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MCP 服务，支持三层搜索（文本/TF-IDF/语义向量），提供 Web UI 管理界面","maintainers":[{"name":"dyyz1993","email":"dyyz1993@qq.com"}],"readme":"# Knowledge Base MCP\n\n跨项目的知识库 MCP 服务，支持三层搜索（文本匹配 / TF-IDF / 语义向量），提供 Web UI 管理界面。\n\n## 功能特性\n\n- **18 个 MCP 工具** — kb_write / kb_read / kb_search / kb_search_semantic / kb_list / kb_delete / kb_update / kb_outline / kb_recent / kb_ask / kb_ingest_url / kb_ingest_repo / kb_stale_check / kb_auto_link / kb_suggest / file_read / file_grep / file_exists\n- **三层搜索架构** — P0 文本匹配 + P1 TF-IDF + P2 多语言语义向量，加权融合排序\n- **多语言语义搜索** — 基于 `paraphrase-multilingual-MiniLM-L12-v2`，支持 50+ 语言跨语言检索\n- **自进化闭环** — kb_ask miss → Agent 联网搜索 → kb_ingest_url 存储 → 下次秒回\n- **Miss 日志分析** — 记录高频未命中查询，kb_suggest 推荐预抓取主题\n- **双传输模式** — Stdio（本地 MCP 客户端）+ HTTP（StreamableHTTP / SSE / REST API）\n- **Web UI** — Vite 6 + React 18 + Zustand + Tailwind + Ant Design\n\n## 快速开始\n\n### npx 一键启动（推荐）\n\n无需克隆仓库，直接运行：\n\n```bash\n# Stdio 模式\nnpx @dyyz1993/kb-mcp --stdio\n\n# HTTP 模式\nnpx @dyyz1993/kb-mcp --http --port 19877\n```\n\n### 全局安装（可选）\n\n```bash\nnpm install -g @dyyz1993/kb-mcp\nkb-mcp --stdio\n```\n\n### 从源码构建\n\n```bash\ngit clone https://github.com/dyyz1993/knowledge-base-mcp.git\ncd knowledge-base-mcp\nbun install\n```\n\n首次使用语义搜索时，需要预先下载 embedding 模型：\n\n```bash\nbun run -e '\nimport { pipeline, env } from \"@huggingface/transformers\"\nimport { join } from \"node:path\"\nimport { homedir } from \"node:os\"\nenv.localModelPath = join(homedir(), \".cache/huggingface/local-models\")\nenv.allowLocalModels = true\nawait pipeline(\"feature-extraction\", \"Xenova/paraphrase-multilingual-MiniLM-L12-v2\", { dtype: \"fp32\" })\nconsole.log(\"Model downloaded\")\n'\n```\n\n语义搜索（P2）为可选功能。未安装 `@huggingface/transformers` 时，P0 文本匹配和 P1 TF-IDF 搜索仍正常工作。如果不下载模型，语义搜索（P2）不可用，但文本匹配（P0）和 TF-IDF（P1）仍正常工作。\n\n## OpenCode 配置\n\n### Stdio 模式（推荐本地使用）\n\n编辑 `~/.config/opencode/opencode.json`，在 `mcp.servers` 中添加：\n\n```json\n{\n  \"mcp\": {\n    \"servers\": {\n      \"knowledge-base\": {\n        \"type\": \"local\",\n        \"command\": [\"npx\", \"@dyyz1993/kb-mcp\", \"--stdio\"]\n      }\n    }\n  }\n}\n```\n\n无需手动启动，OpenCode 会自动管理进程生命周期。\n\n### StreamableHTTP 模式（远程服务器）\n\n先启动服务：\n\n```bash\nnpx @dyyz1993/kb-mcp --http --port 19877\n```\n\n配置：\n\n```json\n{\n  \"mcp\": {\n    \"servers\": {\n      \"knowledge-base\": {\n        \"type\": \"streamable-http\",\n        \"url\": \"http://your-server:19877/mcp\"\n      }\n    }\n  }\n}\n```\n\n### SSE 模式（旧版客户端）\n\n```json\n{\n  \"mcp\": {\n    \"servers\": {\n      \"knowledge-base\": {\n        \"type\": \"sse\",\n        \"url\": \"http://your-server:19877/sse\"\n      }\n    }\n  }\n}\n```\n\n## Claude Desktop 配置\n\n### Stdio 模式（推荐本地使用）\n\n编辑 Claude Desktop 配置文件，在 `mcpServers` 中添加：\n\n```json\n{\n  \"mcpServers\": {\n    \"knowledge-base\": {\n      \"command\": \"npx\",\n      \"args\": [\n        \"@dyyz1993/kb-mcp\",\n        \"--stdio\"\n      ],\n      \"type\": \"stdio\"\n    }\n  }\n}\n```\n\n无需手动启动，Claude Desktop 会自动管理进程生命周期。\n\n### SSE 模式（推荐远程服务器）\n\n先启动服务：\n\n```bash\nnpx @dyyz1993/kb-mcp --http --web --port 19877\n```\n\n配置：\n\n```json\n{\n  \"mcpServers\": {\n    \"knowledge-base\": {\n      \"url\": \"http://localhost:19877/sse\",\n      \"type\": \"sse\"\n    }\n  }\n}\n```\n\n访问 http://localhost:19877 查看 Web UI 管理界面。\n\n\n## Web UI\n\n```bash\n# 一条命令同时启动 MCP API + Web UI\nnpx @dyyz1993/kb-mcp --http --web --port 19877\n```\n\n访问 http://localhost:19877 查看 Web UI。\n\n## MCP 工具\n\n### 知识库工具\n\n| 工具 | 说明 |\n|---|---|\n| `kb_write` | 保存知识文档，支持标签、关键词、来源项目等元数据 |\n| `kb_read` | 读取文档内容，超 50 行自动截断 |\n| `kb_search` | 文本 + 关键词 + 标签多维搜索 |\n| `kb_search_semantic` | 语义向量搜索，支持跨语言检索 |\n| `kb_list` | 浏览文档列表，按标签或项目过滤 |\n| `kb_delete` | 删除文档，同步更新索引 |\n| `kb_update` | 更新文档正文、标题、标签、关键词 |\n| `kb_outline` | 获取指定项目的文档大纲 |\n| `kb_recent` | 获取最近插入的文档，支持按时间范围过滤 |\n\n### 自进化工具\n\n| 工具 | 说明 |\n|---|---|\n| `kb_ask` | 智能查询：先搜知识库，miss 时返回结构化 Miss Task 引导 Agent 搜索后存储 |\n| `kb_ingest_url` | 摄入 URL 内容到知识库（Agent 用 web-reader/xbrowser 抓取后调用），自动 resolve miss |\n| `kb_ingest_repo` | 克隆 GitHub 仓库并分析目录结构 + 关键文件，生成知识文档 |\n| `kb_suggest` | 基于 miss 日志分析，推荐应预抓取的高频未命中主题 |\n| `kb_stale_check` | 检查知识库中 related_files 引用的文件是否已变更 |\n| `kb_auto_link` | 自动发现知识库中语义相关的文档，返回关联建议 |\n\n### 文件访问工具（适用于远程访问）\n\n| 工具 | 说明 |\n|---|---|\n| `file_read` | 通过绝对路径读取文件内容，支持 offset 和 limit 参数 |\n| `file_grep` | 在指定文件中搜索文本内容，支持正则表达式 |\n| `file_exists` | 检查文件或目录是否存在 |\n\n### kb_write 参数\n\n```typescript\n{\n  title: string              // 文档标题\n  content: string            // 正文（Markdown）\n  tags: string[]             // 标签：tutorial / document / analysis / guide / snippet / best-practice / reference / architecture / troubleshooting / decision\n  keywords: string[]         // 关键词，用于检索\n  intent: string             // 创建意图或使用场景\n  project_description: string // 当前项目简要描述\n  source_project?: string    // 来源项目路径（自动填充）\n  source_worktree?: string   // 来源 worktree 路径（自动填充）\n}\n```\n\n### file_read 参数\n\n```typescript\n{\n  path: string           // 文件绝对路径\n  offset?: number        // 起始行号（默认 0）\n  limit?: number         // 读取行数（默认 2000）\n}\n```\n\n### file_grep 参数\n\n```typescript\n{\n  path: string           // 文件绝对路径\n  pattern: string       // 搜索文本或正则表达式\n  case_sensitive?: boolean  // 是否区分大小写（默认 false）\n  regex?: boolean       // 是否使用正则表达式（默认 true）\n}\n```\n\n### file_exists 参数\n\n```typescript\n{\n  path: string           // 文件/目录绝对路径\n}\n```\n\n### kb_ask 参数\n\n```typescript\n{\n  query: string                // 自然语言查询\n  max_web_results?: number     // 联网搜索最大结果数（默认 3，当前未使用）\n  auto_save?: boolean          // 是否自动存入知识库（默认 true，当前未使用）\n}\n```\n\n**返回值**：\n- KB 命中：`{ from_kb: true, id, title, score, content, hint }`\n- KB 未命中（Miss）：`{ from_kb: false, miss: true, suggested_workflow, alternative_workflows, hint }`\n\n### kb_ingest_url 参数\n\n```typescript\n{\n  url: string                  // 来源 URL\n  title: string                // 文档标题\n  content: string              // 页面内容（Markdown 格式）\n  tags?: string[]              // 标签（默认 [\"reference\", \"auto-ingested\"]）\n  keywords?: string[]          // 关键词（不填则从标题自动提取）\n}\n```\n\n### kb_ingest_repo 参数\n\n```typescript\n{\n  repo: string                 // GitHub 仓库（owner/repo 格式，如 oven-sh/bun）\n  max_files?: number           // 最多读取文件数（默认 20）\n}\n```\n\n### kb_recent 参数\n\n```typescript\n{\n  hours?: number               // 查询最近多少小时（默认 24）\n  limit?: number               // 最大返回数量（默认 50）\n  include_content?: boolean    // 是否返回完整内容（默认 false）\n}\n```\n\n### kb_suggest 参数\n\n```typescript\n{\n  limit?: number               // 返回建议数量（默认 10）\n}\n```\n\n### kb_stale_check 参数\n\n```typescript\n{}  // 无参数，自动检查所有带 related_files 的文档\n```\n\n### kb_auto_link 参数\n\n```typescript\n{\n  doc_id?: string              // 指定文档 ID（不指定则分析最近 10 篇）\n  threshold?: number           // 语义相似度阈值 0-1（默认 0.7）\n}\n```\n\n## 自进化闭环\n\n```\n用户查询 → kb_ask\n  ├── KB 命中（score ≥ 40）→ 直接返回，无需联网\n  └── KB 未命中 → 返回 Miss Task\n        ├── suggested_workflow:\n        │     step_1: web-search-prime(query)\n        │     step_2: web-reader(url)\n        │     step_3: kb_ingest_url(url, title, content)\n        └── alternative_workflows:\n              • GitHub: zread(repo) → kb_ingest_url()\n              • JS 渲染: agent-browser → kb_ingest_url()\n              • 本地项目: kb_ingest_repo(repo_url)\n\nAgent 执行搜索 → kb_ingest_url 存储 → resolveMiss → 下次查询直接命中\nkb_suggest 分析高频 miss → 推荐预抓取主题\n```\n\n## REST API\n\n以下端点仅在 HTTP 模式下可用。\n\n| 方法 | 路径 | 说明 |\n|---|---|---|\n| GET | `/health` | 健康检查 |\n| GET | `/api/docs` | 列出所有文档 |\n| GET | `/api/doc/:id` | 读取指定文档 |\n| POST | `/api/search` | 综合搜索（三层融合） |\n| POST | `/api/search/semantic` | 语义搜索 |\n| GET | `/api/outline?project=...` | 获取项目大纲 |\n\n## 搜索架构\n\n```\n查询 → ┌─ P0: 文本匹配（标题/关键词/意图） ──── 权重 0.2\n       ├─ P1: TF-IDF（加权词频 + 余弦相似度） ── 权重 0.3\n       └─ P2: 语义向量（384维 embedding + 余弦相似度） ── 权重 0.5\n         ↓\n       加权融合 → 排序返回 TopK\n```\n\n| 层级 | 算法 | 特点 | 场景 |\n|---|---|---|---|\n| P0 | 子串匹配 + 字段加权 | 精确、快速 | 已知关键词 |\n| P1 | TF-IDF + 余弦相似度 | 中文 bigram 分词，加权字段 | 模糊匹配 |\n| P2 | multilingual-MiniLM + 余弦相似度 | 50+ 语言跨语言语义匹配 | 自然语言查询 |\n\n`kb_search` 使用 P0，`kb_search_semantic` 使用 P2，HTTP `/api/search` 使用三层融合。\n\n## 存储结构\n\n所有数据存储在 `~/.knowledge/`（可通过 `KB_DIR` 环境变量自定义）：\n\n```\n~/.knowledge/\n├── index.json              # 文档索引\n├── vectors.json            # 语义向量缓存\n├── outlines/               # 项目大纲\n│   └── {project-slug}.json\n├── {id}-{title-slug}.md    # 文档文件（YAML frontmatter + Markdown 正文）\n└── ...\n```\n\n单个文档文件示例：\n\n```markdown\n---\nid: \"abc123xyz\"\ntitle: \"React Hooks 最佳实践\"\ntags: [\"best-practice\"]\nkeywords: [\"react\", \"hooks\", \"useEffect\"]\nintent: \"React 开发中 hooks 的常见模式和陷阱\"\nproject_description: \"前端组件库项目\"\nsource_project: \"/Users/x/project-frontend\"\ncreated_at: 1746012345678\n---\n\n## 使用 useEffect 的注意事项\n...\n```\n\n## 测试\n\n```bash\nbun test\n```\n\n## 环境变量\n\n| 变量 | 默认值 | 说明 |\n|---|---|---|\n| `KB_DIR` | `~/.knowledge` | 知识库存储目录 |\n| `PORT` | `19877` | HTTP 模式端口（也可用 `--port` 参数） |\n\n## License\n\nMIT\n","readmeFilename":"README.md"}