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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

The io.github.major/pcp server is a developer tool that enables querying of system performance metrics via the Model Context Protocol, providing information on CPU, memory, disk I/O, network, and processes. It connects to the system's performance data through standard input/output interfaces. Developers would use this tool when they need to monitor and analyze system performance metrics, likely for optimizing and troubleshooting their applications.

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
Skills Playground MCP badge
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