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
Basic information
Access all your OpenAI Compatible endpoints with the same base URL and API key.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"doroseek": {
"command": "deno",
"args": [
"task",
"start"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov

Request dedicated senior developers to work on your project, write job descriptions, and prep technical interviews — all without leaving your Claude chat. Just describe what you need, and Lemon.io MCP does the rest. 1–3
A curated list of references for MLOps
YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context
不止于 CSS
Comments