RAG
Provides cloud-based document management and semantic search using OpenAI embeddings with in-memory ...
获取 OpenAI 或豆包 API Key
- 如果使用 OpenAI:
- 前往 OpenAI 个人 API Keys 页面。
- 登录你的 OpenAI 账号。
- 点击 “Create new secret key” 创建一个新的 API Key。
- 复制该 API Key,后续将在连接窗口中使用。
- 如果使用豆包:
- 前往 火山引擎豆包控制台(需要注册并登录)。
- 在 API 管理或密钥管理页面生成并复制 API Key。
- 如果使用 OpenAI:
填写 API 相关参数
- 根据选择的模型类型,准备相应参数:
- OPENAI_API_KEY:上一步获取到的 key
- OPENAI_API_BASE:对于 OpenAI 填写
https://api.openai.com/v1;对于豆包为https://ark.cn-beijing.volces.com/api/v3 - OPENAI_MODEL:如使用 OpenAI 推荐
gpt-4o-mini,如用豆包则为doubao-1-5-pro-32k-250115 - OPENAI_TEMPERATURE:如需默认填写
0 - OPENAI_EMBEDDING_MODEL:OpenAI 用
text-embedding-3-large,豆包用doubao-embedding-text-240715
- 根据选择的模型类型,准备相应参数:
在 FastMCP 连接界面中添加 ENV 信息
- 点击“Install Now”按钮进入 ENV 配置界面。
- 将获取到的 API Key 及以上相关参数填写到 FastMCP 连接配置窗口。
- 保存配置。
注意:你只需填写需要用到的 ENV 项(如只使用 OpenAI,则只填 OpenAI 参数)。
如果需要其他详细说明或帮助,可参考上方 README 的“配置”部分。
How to Install RAG
Install RAG MCP server with one click through FastMCP. Choose your preferred AI development tool below:
Claude Desktop
Click "Claude Desktop" in Quick Start
Cursor IDE
Click "Cursor IDE" in Quick Start
VS Code
Click "VS Code" in Quick Start
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