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Performance Co-Pilot

Query system performance metrics via MCP - CPU, memory, disk I/O, network, processes

Developer Tools stdio pypi pypistdiomajor
RUN IN TERMINAL
claude mcp add major-pcp -- uvx pcp-mcp
ADD TO claude_desktop_config.json
{ "mcpServers": { "major-pcp": { "command": "uvx", "args": ["pcp-mcp"] } } }
ADD TO .vscode/mcp.json
{ "mcpServers": { "major-pcp": { "command": "uvx", "args": ["pcp-mcp"] } } }
ADD TO .cursor/mcp.json
{ "mcpServers": { "major-pcp": { "command": "uvx", "args": ["pcp-mcp"] } } }

About This MCP Server

Query system performance metrics via MCP - CPU, memory, disk I/O, network, processes. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with developer tools capabilities via the stdio transport.

Package

pcp-mcp 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 Performance Co-Pilot server extends your AI assistant with developer tools capabilities. Once installed, your AI can use its tools automatically.

DETAILS
README BADGE
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