The kill-process-mcp server allows you to manage OS processes using natural language commands through the MCP (Model Context Protocol).
Capabilities:
List Processes: View running processes with advanced filtering options (by name, user, status, CPU/memory thresholds)
Sort Processes: Order by CPU or memory usage (ascending or descending)
Kill Processes: Terminate specific processes by PID
Filtering Options: Include/exclude system processes, limit number of results
Cross-Platform: Works on macOS, Windows, and Linux
Natural Language Integration: Compatible with MCP clients like Claude Desktop for intuitive process management
Supports process management on Linux systems, allowing users to identify and terminate processes through natural language commands.
Enables listing and terminating processes running on macOS systems with filtering by CPU/memory usage, name, user, and other criteria.
Mentioned as an example use case where the MCP can be used to terminate Spotify processes by name.
kill-process-mcp 🔫
Cross-platform MCP (Model Context Protocol) server exposing tools to list and kill OS processes via natural language queries.
Perfect for shy ninjas who just want rogue processes gone!
"Find and nuke the damn CPU glutton choking my system!"
Demo

Tools
The following tools are exposed to MCP clients:
process_list: Lists running processes sorted by CPU or memory with optional name, user, status, CPU/memory thresholds, system-process filtering, sort order and limitprocess_kill: Terminates the selected process (with extreme prejudice!)
Requirements
MCP-compatible LLM client (like Claude Desktop or Cursor)
OS: macOS/Windows/Linux
Python 3.13 or higher
Libraries:
mcppsutil
Installation
You can install kill-process-mcp in two ways:
Preferred: use
uvx- no cloning or setup needed.Alternative: clone the repo and set up manually.
1. Install uv (required for both methods)
Install uv if missing:
In case of the preferred uvx method you can now configure your MCP client (skip the cloning step below).
2. Clone the repo and install (only required for alternative mode, skip for uvx)
Install dependencies:
3. Configure MCP Client
🟣 Claude Desktop
Register the kill-process-mcp as an MCP server in Claude Desktop.
Add the following to claude_desktop_config.json file if you want to use uvx method (recommended):
In case of an alternative manual method using a cloned repo:
Default claude_desktop_config.json location (if the file is missing - create it):
macOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonWindows:
%APPDATA%\Claude\claude_desktop_config.json
Replace /path/to/kill-process-mcp with the actual path of your project folder (remember to escape backslash characters if you're on Windows, e.g.: C:\\path\\to\\kill-process-mcp)
Restart Claude Desktop and it should be able to talk to the kill-process-mcp server.
You can check if the server is loaded by going to Profile → Settings → Connectors.
🟢 Cursor
Register the kill-process-mcp as an MCP server in Cursor.
Open Cursor settings and click Tools & MCP → Add Custom MCP.
Once the mcp.json file opens, add the following if you want to use uvx method (recommended):
In case of an alternative manual method using a cloned repo:
Default mcp.json location:
macOS/Linux:
~/.cursor/mcp.jsonWindows:
%USERPROFILE%\.cursor\mcp.json
Replace /path/to/kill-process-mcp with the actual path of your project folder (remember to escape backslash characters if you're on Windows, e.g.: C:\\path\\to\\kill-process-mcp)
You should be able to talk to the kill-process-mcp server now.
You can check if the server is loaded by going to Cursor settings and clicking Tools & MCP.
Optional: Install a Persistent Shim
If you prefer faster startup or offline use while using the uvx method, you can install a local shim once:
Then change your LLM client config to:
Example Hit Contracts
Here are some example prompts you can use with your MCP-compatible AI assistant when interacting with this MCP server:
Kill the damn process slowing down my system!
Check my top 5 CPU parasites and flag any that look like malware
List the 3 greediest processes by RAM usage
Exterminate every process with Spotify in its name
List Alice's Python processes, max 10 entries
Which processes are over 2% CPU and 100 MB RAM
anything else your imagination brings ...
Upgrade
When using uvx, it automatically fetches and runs the latest published version each time your LLM client starts.
If you're using the alternative manual method with a cloned repo, update with:
Known issues
We do not pin Python. New minor versions are usually supported on day one via wheels.
If you're using the alternative manual method with a cloned repo and you hit a build error (e.g pydantic-core or rpds-py failing with a Rust toolchain message), it usually means the ecosystem is catching up with the latest Python version. In most cases this is temporary and fixed shortly by
upstream packages.
Try a clean rebuild in such case:
If that still fails, temporarily use your previous Python minor version until compatible wheels are published (typically within a few days).
Disclaimer
This MCP server is armed and dangerous. If you snipe the wrong process, that's on you.
Proceed with caution.
Change Log
See RELEASE_NOTES.md for details.
License
Licensed under GPLv3. See LICENSE.
Related MCP Servers
- AsecurityAlicenseAqualityAn MCP server that provides tools for reading, writing, and editing files on the local filesystem.Last updated -1,572Apache 2.0
- Asecurity-licenseAqualityAn MCP server that enables secure execution of shell commands across Windows, macOS, and Linux with built-in whitelisting and approval mechanisms for enhanced security.Last updated -94299MIT License
- -securityAlicense-qualityMCP server that provides computer control capabilities including mouse movements, keyboard actions, screenshot capture with OCR, and window management through a unified API.Last updated -70MIT License
- -security-license-qualityA simple MCP server that provides a terminal tool for executing shell commands with safety features like timeouts and error handling.Last updated -