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MCP Server — 83 tools over stdio or Streamable HTTP: Bot, Project, Knowledge, Channel, Conversation, Analytics, Transaction, Agent (list/get/capabilities/chat/prepareTransaction), API Key management, AgentX (marketplace, subscription, monitorin","maintainers":[{"name":"stevenwang000x","email":"apply.wang@hotmail.com"}],"readme":"# @aiservicer/mcp-server\n\nAIServicer 的 Model Context Protocol (MCP) Server 独立包 —— 通过 stdio 协议向 AI 客户端（Cursor、Claude Desktop 等）暴露 AIServicer 平台的 66 个工具：Bot / 项目 / 知识库 / 渠道 / 对话 / 交易 / Agent 管理 / API Key / AgentX / Admin / LightRAG / 全局分析 / Function Calling chat。\n\n- 传输协议：stdio（**不需要开放任何网络端口**）\n- 协议版本：MCP 2024-11-05\n- 认证：`AISERVICER_API_KEY`（X-API-Key Header）\n\n## 安装与使用\n\n### 1. 从 npm 安装（推荐）\n\n```bash\n# 全局安装（任意目录可直接调用）\nnpm i -g @aiservicer/mcp-server\n\n# 或使用 npx（不安装）\nnpx @aiservicer/mcp-server\n```\n\n### 2. 配置 AI 客户端\n\n**Cursor** — 在项目目录创建 `.cursor/mcp.json`：\n\n```json\n{\n  \"mcpServers\": {\n    \"aiservicer\": {\n      \"command\": \"aiservicer-mcp-server\",\n      \"env\": {\n        \"AISERVICER_BASE_URL\": \"https://aiservicer.0xainet.top\",\n        \"AISERVICER_API_KEY\": \"your-api-key-here\"\n      }\n    }\n  }\n}\n```\n\n**Claude Desktop** — 编辑 `claude_desktop_config.json`：\n\n```json\n{\n  \"mcpServers\": {\n    \"aiservicer\": {\n      \"command\": \"aiservicer-mcp-server\",\n      \"args\": [],\n      \"env\": {\n        \"AISERVICER_BASE_URL\": \"https://aiservicer.0xainet.top\",\n        \"AISERVICER_API_KEY\": \"your-api-key-here\"\n      }\n    }\n  }\n}\n```\n\n### 3. 环境变量\n\n| 变量 | 必填 | 默认值 | 说明 |\n|------|------|--------|------|\n| `AISERVICER_BASE_URL` | 是 | `http://localhost:3800` | Gateway API 根地址（工具内部已含 `/api/v1` 前缀）。生产环境填 `https://aiservicer.0xainet.top` |\n| `AISERVICER_API_KEY` | 是 | - | API Key 认证（X-API-Key Header） |\n| `AISERVICER_SERVER_BASE_URL` | 否 | 同 `AISERVICER_BASE_URL` | Server API 地址（auth/agentx/chat/admin 端点）。生产环境填 `https://aiservicer.0xainet.top`（server 域与 gateway 同域名） |\n| `AISERVICER_ADMIN_TOKEN` | 否 | - | 平台管理员 JWT。配置后启用 `admin_*` 工具 |\n\n## 对话与 BYOK 要求（重要）\n\nMCP Server 始终以 **API Key（集成方）** 身份调用平台，因此：\n\n- **平台 LLM 不向 API Key 开放**：API Key 调用的对话请求若 Bot 未配置自有 LLM，返回 **400 `byok_required`**\n- `chat_with_agent` 工具调用前，目标 Bot **必须已配置 LLM Provider（BYOK）**——即商户自己的 OpenAI 兼容 endpoint + Key + Model\n\n配置 BYOK 两种方式：\n\n1. **平台后台**：项目 → Bot → LLM Provider 配置\n2. **Merchant API**：\n\n```bash\ncurl -X PATCH http://localhost:5189/api/merchant/projects/<projectId>/bots/<botId>/llm-config \\\n  -H \"Authorization: Bearer <merchant JWT>\" -H \"Content-Type: application/json\" \\\n  -d '{\n    \"provider\": \"custom\",\n    \"endpoint\": \"https://api.openai.com/v1\",\n    \"apiKey\": \"sk-...\",\n    \"model\": \"gpt-4o\"\n  }'\n```\n\n> 平台登录用户（JWT）不受此限制，走平台默认 LLM（按套餐 token 配额计费）。\n\n## 发布流程（维护者）\n\n### 版本号约定\n\n| 项 | 值 | 说明 |\n|----|----|----|\n| 当前版本 | **0.8.2** | npm 远端 latest 为 0.8.1，按小版本递增（BYOK 规则文档/提示同步） |\n| 依赖 `@aiservicer/sdk` | **^0.8.2** | 必须跟随 SDK 发布进度升级；SDK 新增资源（orchestration / scheduledTasks）时同步在本包补工具 |\n| 依赖 `@modelcontextprotocol/sdk` | ^1.0.0 | MCP 官方 SDK |\n| 依赖 `zod` | ^3.23.0 | 工具参数 schema 校验 |\n\n> 版本对齐规则：`@aiservicer/mcp-server` 与 `@aiservicer/sdk` 各自独立发版，但 MCP 包的 `@aiservicer/sdk` 依赖始终指向已发布的最新版（^0.8.2 起）。涉及 SDK API 变更时必须先发 SDK 再发 MCP 包。\n\n### 发布步骤\n\n```bash\ncd mcp-server\n\n# 1. 升级版本号（不自动打 tag，tag 由仓库统一管理）\nnpm version 0.8.2 --no-git-tag-version\n\n# 2. 校验依赖版本（发布前确认 sdk 依赖为最新已发布版）\ngrep '\"@aiservicer/sdk\"' package.json   # 应为 ^0.8.2\n\n# 3. 安装依赖并构建\nnpm install\nnpm run build                            # tsc → dist/index.js\nnode dist/index.js --help 2>&1 | head    # 冒烟测试（缺 env 应报错退出）\n\n# 4. 发布（需要 @aiservicer 组织权限，token 在 ~/.npmrc）\nnpm publish\n\n# 5. 验证远端 latest\nnpm dist-tag ls @aiservicer/mcp-server   # 期望 latest = 0.8.2\n\n# 6. 提交版本号变更\ncd ..\ngit add mcp-server/package.json mcp-server/package-lock.json\ngit commit -m \"chore(mcp-server): 发布 @aiservicer/mcp-server@0.8.2\"\n```\n\n> 发布依赖 npm 凭证：`NPM_TOKEN` 写入 `~/.npmrc`（`//registry.npmjs.org/:_authToken=...`），发布账号需属于 `@aiservicer` 组织。\n\n### 变更检查清单\n\n- [ ] SDK 依赖已升级到最新已发布版（`npm dist-tag ls @aiservicer/sdk`）\n- [ ] `npm run build` 通过，`dist/index.js` 存在\n- [ ] `npm publish` 后 `npm dist-tag ls` 确认 latest 更新\n- [ ] 仓库内 `package.json` / `package-lock.json` 已提交\n\n## 完整工具清单\n\n见仓库根目录 [docs/MCP.md](../docs/MCP.md)。\n","readmeFilename":"README.md"}