"A search for information about Whoop (fitness tracker or other usage)" matching MCP servers:

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

AI coding usage analytics — track spend, model usage, and costs across Cursor and Claude Code sessions.

Audits local Claude Code transcripts to show which connected MCP servers are actually used, idle, failing, or awaiting authorization, and recommends which to keep or disconnect.

Exposes rate-limit and usage data for AI coding agent CLIs as MCP tools, enabling querying of usage snapshots and reset times.

Enables retrieving real Claude subscription usage statistics, including the 5-hour session window, weekly limit, and per-model limits, from the same endpoint Claude Code uses.

An MCP server that exposes Claude Code's real-time rate limit usage so that an orchestrator can check remaining capacity before launching subtasks.

An MCP server that provides cross-validated npm dependency fitness verdicts, including deprecation, malicious detection, and safe migration target inference.

Monitors your Cursor usage and provides a conserve flag to the agent, helping you manage request quota by batching questions, preferring defaults, and cutting unnecessary confirmations.

Reports your Claude subscription usage (5-hour and weekly limits) with a forecast and velocity recommendation, using Claude Code's existing OAuth session without requiring an API key.

An MCP server that retrieves GitHub Copilot usage metrics and seat assignment data across Enterprise, Organization, and Team levels. It allows users to monitor code completions, chat activity, and active user counts through integrated tools.

Exposes GitHub Copilot premium request usage as an MCP tool, providing a breakdown by model and cost.

Fetches and tracks Claude.ai usage data including session and weekly limits with automated daily logging and persistent session management. It allows users to monitor their usage history directly through Claude Code integrated tools.

This MCP enables access to Yandex Tracker issue management. Currently it supports all read operations to retrieve queues, issues and users from Yandex Tracker.

An MCP server that retrieves current GitHub Copilot usage data, including quotas, limits, and usage statistics. It allows AI agents to monitor premium interaction status and detailed account usage via raw or formatted summaries.

Token usage tracker for OpenAI and Claude APIs with MCP (Model Context Protocol) support.

MCP server for Yandex Tracker API that provides 146 tools for managing issues, projects, boards, sprints, worklog and more.

A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.

Enables read-only MCP access to Yandex Tracker for retrieving issues with comments and attachment metadata, searching issues, reading issue history, downloading attachments, and finding users. It also supports connection status checks and token configuration without exposing secrets.

Enables interaction with a local SQLite-backed issue tracker, offering full CRUD operations (search, fetch, summarize, create, comment, close/reopen) with team-scoped visibility, authorization, rate limiting, and audit logging.

Enables users to deploy a stateless remote MCP server on Cloudflare Workers and connect it to MCP clients such as Claude Desktop and Cloudflare AI Playground via the mcp-remote proxy.