claude mcp add commcparmory-runpod -- uvx mcparmory-runpod
{
"mcpServers": {
"commcparmory-runpod": {
"command": "uvx",
"args": ["mcparmory-runpod"]
}
}
}
{
"mcpServers": {
"commcparmory-runpod": {
"command": "uvx",
"args": ["mcparmory-runpod"]
}
}
}
{
"mcpServers": {
"commcparmory-runpod": {
"command": "uvx",
"args": ["mcparmory-runpod"]
}
}
}
About This MCP Server
The com.mcparmory/runpod server is a tool for launching, scaling, and managing GPU pods and serverless endpoints across different regions, enabling developers to deploy and manage AI workloads efficiently. It connects to the Model Context Protocol and is accessible via standard input/output interfaces, making it a useful option for developers working with AI coding assistants. Developers would reach for this tool when they need to manage and scale their AI deployments across multiple regions.
Launch, scale, and manage GPU pods and serverless endpoints across regions. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with other capabilities via the stdio transport.
Package
mcparmory-runpod on pypi
HOW TO USE
Select your AI client above to get the install command. This MCP server uses the stdio transport and is available on pypi.
What tools does it provide?
The runpod server extends your AI assistant with other capabilities. Once installed, your AI can use its tools automatically.
