io.github.mdefrance/autocarver
Qualify dataset columns and process them against a target with AutoCarver, fully on your machine.
MCP server · by mdefrance
About
io.github.mdefrance/autocarver is an MCP server published by mdefrance. Marketplaces we read that list it: 1 (Official MCP Registry). We first saw it on 2026-10-11 and have recorded no change since. As of our marketplace pass on 2026-10-13.
What it asks for
- Runs on your machine
None of the marketplaces we read publishes its tools or the settings it asks for.
What it declares, asks for and runs, in full
Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.
Package
PyPI autocarver (autocarver on PyPI)
- PyPI downloads/week: 384 (2026-10-13)
- PyPI downloads/month: 1 077 (2026-10-13)
- Latest version on PyPI: 7.8.1, published 2026-09-30
No known vulnerabilities in OSV for 7.8.1 (checked 2026-10-13)
PyPI facts come from pypi.org, PyPI downloads from pypistats.org. Each figure is the registry's own and is never added to another. A registry that publishes no figure shows none: no number is not zero. Vulnerability records come from OSV.dev (CC BY 4.0) and concern the declared version only; a listing that declares no version gets no answer. We do not scan code.
Works with
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
A one-click link opens the client, which asks you to confirm before it adds the server.
From the marketplaces that list it and the MCP transport it declares, as each client documents them. We do not test plugins.
Connect
Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.
As a local MCP server: PyPI package
Built from what Official MCP Registry declares.
claude mcp add --transport stdio autocarver -- uvx -m AutoCarver.mcp autocarver[mcp_servers.autocarver]
command = "uvx"
args = ["-m", "AutoCarver.mcp", "autocarver"]{
"mcpServers": {
"autocarver": {
"command": "uvx",
"args": [
"-m",
"AutoCarver.mcp",
"autocarver"
]
}
}
}Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Official MCP Registry (Open the registry record) | Listed | 7.8.1 | Downloads/month (PyPI): 1 077 Downloads/week (PyPI): 384 Forks (GitHub): 0 Stars (GitHub): 11 |
Not marked |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
What changed
Nothing has moved on this plugin since we started watching it.
Similar plugins
Products whose own names, descriptions, tools and skills are closest in meaning to this one, on every marketplace we read. Closeness is ranked within this list only.
-
csv-analytics-mcp io.github.CSOAI-ORG/csv-analytics-mcp
Csv Analytics MCP Server by MEOK AI Labs
-
Give your AI a research team. Forecast, score, classify, or research every row of a dataset.
-
mcp-utils io.github.followtz/mcp-utils
Data processing tools: CSV, cleaning, stats, image, report, save, shell
-
dingdawg-data-agent io.github.dingdawg/dingdawg-data-agent
AI data agent — schema analysis, query optimization, PII detection, pipelines.
-
syntitan-mcp ai.syntitan/syntitan-mcp
AI-Ready Data Platform that fills the missing layer between data management and AI execution.
-
Mini Data Engine Runtime Copilot
MCP runtime copilot for health checks, regressions, explainability, and operational memory.
-
mcp co.axiom/mcp
List datasets, schemas, run APL queries, and use prompts for exploration, anomalies, and monitoring.
-
xplainable-mcp-server io.github.xplainable/xplainable-mcp-server
Train, explain, optimise and deploy transparent glass-box ML models via workflow tools.
-
dataprivacy-ai-mcp io.github.CSOAI-ORG/dataprivacy-ai-mcp
Dataprivacy Ai MCP Server by MEOK AI Labs
-
datanika-mcp io.datanika/datanika-mcp
Read-only-by-default MCP for Datanika: browse data, run dbt transforms, manage ELT pipelines.
Similar plugins by marketplace
The same question asked of one marketplace at a time: is there an analog of this plugin there?
Has a listing on Claude Code: claude-plugins-community (5)
-
Build high-quality datasets and computer vision models. Visualize datasets, analyze models, find duplicates, run inference, evaluate predictions, and develop custom plugins.
-
End-to-end data analysis workflow plugin for Claude Code. Covers the full pipeline from EDA to model training - EDA, preprocessing, statistical analysis, feature engineering, and…
-
DataRobot Agent Skills - Agentic skills for DataRobot enterprise AI and ML workflows. Covers model training, deployment, predictions, feature engineering, monitoring…
-
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
-
Train sklearn models (MLP, Random Forest, Linear Regression), export weights to JSON, and generate pure TypeScript inference code with zero npm dependencies. Handles the full…
Has a listing on Claude Code: claude-plugins-official (5)
-
Build high-quality datasets and computer vision models. Visualize datasets, analyze models, find duplicates, run inference, evaluate predictions, and develop custom plugins.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Build, train, and deploy AI models with deep AWS AI/ML expertise brought directly into your coding assistants, covering the surface area of Amazon SageMaker AI.
-
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
Has a listing on Claude: knowledge-work-plugins (5)
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
Hosted MCP server for AI-assisted Grafana Cloud observability — no local installation required.
-
Atlan data catalog plugin for Claude Code. Search, explore, govern, and manage your data assets through natural language. Powered by the Atlan MCP server with semantic search…
Has a listing on Codex: openai-curated (openai/plugins) (5)
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Answer product and business questions with data
-
CrowdStrike Falcon Foundry development skills for building cybersecurity applications on the Falcon platform. Includes UI development, collections, functions, workflows, API…
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
Has a listing on Community GitHub marketplaces (5)
-
Exactly explainable classifiers for agents: train, tune, predict, explain on CSV or Excel.
-
Automated AI research toolkit: hypothesis generation, experiments, and paper writing
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Add a predictive feature with Aito where it fits, and say so where it does not: a fit check, a schema from your table, a threshold checked on held-out rows, and the aito MCP…
-
Build, train, and deploy AI models with deep AWS AI/ML expertise brought directly into your coding assistants, covering the surface area of Amazon SageMaker AI.
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
Complete toolkit for building Model Context Protocol (MCP) servers in TypeScript/Node.js using the official SDK. Includes instructions for best practices, a prompt for generating…
-
Complete toolkit for building Model Context Protocol (MCP) servers in Go using the official github.com/modelcontextprotocol/go-sdk. Includes instructions for best practices, a…
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
Has a listing on Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
Complete bundle: all Microsoft Skills for Fabric for developers and consumers.
Has a listing on Cursor: cursor/plugins (5)
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Build apps, scripts, and automations with the TypeScript SDK.
-
Explore datasets and tables and run SQL queries.
-
Inspect and manage feature gates, experiments, dynamic configs, and metrics.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
Has a listing on Docker MCP Catalog (5)
-
Keboola MCP Server is an open-source bridge between your Keboola project and modern AI tools.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
testkube-mcp io.github.kubeshop/testkube-mcp
MCP server for Testkube - Manage test workflows, executions, and artifacts via AI assistants
-
schemacrawler-ai io.github.schemacrawler/schemacrawler-ai
Enables natural language schema queries — explore tables, keys, procedures, and get SQL help fast
-
Giving Claude ability to run code with E2B via MCP (Model Context Protocol).
Has a listing on Official MCP Registry (5)
-
csv-analytics-mcp io.github.CSOAI-ORG/csv-analytics-mcp
Csv Analytics MCP Server by MEOK AI Labs
-
Give your AI a research team. Forecast, score, classify, or research every row of a dataset.
-
mcp-utils io.github.followtz/mcp-utils
Data processing tools: CSV, cleaning, stats, image, report, save, shell
-
dingdawg-data-agent io.github.dingdawg/dingdawg-data-agent
AI data agent — schema analysis, query optimization, PII detection, pipelines.
-
syntitan-mcp ai.syntitan/syntitan-mcp
AI-Ready Data Platform that fills the missing layer between data management and AI execution.
Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.
Is this your plugin?
Add it to your projects and prove you maintain it with a file in its repository, a file on your domain or a DNS record. You get alerts when a marketplace lists it, drops it, changes its verified mark or what it asks for, and its remote endpoint goes on monitoring as a web service.
Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.