# Groundline (pypi · groundline)

Verifiable test-data analysis: deterministic tools, evidence ledger, number-level checks.

- Trust score: 61/100 (medium)
- Change this week: −20
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- pypi · `groundline`: 61/100 (this document), [markdown](https://verifymcp.io/servers/fhs1220888-groundline/groundline.md), [page](https://verifymcp.io/servers/fhs1220888-groundline/groundline)

## Channel facts

- Registry: `pypi`
- Package: `groundline`
- Version: `0.1.3`
- 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 2026-11-05.

- **Supply Chain Security**: 50/100
  - Malware scan not yet available for this package.
  - 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.
  - 2 of 41 dependencies flagged as unhealthy.
- **Provenance & Transparency**: 19/100
  - Repository check failed: the declared repository URL returned HTTP 404.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 34 days ago).
  - Security-disclosure policy not yet verified: we couldn't inspect the source repository.
- **Schema Quality & AI Usability**: 71/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 357 tokens (~71/item across 5 items; 5 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 100/100
  - No destabilizing schema changes in the last 30 days.
- **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 (20% 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 5 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 5 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 Groundline MCP server?

Groundline runs locally as a PyPI package, launched with uvx groundline. 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 fhs1220888-groundline -- uvx groundline
```

### Cursor

```json
{
  "mcpServers": {
    "fhs1220888-groundline": {
      "command": "uvx",
      "args": [
        "groundline"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "fhs1220888-groundline": {
      "command": "uvx",
      "args": [
        "groundline"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add fhs1220888-groundline -- uvx groundline
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "fhs1220888-groundline": {
      "type": "local",
      "command": [
        "uvx",
        "groundline"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add fhs1220888-groundline --command uvx --arg groundline
```

### Hermes

```yaml
mcp_servers:
  fhs1220888-groundline:
    command: "uvx"
    args: ["groundline"]
```

### Netclaw

```json
{
  "McpServers": {
    "fhs1220888-groundline": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "groundline"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add fhs1220888-groundline -t stdio -c uvx -a groundline
```

### Other

```json
{
  "mcpServers": {
    "fhs1220888-groundline": {
      "command": "uvx",
      "args": [
        "groundline"
      ]
    }
  }
}
```

## 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.

### 2026-11-05 (score 61, −15)

- [security regression] Malware scan: pass → unverified

### 2026-11-04 (score 76, 0)

- [functional regression] Security disclosure: fail → unverified

### 2026-11-03 (score 76, −5)

- [security regression] Source repository: pass → fail

### 2026-11-02 (score 81, 0)

- [functional regression] Security disclosure: unverified → fail

### 2026-11-01 (score 81, 0)

- [functional regression] Security disclosure: fail → unverified

### 2026-10-30 (score 81, 0)

- [security] Stability: 0.97 → pass

### 2026-10-29 (score 81, +16)

- [security improvement] Malware scan: unverified → pass

### 2026-10-27 (score 65, −15)

- [security regression] Malware scan: pass → unverified

## MCP tools (5)

### `open_run` (~63 tokens)

Load a test run (CSV or TDMS). reference.csv / limits.json next to the file are picked up automatically.
Returns a run_id and an overview of the channels.

Input parameters:

- `limits_path`
- `reference_path`
- `run_path` (string, required)

### `list_analysis_tools` (~19 tokens)

List the deterministic analysis tools and their parameter schemas.

Output parameters:

- `result` (array)

### `run_analysis` (~48 tokens)

Run one analysis tool. The call is stored in the evidence ledger; cite the returned evidence_id in findings.

Input parameters:

- `params`
- `run_id`
- `tool` (string, required)

### `verify` (~164 tokens)

Check findings (title, statement, category, severity, channel, t_start, t_end, evidence[]) against the
ledger. Every number in a statement must be present in the cited evidence, with a unit and role that fit
the evidence field it came from (e.g. a number after "peak" must come from a peak field). A finding in an
anomaly category must cite the tool result that reports that anomaly; passed checks are 'observation'.
Tag a number with its source field to have it checked against exactly that field:
"742.3 K [E4.violations[0].peak_value]", "3 spikes [len(E3.issues[0].spikes)]".

Input parameters:

- `findings` (array, required)
- `run_id`

### `write_html_report` (~63 tokens)

Verify the findings and write the HTML report (plus report.json for `groundline reproduce`).

Input parameters:

- `findings` (array, required)
- `lang` (string)
- `out_path` (string, required)
- `run_id`
- `summary` (string, required)

## Diagnostics

Captured diagnostic sections: Provenance, Install scripts, Dependencies. The full working is on the page: https://verifymcp.io/servers/fhs1220888-groundline/groundline#diagnostics

## Score history

- 2026-11-05: 61
- 2026-11-04: 76
- 2026-11-03: 76
- 2026-11-02: 81
- 2026-11-01: 81
- 2026-10-31: 81
- 2026-10-30: 81
- 2026-10-29: 81
- 2026-10-28: 65
- 2026-10-27: 65
- 2026-10-26: 80
- 2026-10-25: 64
- 2026-10-24: 64
- 2026-10-23: 63
- 2026-10-22: 63
- 2026-10-21: 62
- 2026-10-20: 62
- 2026-10-19: 61
- 2026-10-18: 61
- 2026-10-17: 60
- 2026-10-16: 60
- 2026-10-15: 59
- 2026-10-14: 59
- 2026-10-13: 73
- 2026-10-12: 47
- 2026-10-04: 54
- 2026-10-03: 69
- 2026-10-02: 68
- 2026-10-01: 67
- 2026-09-30: 47

## Common questions

### What is the Groundline MCP server?

Groundline is an MCP server listed in the public MCP registry as io.github.fhs1220888/groundline. Verifiable test-data analysis: deterministic tools, evidence ledger, number-level checks. This page covers its PyPI package (groundline).

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

Groundline scores 61 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. 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 Groundline MCP server expose?

Groundline exposes 5 tools: open_run, list_analysis_tools, run_analysis, verify, write_html_report. Their descriptions and schemas cost roughly 357 tokens of context every time the server is loaded.

### Is the Groundline MCP server still maintained?

Groundline is still listed as active in the MCP registry. We last reached this channel on 5 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 Groundline MCP server under?

Groundline 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/groundline/
- Socket report: https://socket.dev/pypi/package/groundline
- Changelog RSS feed: https://verifymcp.io/servers/fhs1220888-groundline/groundline.xml
- Changelog JSON feed: https://verifymcp.io/servers/fhs1220888-groundline/groundline.json
- HTML version of this page: https://verifymcp.io/servers/fhs1220888-groundline/groundline