"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.

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

Audit any website for privacy, security, accessibility, and performance issues — with scores, grades, and actionable fix instructions. No account required.

Enables AI assistants to access and analyze Polar device health data, including exercises, heart rate, sleep, and recovery metrics, by preprocessing raw sensor data into compact summaries to avoid context window overload.

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.

An MCP server for the Polar AccessLink API. Connect your Polar fitness data to Claude AI - access workouts, sleep analysis, recovery metrics, heart rate data, and more.

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 generating 3D models, slicing them with Polar Cloud defaults, and queuing prints from MCP clients.

Local-first MCP server that connects AI agents to your Polar training, sleep, Nightly Recharge and continuous-sample data.

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.

An MCP server for Black Duck Polaris that enables AI coding assistants to trigger scans, manage findings, generate reports, and handle policies across SAST, SCA, and DAST tools.

Enables any MCP-compatible assistant to plan sailing passages using wind and sea forecasts, with boat-specific polars, per-leg ETAs, complexity scores, and deep links to interactive plans. Works globally, with higher-resolution models over France, and supports multi-day departure window comparisons.

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.

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.

MCP server for Polar Signals Cloud continuous profiling platform, enabling AI assistants to analyze CPU performance, memory usage, and identify optimization opportunities in production systems.

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.