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Groundline

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

Connector by fhs1220888 · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)
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Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/fhs1220888-groundline

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

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

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools
2 read · 2 write · 0 delete · 1 not yet classified
Secrets
None asked for
Install scripts
Not scanned yet
Runs as
Python package

Tools by what they do 5

Read from the source code; the running server may list different tools.

Read 2 · Look things up without changing anything.

  • list_analysis_tools
  • verify

Write 2 · Create, change, send or run things.

  • open_run
  • write_html_report

Not yet classified 1 · We could not tell from the name and description.

  • run_analysis

Tools (5)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • list_analysis_tools

    List the deterministic analysis tools and their parameter schemas.

  • open_run

    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.

  • run_analysis

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

  • verify

    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)]".

  • write_html_report

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

Signals

Stars
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Forks
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Open issues
0
Weekly downloads
51
Last commit
Oct 14, 2026 (14 days ago)
Last release
Oct 2, 2026 (26 days ago)
Last package publish
Oct 2, 2026 (26 days ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name
io.github.fhs1220888/groundline
Version
0.1.3
Auth
No auth
Packages
pypi groundline
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Cite this page

Groundline MCP server. Agent Mart. https://agentmart.dev/connectors/fhs1220888-groundline (last updated 2026-10-24)