@dcp/mcp
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@@dcp/mcpList available GPU types"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
@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-mcpRelated MCP server: Run:AI MCP Server
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 |
| 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 currently-serveable models (OpenAI-style). |
| Run a chat completion (OpenAI-compatible, in-Kingdom). |
| Renter wallet balance (SAR). |
| List rentable GPU types (e.g. |
| Rent a whole GPU as an interactive pod (root + Jupyter + SSH), prepaid per minute. |
| Pod status + access URL / SSH command / time remaining. |
| Add time to a running pod, no restart. |
| Stop early; unused prepaid time refunded. |
| Rent an exclusive in-Kingdom persistent volume (10/20/30 GB). |
| 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.
This server cannot be deployed
Maintenance
Related MCP Connectors
Provides capabilities that let LLM agents perform a range of infrastructure management tasks.
Pay-per-use tool marketplace for AI agents. Search, price-check, and call APIs via MCP.
On-demand GPU nodes for agents: create nodes, run commands, and submit jobs, billed by the minute.
Protocol-native energy infrastructure orchestration for AI data centers. Provides 46 MCP tools across 8 grid protocols (IEC-61850, DNP3, Modbus, OCPP, OpenADR, IEEE 2030.5, IEC 60870-5-104, ICCP) with 5 core API primitives: connect, dispatch, settle, comply, and intel. Enables AI agents to programmatically interact with substations, grid interfaces, and energy assets for real-time workload-grid coordination.
Related MCP Servers
- AlicenseNot gradedqualityCmaintenanceProvides MCP tools for high-performance computing (HPC) and converged computing, enabling agentic interactions with HPC resources and workflows.6MIT
- FlicenseAqualityDmaintenanceEnables LLM agents to control NVIDIA Run:AI infrastructure by dynamically searching and executing over 426 Run:AI APIs through MCP tools.49 npm-
- AlicenseBqualityBmaintenanceEnables AI agents to submit GPU job requests, select eligible workers, track execution, and retrieve results via MCP.1421MIT

Flux Cloud MCP serverofficial
AlicenseAqualityBmaintenanceEnables AI agents to price, deploy, pay for, monitor, update, and cancel applications on a decentralized cloud using a generated key pair, with plain-language specs converted into validated network specifications. Also provides container logs, live instance stats, and network or pricing guidance as read-only tools.1566 npmMIT