io.github.dhnpmp-tech/dcp-mcp

السجل الرسمي الذكاء الاصطناعي والوكلاء

Saudi sovereign AI compute: OpenAI-compatible inference, rent GPU pods, manage storage.

التثبيت

خطوات التثبيت موجودة في التوثيق أدناه. التوثيق

التوثيق

مأخوذ من ملف README للمشروع على GitHub ويُحدَّث أسبوعيًا. تفتح الروابط على GitHub.

المحتويات
  1. @dcp/mcp — DCP Model Context Protocol server
  2. Install (one line)
  3. MCP client config
  4. Tools
  5. Zero-human quickstart (for agents)
  6. Environment
  7. Why DCP

@dcp/mcp — DCP Model Context Protocol server

DCP is Saudi Arabia's sovereign AI compute platform — in-Kingdom inference, GPU rental, and persistent storage, billed in SAR, on Saudi-owned hardware. This MCP server lets any MCP-capable agent (Claude Desktop, Claude Code, Cursor, or your own) use DCP through native tool calls.

It is a thin client: it reads DCP_API_KEY from the environment and calls https://api.dcp.sa. No secrets are bundled.

Install (one line)

The connector runs straight from GitHub — no npm install, no clone:

DCP_API_KEY=dc1-sk-xxxxxxxx npx -y github:dhnpmp-tech/dcp-mcp

MCP client config

Add this to your MCP client (Claude Desktop claude_desktop_config.json, Claude Code / Cursor .mcp.json):

{
  "mcpServers": {
    "dcp": {
      "command": "npx",
      "args": ["-y", "github:dhnpmp-tech/dcp-mcp"],
      "env": { "DCP_API_KEY": "dc1-sk-xxxxxxxx" }
    }
  }
}

Then ask your agent to "list DCP models" or "rent a GPU on DCP for 30 minutes." Agents with no key can call register_agent first — see the quickstart below.

Tools

ToolWhat it does
register_agentSelf-register in one call — get a real API key + small SAR trial, no human, no email click. Use first when you have no key.
list_modelsList currently-serveable models (OpenAI-style).
chatRun a chat completion (OpenAI-compatible, in-Kingdom).
get_balanceRenter wallet balance (SAR).
list_gpusList rentable GPU types (e.g. H100, RTX 4090) with VRAM + live availability.
create_podRent a whole GPU as an interactive pod (root + Jupyter + SSH), prepaid per minute.
get_podPod status + access URL / SSH command / time remaining.
extend_podAdd time to a running pod, no restart.
stop_podStop early; unused prepaid time refunded.
rent_volumeRent an exclusive in-Kingdom persistent volume (10/20/30 GB).
get_volumeActive volume status + usage.

Zero-human quickstart (for agents)

The whole loop runs with no human in it:

  1. register_agent → returns a real api_key + a 20 SAR trial credit (no email click). Set it as DCP_API_KEY.
  2. list_gpus → pick a gpu_type string (e.g. "H100", "RTX 4090") from the live, available types.
  3. create_pod with that gpu_type + duration_minutes → poll get_pod for the access_url / ssh_command once running.
  4. chat → run OpenAI-compatible inference on an available model from list_models.
  5. stop_pod → stop early; unused prepaid minutes are refunded to the wallet.

Minting a key by hand (equivalent to register_agent):

curl -s -X POST https://api.dcp.sa/api/renters/agent-register \
  -H 'Content-Type: application/json' -d '{}'
# → { "api_key": "dcp-renter-…", "trial_credit_sar": 20, "balance_sar": 20, ... }

The trial (20 SAR) is enough to list GPUs, run a short pod, and do real inference; the larger grant stays behind email-verified signup. Calls are per-IP rate-limited.

Environment

  • DCP_API_KEY — renter API key (required for every tool except register_agent).
  • DCP_API_BASE — API host, default https://api.dcp.sa.

Why DCP

Inference, GPU rental, fine-tune hosting, and storage on Saudi-owned hardware inside the Kingdom — full PDPL / data-residency compliance, billed in SAR. The inference API is a drop-in OpenAI replacement: point any OpenAI SDK at https://api.dcp.sa/v1.

Learn more: **https://dcp.sa/v2/agents** · https://dcp.sa/llms.txt

MIT licensed.

الأسئلة الشائعة

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Saudi sovereign AI compute: OpenAI-compatible inference, rent GPU pods, manage storage.

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