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Run OpenAI-compatible inference, rent GPU pods, and manage AI storage.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "io.github.dhnpmp-tech/dcp-mcp" yet — see the docs or source repo.
Write sample code that uses an OpenAI-compatible API to connect to this MCP tool's model inference service, including environment variable setup, a chat request example, and error handling.
A ready-to-use code sample showing how to call the OpenAI-compatible inference endpoint.
Create a GPU pod deployment plan for training a 7B parameter model, including recommended specs, setup steps, cost considerations, and environment initialization commands.
A clear GPU provisioning and configuration plan for quickly starting training or inference workloads.
Design a storage management plan for model weights, training data, and logs, including folder structure, access recommendations, backup strategy, and cleanup rules.
A practical storage organization and governance plan for managing models, datasets, and logs.
Access Saudi property listings, price trends, and real estate market analytics.
Provide encrypted persistent memory for AI agents with secure erasure controls.
Manage GPU inventory, VM lifecycle, billing, SSH keys, and setup recipes.
An OAuth-secured remote MCP server for math and Claude Desktop integration.
Manage Dokploy apps, databases, domains, backups, and servers from one interface.
Provide persistent memory, governance, and cross-device continuity for AI instances.