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Saudi sovereign AI compute: OpenAI-compatible inference, rent GPU pods, manage storage.
About
Saudi sovereign AI compute: OpenAI-compatible inference, rent GPU pods, manage storage.
Security Report
6.2
Moderate6.2Moderate RiskThis is a well-designed MCP server for DCP's sovereign AI compute platform. Authentication is properly handled with environment variables, all tools appropriately require API keys except the bootstrap registration endpoint, and the codebase is clean with proper error handling. Minor concerns around input validation and logging practices are present but do not constitute security vulnerabilities. Supply chain analysis found 2 known vulnerabilities in dependencies (0 critical, 2 high severity).
3 files analyzed · 6 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
renter API key (required for every tool except register_agent).Required
Environment variable: DCP_API_KEY
API host, default https://api.dcp.sa.Required
Environment variable: DCP_API_BASE
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-dhnpmp-tech-dcp-mcp": {
"env": {
"DCP_API_KEY": "your-dcp-api-key-here",
"DCP_API_BASE": "your-dcp-api-base-here"
},
"args": [
"-y",
"@dcp/mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
@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
| Tool | What it does |
|---|---|
register_agent | Self-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_models | List currently-serveable models (OpenAI-style). |
chat | Run a chat completion (OpenAI-compatible, in-Kingdom). |
get_balance | Renter wallet balance (SAR). |
list_gpus | List rentable GPU types (e.g. H100, RTX 4090) with VRAM + live availability. |
create_pod | Rent a whole GPU as an interactive pod (root + Jupyter + SSH), prepaid per minute. |
get_pod | Pod status + access URL / SSH command / time remaining. |
extend_pod | Add time to a running pod, no restart. |
stop_pod | Stop early; unused prepaid time refunded. |
rent_volume | Rent an exclusive in-Kingdom persistent volume (10/20/30 GB). |
get_volume | Active volume status + usage. |
Zero-human quickstart (for agents)
The whole loop runs with no human in it:
register_agent→ returns a realapi_key+ a 20 SAR trial credit (no email click). Set it asDCP_API_KEY.list_gpus→ pick agpu_typestring (e.g."H100","RTX 4090") from the live, available types.create_podwith thatgpu_type+duration_minutes→ pollget_podfor theaccess_url/ssh_commandonce running.chat→ run OpenAI-compatible inference on an available model fromlist_models.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 exceptregister_agent).DCP_API_BASE— API host, defaulthttps://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.
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