MCP Servers

vastai-mcp

MCP server that wraps the Vast.ai REST API to enable LLM agents to search GPU marketplace, rent machines, manage instance lifecycle, run commands, and inspect billing.

README

vastai-mcp

Polski

Vast.ai GPU cloud marketplace and instance management MCP server.

Wraps the Vast.ai REST API (https://console.vast.ai/api/v0) so an LLM agent can search the GPU marketplace, rent machines, manage lifecycle, run commands, and inspect billing.

Tools
Environment variables
Wiring it up
Local run

Tools

Tool	Parameters	Description
`search_offers`	`query: Dict[str, Any]`	Search the GPU marketplace (POST /bundles/)
`search_benchmarks`	`gpu_name: Optional[str] = None`	GPU benchmark data (GET /benchmarks/)
`search_templates`	`select_filters: Optional[Dict] = None`	Search user and public templates (GET /template/)
`get_gpu_metrics`	`gpu_name, verified, datacenter`	Current supply/demand/pricing snapshot
`get_gpu_trends`	`gpu_names, window_hours=24, step`	Historical price/supply time-series
`list_instances`	`label: Optional[str] = None`	List user's instances (GET /instances/)
`get_instance`	`instance_id: int`	Instance details (GET /instances/{id}/)
`create_instance`	`offer_id, image/template_hash_id, disk, runtype, env, onstart, price, ...`	Rent a GPU (PUT /asks/{offer_id}/)
`manage_instance`	`instance_id, action: Literal[...], label?`	start/stop/label/reboot/recycle
`destroy_instance`	`instance_id: int`	Permanently destroy (DELETE /instances/{id}/)
`change_bid`	`instance_id, price: float`	Change spot bid price
`show_instance_logs`	`instance_id, tail=1000`	Request instance logs
`execute_command`	`instance_id, command: str`	Run a remote command
`get_current_user`	none	Current account + credit balance
`raw_request`	`method, path, params?, body?`	Escape hatch for any other endpoint
`register_ssh_key`	`name, public_key_path`	Register a local public key on the Vast.ai account (POST /ssh/)
`list_ssh_keys`	none	List registered SSH keys (GET /ssh/)
`get_instance_ssh_info`	`instance_id`	Resolve `ssh_host`/`ssh_port` + ready-to-run `ssh` command
`ssh_exec`	`instance_id, command, key_path?, user="root", timeout=30`	Run a command over SSH (paramiko)
`ssh_transfer`	`direction: Literal["upload","download"], instance_id, local_path, remote_path, key_path?, user="root"`	SFTP upload/download between local disk and instance

The query body for search_offers follows the Vast.ai filter operator convention: each field maps to {eq, neq, gt, lt, gte, lte, in, notin}. Example:

{
  "gpu_name": {"in": ["RTX 4090"]},
  "num_gpus": {"gte": 1},
  "reliability": {"gte": 0.99},
  "verified": {"eq": true},
  "rentable": {"eq": true},
  "type": "ondemand",
  "limit": 5
}

Environment variables

Variable	Required	Description
`VASTAI_MCP_API_KEY`	yes	Vast.ai API key (https://cloud.vast.ai/manage-keys/)
`VASTAI_MCP_SSH_KEY_PATH`	no	Default path to your SSH private key, used by `ssh_exec` and `ssh_transfer` when `key_path` is not passed per-call

Wiring it up

Only requirement: uv (https://docs.astral.sh/uv/). Nothing else to install.

Claude Code

claude mcp add vastai-mcp -e VASTAI_MCP_API_KEY=<value> -- uvx --from git+https://github.com/dam2452/vastai-mcp.git vastai-mcp

Claude Desktop / other MCP client

{
  "mcpServers": {
    "vastai-mcp": {
      "command": "uvx",
      "args": ["--from", "git+https://github.com/dam2452/vastai-mcp.git", "vastai-mcp"],
      "env": { "VASTAI_MCP_API_KEY": "<value>" }
    }
  }
}

After pushing a new version: uv cache clean and restart the client.

Local run

uv run --directory . vastai-mcp

Tests (manual):

uv run --directory . --with pytest pytest test/

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