Process FAQs

Question 1

How do I integrate Process with my AI assistant?

Accepted Answer

After installing the `process-mcp` binary, you configure your MCP client (like Codex or Claude Code) by adding a simple JSON entry to its configuration. This tells your AI assistant how to invoke the 'process' server for its inspection and debugging tasks.

Question 2

What kind of system information can Process retrieve?

Accepted Answer

Process can retrieve detailed system-level information such as hostname, kernel version, system uptime, load averages, CPU core count, and current memory/swap usage, often by directly reading `/proc` for efficiency.

Question 3

What is Process and who is it designed for?

Accepted Answer

Process is an MCP server that empowers AI assistants (like Codex or Claude Code) to inspect, manage, and debug Linux processes, services, and system resources. It's built for developers leveraging AI in their diagnostic and operational workflows.

Question 4

What are 'composed debugging tools' and why are they important?

Accepted Answer

Composed debugging tools are a core differentiator of Process. Instead of chaining multiple single-purpose calls, they allow AI assistants to perform complex, multi-step investigations (e.g., 'port to process to logs') with a single, simplified request, streamlining diagnostics.

Question 5

Can Process monitor hardware like NVIDIA GPUs?

Accepted Answer

Yes, Process includes robust NVIDIA GPU status monitoring. It can report on temperature, utilization, memory usage, power consumption, and even list processes running on the GPU, providing critical insights for performance and debugging.

Process

Process

主要功能

使用案例

主要功能

使用案例