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stcmain

whats-running-mcp

whats-running-mcp

Ground truth for agent fleets. An MCP server that tells your AI agent what is actually running on the machine — live agent sessions, listening TCP ports, loaded daemons, system load — read straight from the OS (ps / lsof / launchctl / df), never from docs, transcripts, or memory files.

Why

If you run more than one coding-agent session (Claude Code, Codex, Aider…), you've seen this failure mode: an agent "health-checks" a server that died weeks ago, or confidently reports a daemon as live because an old transcript said so. Model memory is a cache with no invalidation. The OS is the source of truth.

This server started as a shell script (whats-running) I wrote after my own fleet of Claude Code sessions kept reporting stale state as live. Wrapping it in MCP means every session grounds itself the same way, automatically.

Related MCP server: DivLens MCP

Tools

Tool

What it answers

whats_running

Full snapshot in one call — use at session start

agent_sessions

Which agent processes are live? Terminal-attached vs detached/orphan, with pid, uptime, and working directory

listening_ports

Is service X actually up? Every TCP LISTEN socket with owning process

daemons

What persistent services are loaded? launchctl (macOS, non-Apple) or systemd user services (Linux), with optional label filter

system_stats

Load average, uptime, root-disk free space

Install

Register with Claude Code (available in every session):

claude mcp add --scope user whats-running -- npx -y whats-running-mcp

Or in any MCP client config:

{
  "mcpServers": {
    "whats-running": {
      "command": "npx",
      "args": ["-y", "whats-running-mcp"]
    }
  }
}
git clone https://github.com/stcmain/whats-running-mcp.git
cd whats-running-mcp
npm install && npm run build
# then point your client at node /path/to/whats-running-mcp/dist/index.js

Published as whats-running-mcp on npm and as io.github.stcmain/whats-running-mcp in the MCP Registry.

Configuration

Env var

Default

Purpose

WR_AGENT_PATTERNS

claude,codex,aider,cursor-agent,copilot,goose

Comma-separated substrings that mark a process as an "agent" in agent_sessions

Design notes

  • Read-only by construction. Every command is a fixed binary with fixed flags via execFile — no shell, and nothing derived from model input is ever executed. The only model-controlled inputs are a boolean and a substring filter applied in-process.

  • Local information disclosure is the point. The model sees process names, pids, working directories, and ports of your own machine. Don't attach this server to an untrusted client.

  • Best-effort, never blocking. Commands time out at 10s and degrade to empty results rather than erroring the whole snapshot.

Platform: macOS first (my daily driver), Linux best-effort (systemd --user in place of launchctl).

Who makes this

Built by Shift The Culture — we run a one-person company on AI agents and ship the tooling we needed ourselves. This server is free and MIT-licensed, no strings.

This server is the free, standalone piece of a larger multi-agent setup. The rest of that tooling is paid:

  • Agent Fleet Ops Kit ($29) — the other failure modes of running three or four agents on one box: two sessions editing the same checkout, a dev server nobody owns (so the agent tests a different app than it edits), and MCP servers leaked from crashed sessions that hold ports and RAM for weeks.

  • Agent Reliability Kit ($29) — a Stop hook and two CLIs that block a turn when an agent claims "done" against a repo, URL, or build that was never actually checked.

The server above stays free and MIT either way — it has no upsell in it, no telemetry, and no dependency on the paid kits.

License

MIT © Zachary Pampu

Install Server
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license - permissive license
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Maintenance

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Response time
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