Autocarver

Qualify dataset columns and process them against a target with AutoCarver, fully on your machine.

Connector by mdefrance · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)★ 11

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Install

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/mdefrance-autocarver

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

Qualify dataset columns and process them against a target with AutoCarver, fully on your machine.

Use cases: data-analysis, data-pipelines

Reviews

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Permissions

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

Tools: 6 read · 3 write · 1 delete · 3 not yet classified
Secrets: None asked for
Install scripts: None found
Runs as: Python package

Tools by what they do 13

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

Read 6 · Look things up without changing anything.

datetime_reference_candidates
evaluate_stability
feature_distribution
list_columns
preview_features
validate_nesting

Write 3 · Create, change, send or run things.

run_carver
save_carver
set_feature

Delete 1 · Delete, drop, revoke or wipe things.

drop_feature

Not yet classified 3 · We could not tell from the name and description.

load_dataset
profile_column
suggest_features

Network hosts it talks to 4

docs.scipy.org · found in code
github.com · found in code
pandas.pydata.org · found in code
web.stanford.edu · found in code

Files it touches

Any path the agent passes to its tools

Tools (13)

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

datetime_reference_candidates
Summarise datetime columns (span + coverage) to help choose a reference.
drop_feature
Remove a column from the feature draft.
evaluate_stability
Score a new dataset against the fitted carver: PSI, chi2 drift, rank inversions.
feature_distribution
Show a column's modality distribution, target rate, and rare-modality flags.
list_columns
List every column with its dtype, cardinality, missingness and suggested feature kind.
load_dataset
Load a .csv/.parquet file as the working dataset; optionally name the target column.
preview_features
Return the current feature draft as {column: spec}.
profile_column
Profile one column: cardinality, missingness, quantiles (numeric) or top modalities.
run_carver
Build Features from the draft and carve them against the target; return the summary.
save_carver
Save the fitted carver and its carved features to a .json file (run run_carver first).
set_feature
Set/override a column's feature kind in the draft (numerical/categorical/ordinal/datetime/nested/ignore).
suggest_features
Fill the feature draft with dtype-based suggestions (skips the target).
validate_nesting
Check that a finest column rolls cleanly into coarser parent columns (many-to-one).

Signals

Stars: 11
Forks: 0
Open issues: 1
Weekly downloads: 234
Last commit: Sep 30, 2026 (1 month ago)
Last release: Oct 25, 2026 (5 days ago)
Last package publish: Sep 30, 2026 (1 month ago)

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

Details

Registry name: io.github.mdefrance/autocarver
Version: 7.8.2
Auth: No auth
Packages: pypi autocarverpypi autocarver
License: MIT
Repository: github.com/mdefrance/AutoCarver
Website: autocarver.readthedocs.io/en/latest/mcp.html
First seen: Oct 24, 2026
Last checked: Oct 26, 2026
Source: Official MCP Registry github-graphql

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Cite this page

Autocarver MCP server. Agent Mart. https://agentmart.dev/connectors/mdefrance-autocarver (last updated 2026-10-26)