Connect your AI agent to Volspan GPUs using the Model Context Protocol.
The Model Context Protocol (MCP) is an open standard that lets AI agents call external tools. Volspan exposes GPU compute as MCP tools, so any MCP-compatible agent can submit code, check balances, and retrieve results without writing HTTP requests.
Any client that supports the MCP server spec will work.
Edit ~/Library/Application Support/Claude/claude_desktop_config.json on macOS or the equivalent path on your OS.
{
"mcpServers": {
"volspan": {
"command": "npx",
"args": ["-y", "@volspan/mcp-server"],
"env": {
"VOLSPAN_API_KEY": "vc_live_your_key_here"
}
}
}
}Add to your project's .mcp.json at the repo root.
{
"mcpServers": {
"volspan": {
"command": "npx",
"args": ["-y", "@volspan/mcp-server"],
"env": {
"VOLSPAN_API_KEY": "vc_live_your_key_here"
}
}
}
}Edit .cursor/mcp.json in your project root.
{
"mcpServers": {
"volspan": {
"command": "npx",
"args": ["-y", "@volspan/mcp-server"],
"env": {
"VOLSPAN_API_KEY": "vc_live_your_key_here"
}
}
}
}Open Cline settings and add a new MCP server with the same configuration as above.
run_on_gpu
Submit Python code to execute on a GPU. Returns run ID, output, and artifacts.
check_vault_balance
Check your current Vault balance in cents.
get_gpu_run
Get the status and output of a specific run by ID.
list_gpu_runs
List recent GPU runs with their status and cost.
VOLSPAN_API_KEY
Required. Your API key starting with vc_live_.
VOLSPAN_BASE_URL
Optional. Override the API endpoint. Defaults to https://api.volspan.dev.
Need help? Reach out at [email protected]