"Understanding Browser Usage and Functionality" matching MCP servers:

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

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

A zero-dependency Node.js playground for debugging how MCP clients authenticate to an MCP server over HTTP.

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.

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.

An MCP server that analyzes local or remote GitHub repositories, providing intelligent code context and structure to AI coding assistants.

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 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.

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.

An MCP Server that enables interaction with Google's Service Usage API, allowing management and control of which Google Cloud Platform APIs and services are enabled for a project.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Enables AI assistants to control headless Chromium directly over the Chrome DevTools Protocol through nine MCP tools, covering navigation, text extraction, screenshots, console capture, accessibility snapshots, clicking, typing, waiting, and scrolling. It runs without Puppeteer or Playwright and is built for ARM64 and resource-constrained environments, with lazy browser launch and idle shutdown.

Enables local browser inspection and explicitly approved interaction with configurable capture profiles, bounded responses, network policy, and operator-controlled capabilities.

An MCP server that provides AI coding assistants with comprehensive browser automation and debugging capabilities using Playwright, including visual inspection, DOM debugging, and execution monitoring.

Exposes Registry Browser operations (embed, de-embed, publish, create packages) as MCP tools for AI agents and IDE integrations to manage Unity packages programmatically.

Bridges browser content, developer tools data, and web page interactions with Claude through MCP. Enables page inspection, DOM analysis, JavaScript execution, console monitoring, network activity tracking, and screenshot capture across multiple browser tabs.