"Understanding File Usage" matching MCP servers:

A local, read-only stdio MCP server that lets a Grok Build CLI agent check how much of its weekly SuperGrok / Grok Build usage pool is left, when the period resets, and its Extra Usage cap via tools like get_budget. It reads the existing grok login session and returns per-product figures as JSON, mirroring the TUI /usage screen, so agents can pause before expensive work when quota runs low.

Enables a Claude Code agent to fetch remaining 5-hour and weekly subscription usage limits, reset times, and per-window breakdowns as JSON. It provides the same figures as /usage through a local, read-only tool.

Context window usage estimation for AI coding agents via MCP, enabling proactive state preservation before compaction.

Aggregates and routes multiple MCP servers with intelligent tool recommendation and batch parallel execution, enabling unified access and efficient tool usage.

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

Enables aggregating multiple MCP servers behind a single HTTP/SSE endpoint, with Code Mode to reduce token usage and support for OAuth and sandboxed execution.

A discovery and routing layer for MCP servers that loads tool definitions on demand, reducing token usage by keeping servers out of the context window until needed.

MCP server for inter-agent mailbox communication using file-based mailboxes in .claude directories.

Orchestrates multiple MCP servers through a Deno sandbox, reducing token usage by 99.7% by processing tool calls and returning only compact results.

Enables agents to monitor token/usage limits and persist work checkpoints, allowing them to pause, resume, and track progress across sessions.

Cost-aware, multimodal OpenCode task router and sub-agent MCP server for Claude Code, providing tools for delegation, status, review, revision, abort, models, and usage.

MCP server to temporarily add a global Codex directive requiring Claude Code usage until a configured expiry date, with guardrails and cleanup.

MCP Compass is a discovery and recommendation service that assists AI assistants in finding and understanding Model Context Protocol servers through natural language queries.

An MCP orchestration layer that aggregates multiple MCP servers while exposing only 8 meta-tools, dramatically reducing context window usage, and provides SLOP scripting, event monitoring, and tool customization.

Enables hierarchical orchestration of Claude instances via tmux with a bridge pattern architecture reducing memory usage by 85%.

A Model Context Protocol server that enables Claude Desktop to interact with Google's Gemini 2.5 Pro Experimental AI model, with features like Google Search integration and token usage reporting.

Enables autonomous learning from interactions through pattern recognition and machine learning techniques. Continuously improves performance by analyzing tool usage, providing predictive suggestions, and sharing knowledge across MCP servers.

An MCP gateway that automatically turns Django REST Framework ViewSets into callable MCP tools with zero boilerplate, featuring a token-efficient dispatcher pattern to minimize context usage.

Coordination layer for AI coding agents working on the same codebase. Adds file locks, shared project memory, and cross-machine file sync so Claude Code, Cursor, Windsurf, and other MCP agents stop overwriting each other.

MCP orchestrator that loads modular bricks on demand, reducing AI agent context usage by ~65%.

Enables coordinating Claude Code and Codex across separate Git worktrees with shared issue ownership, file reservations, messages, and explicit handoffs.

Provides a multi-agent collaboration room with real-time messaging, file sharing, and coordination primitives for AI agents.

Enables AI coding agents to check real subscription usage limits and get a go, wait, or reroute decision before starting work.

Enables AI agents to browse websites, record workflows, and generate reusable operation manuals, reducing token usage and execution time for future tasks.

Enables Claude to autonomously drive Firefox by combining Claude's planning with Jev's fast element selection for clicks, navigation, and form actions, reducing latency and token usage.

Aggregates multiple local stdio MCP services into a single HTTP endpoint and launcher-managed local processes, with a mobile-first web console for starting, stopping, monitoring logs, health checks, and usage.

Enables real-time messaging between Claude Code instances, allowing agents to send, receive, and reply to messages instantly via file-based communication with auto-notification.

Enables MCP-compatible AI agents to discover and invoke provider skills with automatic multi-account API key rotation, encrypted key storage, and usage monitoring.

MCP proxy that reduces context usage through semantic tool routing, enabling on-demand discovery and routing of relevant tools.

Enables AI agents to discover and execute over 1,000 developer skills and tools via MCP and WebMCP, with progressive disclosure for efficient token usage.