fix: 联网核对全部 20 条目 — 修正版本号、stars、URL 及错误字段

- 修复严重错误：Coze GitHub URL 404、Dify/百度地图端口错误、GitHub MCP 废弃包
- 更新全部 Docker Apps 版本（n8n 2.10.4、Dify 1.13.0、LobeChat 2.1.38 等）
- 更新全部 MCP 服务版本和 toolCount（含 CalVer 迁移）
- 重写 OpenClaw 条目（描述、端口、Node 版本全部错误）
- 补全企业微信 7 种消息类型，修正 DeepL 语言数

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

entries/anythingllm/manifest.json

@@ -2,7 +2,7 @@
   "id": "anythingllm",
   "name": "AnythingLLM",
   "type": "docker-app",
-  "version": "1.6.2",
+  "version": "1.11.1",
   "author": "Mintplex Labs",
   "description": "全能型 AI 桌面应用，支持 RAG、Agent 和文档对话",
   "tags": [
@@ -19,7 +19,7 @@
   ],
   "category": "tools",
   "fullDesc": "AnythingLLM 是一个全能型 AI 应用，可以将任何文档、资源或内容转化为上下文，供任何 LLM 在聊天中使用。支持多用户管理、权限控制和嵌入式对话。",
-  "stars": 30200,
+  "stars": 55900,
   "githubUrl": "https://github.com/Mintplex-Labs/anything-llm",
   "shortDesc": "全能型 AI 桌面应用，支持 RAG、Agent 和文档对话",
   "install": {

entries/baidu-map/manifest.json

@@ -16,7 +16,7 @@
     "windows",
     "linux"
   ],
-  "endpoint": "https://api.map.baidu.com/v3",
+  "endpoint": "https://api.map.baidu.com",
   "capabilities": [
     "geocoding",
     "route_plan",

entries/coze/manifest.json

@@ -2,8 +2,8 @@
   "id": "coze",
   "name": "Coze",
   "type": "docker-app",
-  "version": "0.5.0",
+  "version": "0.5.1",
-  "author": "Coze",
+  "author": "coze-dev",
   "description": "字节跳动 AI Bot 开发平台（开源社区版）",
   "tags": [
     "Bot",
@@ -19,8 +19,8 @@
   ],
   "category": "ai-platform",
   "fullDesc": "Coze 是一个 AI 聊天机器人和应用开发平台，提供 LLM、知识库、插件和工作流等能力。支持快速构建、测试和部署 AI Bot，无需编程经验。",
-  "stars": 12300,
+  "stars": 20100,
-  "githubUrl": "https://github.com/coze-dev/coze",
+  "githubUrl": "https://github.com/coze-dev/coze-studio",
   "shortDesc": "字节跳动 AI Bot 开发平台（开源社区版）",
   "install": {
     "method": "docker",
@@ -29,7 +29,7 @@
       "minMemory": "4GB",
       "minDisk": "8GB",
       "ports": [
-        8800
+        8888
       ]
     },
     "configNeeded": [

entries/db-mcp/manifest.json

@@ -2,8 +2,8 @@
   "id": "db-mcp",
   "name": "Database MCP",
   "type": "mcp",
-  "version": "0.5.2",
+  "version": "0.6.2",
-  "author": "Community",
+  "author": "Anthropic",
   "description": "PostgreSQL 数据库查询与管理，支持 SQL 执行和 Schema 浏览",
   "tags": [
     "数据库",
@@ -21,7 +21,7 @@
     "schema_browse",
     "data_export"
   ],
-  "toolCount": 8,
+  "toolCount": 1,
   "install": {
     "method": "npx",
     "packageName": "@modelcontextprotocol/server-postgres",

entries/deepl-translate/manifest.json

@@ -4,7 +4,7 @@
   "type": "http-api",
   "version": "2.0",
   "author": "DeepL",
-  "description": "高质量多语言翻译服务，支持 30+ 语言互译和文档翻译",
+  "description": "高质量多语言翻译服务，支持 35+ 语言互译和文档翻译",
   "tags": [
     "翻译",
     "多语言",

entries/dify-mcp/manifest.json

@@ -2,7 +2,7 @@
   "id": "dify-mcp",
   "name": "Dify MCP Bridge",
   "type": "mcp",
-  "version": "0.8.3",
+  "version": "1.13.0",
   "author": "Dify.AI",
   "description": "Dify 平台 Agent 工具集桥接，支持调用 Dify 内置工具和自定义工具",
   "tags": [
@@ -23,7 +23,7 @@
   ],
   "connection": {
     "transport": "streamable-http",
-    "url": "http://localhost:3000/mcp"
+    "url": "http://localhost/mcp"
   },
   "sourceAppId": "dify",
   "sourceAppName": "Dify"

entries/dify-rag/manifest.json

@@ -2,7 +2,7 @@
   "id": "dify-rag",
   "name": "Dify RAG API",
   "type": "http-api",
-  "version": "0.8.3",
+  "version": "1.13.0",
   "author": "Dify.AI",
   "description": "Dify 知识库检索服务，支持语义搜索和多知识库联合检索",
   "tags": [
@@ -16,7 +16,7 @@
     "windows",
     "linux"
   ],
-  "endpoint": "http://localhost:3000/api/v1/datasets",
+  "endpoint": "http://localhost/api/v1/datasets",
   "capabilities": [
     "semantic_search",
     "multi_dataset",

entries/dify/manifest.json

@@ -2,7 +2,7 @@
   "id": "dify",
   "name": "Dify",
   "type": "docker-app",
-  "version": "0.8.3",
+  "version": "1.13.0",
   "author": "Dify.AI",
   "description": "开源 AI 应用开发平台，支持 RAG、Agent、工作流编排",
   "tags": [
@@ -20,7 +20,7 @@
   ],
   "category": "ai-platform",
   "fullDesc": "Dify 是一个开源的 LLM 应用开发平台，提供从 Agent 构建到 AI Workflow 编排、RAG 检索、模型管理等能力，轻松构建和运营生成式 AI 原生应用。支持数百种模型接入。",
-  "stars": 56200,
+  "stars": 131700,
   "githubUrl": "https://github.com/langgenius/dify",
   "shortDesc": "开源 AI 应用开发平台，支持 RAG、Agent、工作流编排",
   "install": {
@@ -30,8 +30,7 @@
       "minMemory": "4GB",
       "minDisk": "10GB",
       "ports": [
-        3000,
+        80
-        5001
       ]
     },
     "configNeeded": [

entries/fetch-mcp/manifest.json

@@ -2,7 +2,7 @@
   "id": "fetch-mcp",
   "name": "Fetch MCP",
   "type": "mcp",
-  "version": "0.6.2",
+  "version": "2025.4.7",
   "author": "Anthropic",
   "description": "网页内容获取与转换，将网页转为 Markdown 供 LLM 使用",
   "tags": [
@@ -21,7 +21,7 @@
     "html_to_markdown",
     "content_extract"
   ],
-  "toolCount": 2,
+  "toolCount": 1,
   "install": {
     "method": "uvx",
     "packageName": "mcp-server-fetch",

entries/fs-mcp/manifest.json

@@ -2,7 +2,7 @@
   "id": "fs-mcp",
   "name": "Filesystem MCP",
   "type": "mcp",
-  "version": "1.2.0",
+  "version": "2026.1.14",
   "author": "Anthropic",
   "description": "本地文件系统操作，支持读写、搜索、监控文件变化",
   "tags": [
@@ -21,7 +21,7 @@
     "file_search",
     "file_watch"
   ],
-  "toolCount": 11,
+  "toolCount": 13,
   "install": {
     "method": "npx",
     "packageName": "@modelcontextprotocol/server-filesystem",

entries/github-mcp/manifest.json

@@ -2,7 +2,7 @@
   "id": "github-mcp",
   "name": "GitHub MCP",
   "type": "mcp",
-  "version": "0.9.1",
+  "version": "0.32.0",
   "author": "GitHub",
   "description": "代码仓库操作，支持 PR、Issue、代码搜索和仓库管理",
   "tags": [
@@ -22,14 +22,18 @@
     "issue_manage",
     "code_search"
   ],
-  "toolCount": 35,
+  "toolCount": 51,
   "install": {
-    "method": "npx",
+    "method": "docker",
-    "packageName": "@modelcontextprotocol/server-github",
+    "packageName": "ghcr.io/github/github-mcp-server",
-    "command": "npx",
+    "command": "docker",
     "args": [
-      "-y",
+      "run",
-      "@modelcontextprotocol/server-github"
+      "-i",
+      "--rm",
+      "-e",
+      "GITHUB_PERSONAL_ACCESS_TOKEN",
+      "ghcr.io/github/github-mcp-server"
     ],
     "env": {
       "GITHUB_PERSONAL_ACCESS_TOKEN": "<your-token>"
@@ -37,10 +41,14 @@
   },
   "connection": {
     "transport": "stdio",
-    "command": "npx",
+    "command": "docker",
     "args": [
-      "-y",
+      "run",
-      "@modelcontextprotocol/server-github"
+      "-i",
+      "--rm",
+      "-e",
+      "GITHUB_PERSONAL_ACCESS_TOKEN",
+      "ghcr.io/github/github-mcp-server"
     ]
   }
 }

entries/lobechat/manifest.json

@@ -2,12 +2,13 @@
   "id": "lobechat",
   "name": "LobeChat",
   "type": "docker-app",
-  "version": "1.20.0",
+  "version": "2.1.38",
   "author": "LobeHub",
-  "description": "开源高性能聊天机器人框架，支持多模型和插件",
+  "description": "开源多 Agent 协作工作空间，支持多模型和插件",
   "tags": [
     "Chat",
     "多模型",
+    "Agent",
     "插件"
   ],
   "icon": "linear-gradient(135deg, #000000, #333333)",
@@ -18,10 +19,10 @@
     "linux"
   ],
   "category": "chat",
-  "fullDesc": "LobeChat 是一个开源的现代设计 ChatGPT/LLM UI 框架，支持多模型服务提供商（OpenAI / Claude / Gemini / Ollama 等），多模态和可扩展的插件系统。一键免费部署私有 ChatGPT/Claude 应用。",
+  "fullDesc": "LobeChat 是一个开源的多 Agent 协作工作空间，支持多模型服务提供商（OpenAI / Claude / Gemini / Ollama 等），多模态和可扩展的插件系统。一键免费部署私有 ChatGPT/Claude 应用。",
-  "stars": 48900,
+  "stars": 73300,
   "githubUrl": "https://github.com/lobehub/lobe-chat",
-  "shortDesc": "开源高性能聊天机器人框架，支持多模型和插件",
+  "shortDesc": "开源多 Agent 协作工作空间，支持多模型和插件",
   "install": {
     "method": "docker",
     "requirements": {

entries/memory-mcp/manifest.json

@@ -2,7 +2,7 @@
   "id": "memory-mcp",
   "name": "Memory MCP",
   "type": "mcp",
-  "version": "0.6.2",
+  "version": "2026.1.26",
   "author": "Anthropic",
   "description": "基于知识图谱的持久化记忆服务，支持实体和关系的存取",
   "tags": [
@@ -21,7 +21,7 @@
     "relation_store",
     "graph_query"
   ],
-  "toolCount": 7,
+  "toolCount": 9,
   "install": {
     "method": "npx",
     "packageName": "@modelcontextprotocol/server-memory",

entries/n8n/manifest.json

@@ -2,7 +2,7 @@
   "id": "n8n",
   "name": "n8n",
   "type": "docker-app",
-  "version": "1.64.0",
+  "version": "2.10.4",
   "author": "n8n-io",
   "description": "可视化工作流自动化平台，支持 400+ 集成",
   "tags": [
@@ -19,7 +19,7 @@
   ],
   "category": "workflow",
   "fullDesc": "n8n 是一个可扩展的工作流自动化工具。使用公平代码许可，拥有原生 AI 能力，可以连接任何东西。支持自托管，提供丰富的第三方服务集成节点。",
-  "stars": 50600,
+  "stars": 178200,
   "githubUrl": "https://github.com/n8n-io/n8n",
   "shortDesc": "可视化工作流自动化平台，支持 400+ 集成",
   "install": {

entries/open-webui/manifest.json

@@ -2,7 +2,7 @@
   "id": "open-webui",
   "name": "Open WebUI",
   "type": "docker-app",
-  "version": "0.4.8",
+  "version": "0.8.10",
   "author": "Open WebUI",
   "description": "自托管的 AI 对话界面，支持 Ollama 和 OpenAI 兼容 API",
   "tags": [
@@ -19,7 +19,7 @@
   ],
   "category": "chat",
   "fullDesc": "Open WebUI 是一个可扩展的自托管 AI 界面，支持完全离线操作。支持多种 LLM 运行器，包括 Ollama 和 OpenAI 兼容 API，内置 RAG 集成、网页浏览、代码执行等功能。",
-  "stars": 52800,
+  "stars": 126300,
   "githubUrl": "https://github.com/open-webui/open-webui",
   "shortDesc": "自托管的 AI 对话界面，支持 Ollama 和 OpenAI 兼容 API",
   "install": {

entries/openclaw/manifest.json

@@ -2,14 +2,14 @@
   "id": "openclaw",
   "name": "OpenClaw",
   "type": "docker-app",
-  "version": "0.9.0",
+  "version": "2026.3.8",
   "author": "OpenClaw",
-  "description": "开源 Agent 运行时平台，支持多 Agent 编排和工具策略",
+  "description": "开源个人 AI 助手，支持多渠道网关和本地优先架构",
   "tags": [
     "Agent",
-    "Runtime",
+    "Gateway",
-    "Multi-Agent",
+    "Multi-Channel",
-    "Sandbox"
+    "Local-First"
   ],
   "icon": "linear-gradient(135deg, #F59E0B, #DC2626)",
   "iconLetter": "O",
@@ -19,10 +19,10 @@
     "linux"
   ],
   "category": "ai-platform",
-  "fullDesc": "OpenClaw 是一个开源的 Agent 运行时平台，提供嵌入式运行时、会话管理、工具策略控制、多 Agent 编排、Sandbox 隔离执行等能力。支持流式输出、对话压缩、队列管理和 hooks 扩展，适合构建企业级 AI 应用。",
+  "fullDesc": "OpenClaw 是一个开源的个人 AI 助手平台，提供多渠道网关（WhatsApp、Telegram、Slack、Discord 等）、本地优先架构、会话管理和工具策略控制等能力。支持流式输出、对话压缩和 hooks 扩展。",
-  "stars": 8500,
+  "stars": 287700,
   "githubUrl": "https://github.com/openclaw/openclaw",
-  "shortDesc": "开源 Agent 运行时平台，支持多 Agent 编排和工具策略",
+  "shortDesc": "开源个人 AI 助手，支持多渠道网关和本地优先架构",
   "install": {
     "method": "docker-compose",
     "requirements": {
@@ -30,13 +30,12 @@
       "minMemory": "4GB",
       "minDisk": "10GB",
       "ports": [
-        8080,
+        18789
-        3000
       ]
     },
     "configNeeded": [
       "Docker 运行环境",
-      "Node.js 18+",
+      "Node.js 22+",
       "API Key 配置"
     ]
   }

entries/playwright-mcp/manifest.json

@@ -24,7 +24,7 @@
     "pdf_generate",
     "content_extract"
   ],
-  "toolCount": 33,
+  "toolCount": 34,
   "install": {
     "method": "npx",
     "packageName": "@playwright/mcp",

entries/ragflow-pipeline/manifest.json

@@ -2,7 +2,7 @@
   "id": "ragflow-pipeline",
   "name": "RagFlow Pipeline",
   "type": "http-api",
-  "version": "0.14.0",
+  "version": "0.24.0",
   "author": "InfiniFlow",
   "description": "深度文档理解 RAG 引擎，支持复杂格式文档解析和多级检索",
   "tags": [

entries/ragflow/manifest.json

@@ -2,7 +2,7 @@
   "id": "ragflow",
   "name": "RagFlow",
   "type": "docker-app",
-  "version": "0.14.0",
+  "version": "0.24.0",
   "author": "InfiniFlow",
   "description": "基于深度文档理解的开源 RAG 引擎",
   "tags": [
@@ -19,7 +19,7 @@
   ],
   "category": "rag",
   "fullDesc": "RagFlow 是一款基于深度文档理解构建的开源 RAG 引擎。可以为各种规模的企业及个人提供流畅的 RAG 工作流，结合大语言模型（LLM）针对用户各类不同的复杂格式数据提供可靠的问答以及有理有据的引用。",
-  "stars": 28400,
+  "stars": 74500,
   "githubUrl": "https://github.com/infiniflow/ragflow",
   "shortDesc": "基于深度文档理解的开源 RAG 引擎",
   "install": {

entries/wecom-webhook/manifest.json

@@ -4,7 +4,7 @@
   "type": "http-api",
   "version": "1.0",
   "author": "腾讯",
-  "description": "企业微信机器人消息通知，支持文本、Markdown 和卡片消息",
+  "description": "企业微信机器人消息通知，支持文本、Markdown、图片、图文、文件、语音和卡片消息",
   "tags": [
     "通知",
     "企业微信",
@@ -20,6 +20,10 @@
   "capabilities": [
     "text_message",
     "markdown_message",
+    "image_message",
+    "news_message",
+    "file_message",
+    "voice_message",
     "card_message"
   ]
 }

manifest.json

@@ -6,7 +6,7 @@
   "description": "DesireCore 官方注册表 — 应用、MCP 服务和 HTTP API 的统一仓库",
   "maintainer": "DesireCore Team",
   "repository": "https://github.com/desirecore/registry",
-  "lastUpdated": "2026-03-08",
+  "lastUpdated": "2026-03-09",
   "stats": {
     "totalEntries": 20,
     "dockerApps": 8,