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
基本情報
Access all your OpenAI Compatible endpoints with the same base URL and API key.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"doroseek": {
"command": "deno",
"args": [
"task",
"start"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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