"MCP tools for monitoring application memory and CPU usage" matching MCP servers:

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.

Turns a codebase into a persistent knowledge graph so AI coding agents can answer structural questions about functions, call chains, routes, and cross-service links through graph queries instead of reading files one by one.

Provides read-only visibility into local CPU pools and Apple GPU lane usage inside Claude Code and Codex.

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.

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.

Connects AI agents to live observability stacks including Sentry, GitHub, Vercel, Better Stack, and Cloudflare, enabling end-to-end incident investigation, deployment correlation, root cause analysis, and regression triage.

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

Gives the model visibility into the same 5-hour session, weekly, and per-model usage percentages shown in Claude Code, along with reset times. It also lets a project cap how much of the weekly limit may be spent via start/check/end budget tools that report OK, LOW, or OVER_BUDGET.

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.

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.

A local MCP server that enables AI applications like Claude Desktop to securely access and work with Obsidian vaults, providing capabilities for reading notes, executing templates, and performing semantic searches.

Auto-captured, auto-recalled, path-scoped memory for AI coding agents and teams.

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

Local, searchable project memory for AI coding agents. Markdown source of truth, MCP interface, safe structured updates