Skip to main content
Glama

@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

Related MCP server: Cloud Pilot 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:

  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.

A
license - permissive license
-
quality - not tested
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/dhnpmp-tech/dcp-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server