What is the difference between Doroseek and a direct OpenAI endpoint?
Doroseek allows you to manage multiple endpoints, assign aliases, and generate API keys for shared access, while also providing MCP server capabilities.
@junjiepro
基本信息
Access all your OpenAI Compatible endpoints with the same base URL and API key.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"doroseek": {
"command": "deno",
"args": [
"task",
"start"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Doroseek is a multi-purpose AI app built with Deno and Fresh that provides OpenAI-compatible endpoints, an MCP server with built-in tools, and an MCP proxy server to connect to other MCP servers. It is designed for developers who want to aggregate multiple AI endpoints and use MCP tools via SSE.
Install Deno, copy .env.example to .env, set ADMIN_KEY and MCP_MAX_DURATION environment variables, optionally configure the database, then run deno task start from the root of the repository. Access OpenAI-compatible routes via /{key} or /api, MCP SSE via /mcp/{server}/sse, and MCP proxy via /mcp/proxy/sse with appropriate parameters.
Doroseek allows you to manage multiple endpoints, assign aliases, and generate API keys for shared access, while also providing MCP server capabilities.
Doroseek requires Deno to run locally and uses Deno's OpenKv for database by default.
Data is stored locally in a Deno OpenKv database, defaulting to a local file (`./db`). No external database is required by default.
Doroseek uses SSE transport for its MCP SSE server and MCP Proxy server. The proxy can connect to stdio or external SSE servers.
Set the `ADMIN_KEY` environment variable to restrict creation of settings to only that key; otherwise, any key can create its own settings.

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