Analyst Toolkit MCP Server

Example Use Cases

• 1

  Perform end-to-end data quality audits and cleaning with detailed dashboards and reports.

• 2

  Integrate modular data preprocessing tools into automated pipelines via JSON-RPC 2.0.

• 3

  Share and review data audit artifacts through stable browser-accessible links.

Description

The Analyst Toolkit MCP server provides a modular data quality assurance and preprocessing platform that can be run as a Jupyter notebook pipeline, CLI, or as an MCP server with Docker and Google Cloud Storage support. It offers a full dashboard rollout with exportable HTML artifacts for each pipeline module, a unified cockpit hub for navigation, and an optional artifact server for stable browser links. The server supports YAML-configurable logic, checkpointing, and exposes all modules as callable tools to any MCP-compatible host, enabling automated, auditable, and transparent data cleaning workflows.