542f\/\u5173\u95ed\u3002<\/p>\n 2. \u5355\u5de5\u5177\u6d4b\u8bd5：\u68c0\u7d22\u6587\u6863<\/h4>\n\u76f4\u63a5\u63d0\u95ee：\u641c\u7d22\u5173\u4e8e\u8ba4\u8bc1\u65b9\u6cd5\u548c\u57fa\u4e8e\u89d2\u8272\u8bbf\u95ee\u63a7\u5236\u7684\u6587\u6863<\/p>\n Claude \u4f1a\u81ea\u52a8\u8c03\u7528 search_docs \u5de5\u5177，Elasticsearch \u68c0\u7d22\u540e\u8fd4\u56de 5 \u7bc7\u76f8\u5173\u6587\u6863，\u5c55\u793a\u6807\u9898\u3001\u76f8\u5173\u6027\u5f97\u5206\u3001\u5185\u5bb9\u6458\u8981，\u6548\u679c\u5982\u4e0b：<\/p>\n Most Relevant Documents:
\nAccess Control and Role Management (highest relevance) – This document covers role-based access control (RBAC) principles…
\nUser Authentication with OAuth 2.0 – This document explains OAuth 2.0 authentication…
\n…<\/p>\n 3. \u5de5\u5177\u4e32\u8054\u6d4b\u8bd5：\u68c0\u7d22+\u603b\u7ed3+\u5f15\u7528<\/h4>\n\u63d0\u95ee：\u6539\u8fdb\u6211\u4eec\u7cfb\u7edf\u8ba4\u8bc1\u548c\u8bbf\u95ee\u63a7\u5236\u7684\u4e3b\u8981\u5efa\u8bae\u662f\u4ec0\u4e48？\u8bf7\u9644\u4e0a\u53c2\u8003\u6587\u732e\u3002<\/p>\n \u6838\u5fc3\u903b\u8f91：Claude Desktop \u5185\u7f6e LLM \u81ea\u52a8\u89e3\u6790\u610f\u56fe，\u5148\u8c03\u7528 search_docs \u68c0\u7d22\u6587\u6863，\u518d\u5c06\u7ed3\u679c\u81ea\u52a8\u4f20\u9012\u7ed9 summarize_and_cite \u5de5\u5177，\u6700\u7ec8\u8fd4\u56de\u7cbe\u7b80\u6458\u8981+\u5e26\u6807\u7b7e\u7684\u5f15\u7528\u6765\u6e90，\u793a\u4f8b\u7ed3\u679c：<\/p>\n Based on the documentation, here are the main recommendations to improve authentication and access control across your systems:<\/p>\n Key Recommendations
\n1. Implement Role-Based Access Control (RBAC) [1]
\n2. Regular Access Audits [1]
\n3. Just-in-Time (JIT) Access [1]
\n4. OAuth 2.0 for Secure Authentication [2]
\n5. Token Security and Management [2]<\/p>\n References
\nAccess Control and Role Management (Tags: security, access-control)
\nUser Authentication with OAuth 2.0 (Tags: authentication, oauth)<\/p>\n 4. \u6743\u9650\u6388\u6743<\/h4>\n\u9996\u6b21\u8c03\u7528\u5de5\u5177\u65f6，Claude \u4f1a\u5f39\u51fa\u6388\u6743\u63d0\u793a，\u9009\u62e9\u300c\u59cb\u7ec8\u5141\u8bb8\u300d\u6216\u300c\u5141\u8bb8\u4e00\u6b21\u300d，\u5373\u53ef\u6b63\u5e38\u4f7f\u7528 MCP \u670d\u52a1\u3002<\/p>\n \u516d\u3001\u7ed3\u8bba\u4e0e\u540e\u7eed\u62d3\u5c55<\/h3>\n1. \u6838\u5fc3\u603b\u7ed3<\/h4>\n\u672c\u6587\u5b8c\u6574\u5b9e\u73b0\u4e86\u57fa\u4e8e TypeScript \u7684 Elasticsearch MCP \u670d\u52a1\u5668，\u6253\u901a\u4e86\u300cElasticsearch \u68c0\u7d22 \u2192 OpenAI \u6458\u8981\u751f\u6210 \u2192 Claude Desktop \u4ea4\u4e92\u300d\u7684\u5b8c\u6574 RAG \u94fe\u8def，\u89e3\u51b3\u4e86\u4f01\u4e1a\u77e5\u8bc6\u5e93 LLM \u5e94\u7528\u7684\u68c0\u7d22\u7cbe\u51c6\u6027\u3001\u7b54\u6848\u53ef\u8ffd\u6eaf\u3001\u5de5\u5177\u6807\u51c6\u5316\u4e09\u5927\u6838\u5fc3\u95ee\u9898\u3002<\/p>\n \u76f8\u8f83\u4e8e Elastic \u5b98\u65b9 MCP \u65b9\u6848，\u81ea\u5b9a\u4e49\u670d\u52a1\u5668\u5177\u5907\u5b8c\u6574 DSL \u68c0\u7d22\u3001\u81ea\u5b9a\u4e49\u540e\u5904\u7406\u3001\u7c7b\u578b\u5b89\u5168\u3001\u751f\u6001\u9002\u914d\u7b49\u6838\u5fc3\u4f18\u52bf，\u5b8c\u5168\u9002\u914d\u4f01\u4e1a\u5185\u90e8\u77e5\u8bc6\u5e93\u7684\u4e2a\u6027\u5316\u9700\u6c42\u3002<\/p>\n 2. \u540e\u7eed\u62d3\u5c55\u65b9\u5411<\/h4>\n\n- \n
\u4e3a MCP \u670d\u52a1\u5668\u6dfb\u52a0\u641c\u7d22\u6a21\u677f，\u53c2\u6570\u5316\u67e5\u8be2\u63d0\u5347\u68c0\u7d22\u51c6\u786e\u6027\u4e0e\u7075\u6d3b\u6027；<\/p>\n<\/li>\n - \n
\u6269\u5c55\u66f4\u591a MCP \u5de5\u5177：\u5982\u6587\u6863\u65b0\u589e\u3001\u7d22\u5f15\u7ba1\u7406\u3001\u6743\u9650\u8fc7\u6ee4\u7b49；<\/p>\n<\/li>\n - \n
\u9002\u914d\u5176\u4ed6 MCP \u5ba2\u6237\u7aef（\u5982 VS Code\u3001Web \u5ba2\u6237\u7aef）；<\/p>\n<\/li>\n - \n
\u4f18\u5316 LLM \u63d0\u793a\u8bcd\u5de5\u7a0b，\u63d0\u5347\u6458\u8981\u8d28\u91cf\u4e0e\u5f15\u7528\u7cbe\u51c6\u5ea6；<\/p>\n<\/li>\n - \n
\u6dfb\u52a0\u65e5\u5fd7\u3001\u76d1\u63a7\u3001\u5f02\u5e38\u544a\u8b66，\u5b8c\u5584\u751f\u4ea7\u7ea7\u670d\u52a1\u80fd\u529b\u3002<\/p>\n<\/li>\n<\/ul>\n MCP \u4f5c\u4e3a LLM \u5916\u90e8\u5de5\u5177\u6807\u51c6\u5316\u7684\u6838\u5fc3\u534f\u8bae，\u672a\u6765\u517c\u5bb9\u6027\u4e0e\u751f\u6001\u4f1a\u6301\u7eed\u5b8c\u5584，\u81ea\u5b9a\u4e49 MCP \u670d\u52a1\u5668\u6216\u5c06\u6210\u4e3a LLM \u5bf9\u63a5\u4f01\u4e1a\u5185\u90e8\u7cfb\u7edf\u7684\u4e3b\u6d41\u65b9\u6848\u3002<\/p>\n","protected":false},"excerpt":{"rendered":" \u4ece\u4e1a\u52a1\u80cc\u666f\u3001\u6838\u5fc3\u534f\u8bae\u539f\u7406\u3001\u4ee3\u7801\u5b9e\u73b0\u3001\u96c6\u6210\u6d4b\u8bd5\u5168\u7ef4\u5ea6\u8bb2\u89e3\u5982\u4f55\u7528 TypeScript \u642d\u5efa Elasticsearch MCP \u670d\u52a1\u5668，\u5b9e\u73b0 LLM \u4e0e Elasticsearch \u77e5\u8bc6\u5e93\u7684\u6807\u51c6\u5316\u8054\u52a8\u3002
\n\u4e00\u3001\u4e1a\u52a1\u80cc\u666f：ElasticsearchLLM \u7684\u75db\u70b9\u4e0e MCP \u7684\u4ef7\u503c
\n\u5728\u5904\u7406\u8d85\u5927\u578b\u4f01\u4e1a\u5185\u90e8\u77e5\u8bc6\u5e93（\u5982\u6280\u672f\u6587\u6863\u3001\u8fd0\u7ef4\u89c4\u8303\u3001\u7814\u53d1\u6807\u51c6）\u65f6，Elasticsearch \u51ed\u501f\u5f3a\u5927\u7684\u5168\u6587\u68c0\u7d22\u80fd\u529b，\u80fd\u5feb<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[1299,73,568,43],"topic":[],"class_list":["post-85968","post","type-post","status-publish","format-standard","hentry","category-server","tag-elasticsearch","tag-mcp","tag-typescript","tag-43"],"yoast_head":"\n \u4f7f\u7528 TypeScript \u521b\u5efa Elasticsearch MCP \u670d\u52a1\u5668 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/85968.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u4f7f\u7528 TypeScript \u521b\u5efa Elasticsearch MCP \u670d\u52a1\u5668 - 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