"Polars" matching MCP servers:

Provides data preparation, anonymization, and processing tools for AI agents, handling big data with Polars and DuckDB.

Enables AI assistants to answer natural language questions about data in CSV files using Polars filter expressions.

Enables localized file system operations such as listing, reading, editing, creating, deleting, and searching files, scoped to the directory where the server is invoked.

Exposes the Polaris architectural fitness-function control plane's REST API as grouped MCP tools over stdio, letting agents manage tribes, squads, fitness targets and functions, measurement sources, submissions, evaluations, waivers, insights, and events. Handles Google OIDC login and silent token refresh automatically, and submits measurements with an ingest API key.

Model Context Protocol (MCP) server for Polar Lightning that enables AI assistants to manage Bitcoin Lightning Network test environments, including network creation, node management, Bitcoin operations, Lightning channel management, and Taproot Assets.

Enables coding agents to access Language Server Protocol operations such as hover, definitions, references, and rename through typed MCP tools.

Enables AI assistants to query, calculate, and benchmark AWS Partner Polaris training depth levels using CSV data.

Enables users to query Polar health data (activity, sleep, recovery, training sessions, heart rate) through MCP with secure authentication, redacted personal info, and bounded responses.