local-process-intelligence-server
Local Process Intelligence MCP-Server for monitoring your system
Install / Use
claude mcp add mattialoszach -- npx -y github:mattialoszach/local-process-intelligence-serverIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
OperationsSupported Platforms
Tags
Our assessment of local-process-intelligence-server
local-process-intelligence-server scores 63/100 on our quality scale, 707th of 753 Operations skills we index.
Its MCP Server is 2.6 KB long, split into 6 sections with 4 code examples: a solid amount of guidance for an agent.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 16 months ago. Expect some instructions to reference tool versions or APIs that have since changed.
- Our last check on 2026-09-12 found the source still online.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 63/100, with 4 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
local-process-intelligence-server compared with similar skills
All 4 of these similar skills score higher than local-process-intelligence-server; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| local-process-intelligence-server (this skill)by mattialoszach | 63 | 3 | 16mo ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 95.7k | 3d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 75.0k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.3k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 86.8k | today | MCP Server |
Frequently asked questions
- How do I install local-process-intelligence-server?
- Run
claude mcp add mattialoszach -- npx -y github:mattialoszach/local-process-intelligence-server. The install tabs above show the steps for each supported agent. - Which AI agents does local-process-intelligence-server work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is local-process-intelligence-server safe to use?
- It declares no license and scores 63/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is local-process-intelligence-server still maintained?
- The repository was last updated about 16 months ago. Expect some instructions to reference tool versions or APIs that have since changed.
Skill content
View source on GitHub🧠 Local Process Intelligence MCP Server
This is a local, intelligent monitoring server built for the Model Context Protocol (MCP). It provides deep insight into your system and running processes, enabling a local LLM agent to analyze the machine’s state, perform diagnostics, suggest optimizations, and offer real-time solutions.
<img src="img/img1.png" alt="Screenshot" width="600">[!NOTE]
⚙️ Compatibility
This project was tested on the latest versions of macOS. While most features work reliably on this version, compatibility with other operating systems (Linux/Windows) is not always guaranteed.
What It Can Do
This project provides tools to:
- 🔧 Retrieve a full system summary (OS, CPU, RAM, Disk, Boot Time)
- 📊 Monitor CPU usage in real time
- 💾 Track RAM and swap memory usage
- 💽 Check disk usage (total, used, free, % used)
- 🧩 Analyze top processes sorted by CPU load
- 🔎 Search for running processes by name
- 🌲 Explore the process tree of a given PID
- ⚠️ Detect anomalies like:
- High memory + low CPU (e.g., memory leaks)
- Zombie/defunct processes
- Resource usage spikes above a threshold
- 🧠 Deliver actionable warnings and insights
This allows a local agent to not only observe, but also understand what’s happening on your machine — and provide real-time, specific solutions based on the actual system state.
<img src="img/img2.png" alt="Screenshot" width="600"> <img src="img/img3.png" alt="Screenshot" width="600">🚀 Quick Start
📦 Installation
It is recommended using uv, so make sure you have uv installed. Generally, for more information regarding MCP checkout MCP Python SDK.
Clone this repo then:
uv sync
▶️ Running the Server / Adding to Claude Desktop Config
With uv:
uv run mcp install main.py
Or directly:
mcp install main.py
To test in development mode with logging:
mcp dev main.py
[!NOTE] 🧠 Note: When using Claude Desktop, ensure the app is properly restarted after installing a new server.
Find more information on MCP Quickstart
🚧 Future Work
The project lays the foundation for a powerful local system intelligence layer. In future versions, one could:
- Expand full cross-platform support
- Add background process logging
- Integrate energy usage and thermal monitoring
- Allow custom alert thresholds and scheduled diagnostics
- Let agents make automated corrective actions
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.