"Polars" matching MCP servers:

A FastMCP tool to search and retrieve Polars API documentation with support for multiple transport methods.

Enables querying and analyzing blockchain data from Dune Analytics with Polars-optimized workflows, including schema discovery, Sui package exploration, and query management through natural language.

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.

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.

A server that enables AI assistants to access Polarsteps travel data, allowing queries about user profiles, trip details, travel statistics, and natural language search through travel histories.

Enables local AI agents on the same machine to exchange messages asynchronously through mailboxes, with tools for registering, sending, replying, checking, broadcasting, and waiting for messages without polling or cloud services.

Enables AI assistants to audit data governance, check access control roles, query namespaces, and inspect Iceberg metadata.

Enables LLM clients to analyze numerical data series (NumPy, Pandas, Polars, lists) and receive token-efficient natural-language summaries of trend, volatility, anomalies, seasonality, and data quality instead of raw values. Supports single-series analysis, batch processing of multiple series, and structured JSON output.

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

Minimal MCP server connecting Polar AccessLink to Claude, enabling retrieval of exercises, sleep, and nightly recharge 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.