Terradev MCP Server
io.github.theoddden/terradev
Cross-cloud GPU orchestration and resource management from the CLI.
What is the Terradev MCP server?
Terradev is a cross-cloud GPU orchestration MCP server that enables CLI-based management of GPU resources across multiple cloud providers. It allows you to provision, monitor, and orchestrate GPU workloads without vendor lock-in.
Terradev provides command-line tools for orchestrating GPU compute resources across different cloud platforms. Use it to manage GPU allocation, job scheduling, and resource optimization in a cloud-agnostic way.
How to install Terradev
Copy-paste configuration for popular MCP clients.
RUNPOD_API_KEYsecretRunPod API key — get at runpod.io/console/settings/api-keys
VAST_API_KEYsecretVast.ai API key — get at console.vast.ai/api-keys
LAMBDA_API_KEYsecretLambda Labs API key — get at cloud.lambdalabs.com/api-keys
HF_TOKENsecretHuggingFace API token — get at huggingface.co/settings/tokens
AWS_ACCESS_KEY_IDsecretAWS access key ID (pair with AWS_SECRET_ACCESS_KEY)
AWS_SECRET_ACCESS_KEYsecretAWS secret access key
GOOGLE_APPLICATION_CREDENTIALSPath to GCP service account JSON key file
TERRADEV_MCP_BEARER_TOKENsecretBearer token for SSE/remote transport mode (stdio mode does not require this)
Use cases
- Provision GPU resources across multiple cloud providers from a single interface
- Monitor and manage GPU workload distribution and utilization
- Optimize GPU resource allocation and cost across cloud platforms
- Schedule and orchestrate distributed GPU compute jobs
- Automate GPU infrastructure provisioning and scaling
Terradev MCP server FAQ
Terradev is a cross-cloud GPU orchestration CLI that lets you manage GPU resources across multiple cloud providers without vendor lock-in.
The README does not specify pricing details. Check https://github.com/theoddden/Terradev for current information.
Install via PyPI with `pip install terradev-cli` or connect remotely via the SSE endpoint at https://terradev-mcp.terradev.cloud/sse.
The README does not list specific supported cloud providers. Refer to the repository documentation for details.
The README does not specify authentication requirements. Check the repository for setup and credential configuration details.
Yes, you can configure it as an MCP server in Cursor or Claude using the PyPI package or the remote SSE endpoint.
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