# Headroom (pypi · headroom-pc)

Watch RAM and disk on your Windows PC. Cleanup tools return plans only.

- Trust score: 83/100 (high trust)
- Change this week: +19
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-04

## Components

- pypi · `headroom-pc`: 83/100 (this document), [markdown](https://verifymcp.io/servers/jasdish-singh-headroom/headroom-pc.md), [page](https://verifymcp.io/servers/jasdish-singh-headroom/headroom-pc)

## Channel facts

- Registry: `pypi`
- Package: `headroom-pc`
- Version: `0.1.1`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-11-04.

- **Supply Chain Security**: 100/100
  - No malware found by supply-chain analysis.
  - No known CVEs affecting this package version or its production dependencies.
  - Runs setuptools.build_meta at install time, a recognised build step with no custom scripting around it.
  - 1 of 30 dependencies flagged as unhealthy.
- **Provenance & Transparency**: 100/100
  - Source repository is publicly reachable at the declared URL.
  - Cryptographically verified build provenance (signed, bound to Jasdish-Singh/headroom).
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 8 days ago).
  - Publishes a security disclosure policy (SECURITY.md).
- **Schema Quality & AI Usability**: 75/100
  - 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (fair).
  - Tool/resource definitions use about 322 tokens (~26/item across 12 items; 12 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 71/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 12 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 13 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a current MCP spec version (2026-07-28).

## Install

### How do I install the Headroom MCP server?

Headroom runs locally as a PyPI package, launched with uvx headroom-pc. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add jasdish-singh-headroom -- uvx headroom-pc
```

### Cursor

```json
{
  "mcpServers": {
    "jasdish-singh-headroom": {
      "command": "uvx",
      "args": [
        "headroom-pc"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "jasdish-singh-headroom": {
      "command": "uvx",
      "args": [
        "headroom-pc"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add jasdish-singh-headroom -- uvx headroom-pc
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "jasdish-singh-headroom": {
      "type": "local",
      "command": [
        "uvx",
        "headroom-pc"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add jasdish-singh-headroom --command uvx --arg headroom-pc
```

### Hermes

```yaml
mcp_servers:
  jasdish-singh-headroom:
    command: "uvx"
    args: ["headroom-pc"]
```

### Netclaw

```json
{
  "McpServers": {
    "jasdish-singh-headroom": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "headroom-pc"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add jasdish-singh-headroom -t stdio -c uvx -a headroom-pc
```

### Other

```json
{
  "mcpServers": {
    "jasdish-singh-headroom": {
      "command": "uvx",
      "args": [
        "headroom-pc"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-11-04 (score 83, +1)

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-11-02 (score 82, +3)

- [functional improvement] Stability: unverified → 0.20

### 2026-10-30 (score 79, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-10-27 (score 64)

First indexed and scored.

## MCP tools (12)

### `status` (~22 tokens)

Read RAM, commit, and free disk space. Does not change anything.

Output parameters:

- `result` (string)

### `top` (~28 tokens)

List the processes using the most RAM. Does not stop any process.

Input parameters:

- `count` (integer)

Output parameters:

- `result` (string)

### `scan` (~27 tokens)

List the largest entries under a folder. Links are not followed.

Input parameters:

- `path` (string, required)

Output parameters:

- `result` (string)

### `analyze` (~31 tokens)

Categorize files under a folder. Does not save, move, or delete them.

Input parameters:

- `path` (string, required)

Output parameters:

- `result` (string)

### `report` (~13 tokens)

Show the latest history report.

Output parameters:

- `result` (string)

### `changes` (~23 tokens)

Show folders that grew and new large files.

Input parameters:

- `since` (string)

Output parameters:

- `result` (string)

### `dupes` (~22 tokens)

Group duplicate files without moving them.

Input parameters:

- `path` (string, required)

Output parameters:

- `result` (string)

### `startup_list` (~20 tokens)

List startup entries and estimated RAM. Does not disable any.

Output parameters:

- `result` (string)

### `review_list` (~17 tokens)

Show toss suggestions. Does not move them.

Output parameters:

- `result` (string)

### `clean` (~19 tokens)

Preview allowlisted cache cleanup. Does not delete those files.

Output parameters:

- `result` (string)

### `move` (~18 tokens)

Describe files headroom review could move. Moves nothing.

Output parameters:

- `result` (string)

### `startup_disable` (~26 tokens)

Describe one startup entry. Does not disable it.

Input parameters:

- `entry_id` (string, required)

Output parameters:

- `result` (string)

## Diagnostics

Captured diagnostic sections: Provenance, Install scripts, Dependencies. The full working is on the page: https://verifymcp.io/servers/jasdish-singh-headroom/headroom-pc#diagnostics

## Score history

- 2026-11-04: 83
- 2026-11-03: 82
- 2026-11-02: 82
- 2026-11-01: 79
- 2026-10-31: 79
- 2026-10-30: 79
- 2026-10-29: 64
- 2026-10-28: 64
- 2026-10-27: 64

## Common questions

### What is the Headroom MCP server?

Headroom is an MCP server listed in the public MCP registry as io.github.Jasdish-Singh/headroom. Watch RAM and disk on your Windows PC. Cleanup tools return plans only. This page covers its PyPI package (headroom-pc).

### Is the Headroom MCP server safe to use?

Headroom scores 83 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 4 November 2026. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the Headroom MCP server expose?

Headroom exposes 12 tools: status, top, scan, analyze, report, and 7 more. Their descriptions and schemas cost roughly 266 tokens of context every time the server is loaded.

### Is the Headroom MCP server still maintained?

Headroom is still listed as active in the MCP registry. We last reached this channel on 4 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

### What licence is the Headroom MCP server under?

Headroom declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.

## Links

- PyPI project: https://pypi.org/project/headroom-pc/
- Socket report: https://socket.dev/pypi/package/headroom-pc
- Repository: https://github.com/Jasdish-Singh/headroom
- Changelog RSS feed: https://verifymcp.io/servers/jasdish-singh-headroom/headroom-pc.xml
- Changelog JSON feed: https://verifymcp.io/servers/jasdish-singh-headroom/headroom-pc.json
- HTML version of this page: https://verifymcp.io/servers/jasdish-singh-headroom/headroom-pc