Каталог IDE-підключень

Підключи Rozumia за 30 секунд

Один Bearer-токен — GPT-5, Claude Sonnet, Gemini 2.5 Pro та ще 20+ моделей. ������ �� MCP-������ � �� OpenAI-������� REST.

Cursor
MCP
  1. 1.Відкрий Cursor → Settings → MCP → Add server
  2. 2.Встав JSON у mcp.json
    {
      "mcpServers": {
        "rozumia": {
          "url": "https://rozumia.app/api/public/mcp",
          "headers": { "Authorization": "Bearer rzm_live_..." }
        }
      }
    }
  3. 3.Перезапусти Cursor — доступні tools: rozumia_chat, rozumia_image, rozumia_usage
🅒
Claude Code
MCP · CLI
  1. 1.���� ������� � �������
    claude mcp add rozumia \
      --url https://rozumia.app/api/public/mcp \
      --header "Authorization: Bearer rzm_live_..."
  2. 2.������ ����������
    claude mcp list
ChatGPT
MCP · Custom GPT
  1. 1.У ChatGPT → Settings → Connectors → Add
  2. 2.Заповни поля
    Name: Rozumia
    URL:  https://rozumia.app/api/public/mcp
    Auth: Bearer rzm_live_...
  3. 3.������ � ���������� �� ���������� � ����-����� ���
🌊
Windsurf
MCP
  1. 1.Cascade → Settings → MCP Servers → Add custom server
  2. 2.Config
    {
      "name": "rozumia",
      "serverUrl": "https://rozumia.app/api/public/mcp",
      "headers": { "Authorization": "Bearer rzm_live_..." }
    }
Z
Zed
MCP
  1. 1.Settings → Assistant → Context Servers
  2. 2.Додай Rozumia
    "context_servers": {
      "rozumia": {
        "command": {
          "path": "npx",
          "args": ["-y", "mcp-remote", "https://rozumia.app/api/public/mcp",
            "--header", "Authorization: Bearer rzm_live_..."]
        }
      }
    }
VS Code / Copilot
MCP · REST
  1. 1.�������� MCP-���������� (Continue, Cline ����)
  2. 2.У continue.json
    {
      "models": [{
        "title": "Rozumia GPT-5",
        "provider": "openai",
        "model": "gpt-5",
        "apiBase": "https://rozumia.app/api/public/v1",
        "apiKey": "rzm_live_..."
      }]
    }
OpenAI SDK (Python / JS)
REST · drop-in
  1. 1.Python
    from openai import OpenAI
    client = OpenAI(base_url="https://rozumia.app/api/public/v1", api_key="rzm_live_...")
    r = client.chat.completions.create(
      model="claude-sonnet-4",
      messages=[{"role":"user","content":"Hi"}],
      stream=True,
    )
    for chunk in r: print(chunk.choices[0].delta.content or "", end="")
  2. 2.TypeScript
    import OpenAI from "openai";
    const client = new OpenAI({ baseURL: "https://rozumia.app/api/public/v1", apiKey: "rzm_live_..." });
    const r = await client.chat.completions.create({
      model: "gpt-5",
      messages: [{ role: "user", content: "Hi" }],
    });
$
curl / будь-що
REST
  1. 1.Streaming SSE запит
    curl -N https://rozumia.app/api/public/v1/chat/completions \
      -H "Authorization: Bearer rzm_live_..." \
      -H "Content-Type: application/json" \
      -d '{
        "model":"gemini-2.5-pro",
        "stream":true,
        "messages":[{"role":"user","content":"Say hi"}]
      }'
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  • • GPT-5 · GPT-5 Mini · o1 · o3
  • • Claude Sonnet 4 · Haiku 4
  • • Gemini 2.5 Pro · Flash
  • • Llama 3.3 · Qwen · DeepSeek
  • • Image gen (SD3, FLUX)
  • • Streaming SSE · tool-calls · JSON mode