"Actual Budget" 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.

Enables Claude Code to control your actual logged-in Chrome browser through an MV3 extension, perceiving pages as element tables and performing actions such as navigation, clicks, typing, and assertions via CDP.

MCP server for priority-weighted token budget management in multi-agent LLM systems, enabling dynamic reallocation of unused tokens between agents based on priority and current spend.

Enables Claude Code to offload bulk tasks to cheap OpenRouter worker models via tiered model selection, parallel batch execution, daily budget caps, and cost logging.

MCP server for Decixa that helps AI agents find and resolve APIs for tasks using natural language intents, with support for budget and latency filtering.

A broker that queues agent requests (plans, questions, FYIs) and batches them by urgency into proposed meetings, leaving actual calendar booking to an attached calendar MCP.

Enables agents to discover, suggest, bind, and read local SKILL.md skills via MCP, while enforcing a maximum of three bound skills and a token budget to keep context small.

NexaLayer MCP Server — a Model Context Protocol server that lets AI agents create and manage dynamic and static proxy sessions with budget guardrails.

Enables AI agents to take real professional decision cases, search reference libraries and rulebooks, submit a decision, and receive an exact score against the professional's actual outcome.

Routes your AI tasks to the best available model across 20+ providers — automatically selecting based on task type, budget, and subscription pressure. Supports text, image, video, and audio with built-in cost optimization and fallback chains.

Enables AI-powered web searches using Google's Gemini 2.5 models with Google Search Grounding. Supports multiple Gemini models (Flash, Flash-Lite, Pro) with configurable thinking budget and web search capabilities.

A Model Context Protocol server that enables AI-powered interaction with YNAB (You Need A Budget) data, allowing users to query their budgets through conversational interfaces.

MCP server that routes AI chat requests to the best available provider (Anthropic, OpenAI, Groq, etc.) with automatic fallback, budget caps, and model-tier routing.

Enables AI coding agents to self-assign, coordinate, review, and ship work through GitHub Projects v2, with AI-powered PRD generation, sprint planning, issue triage, and token-budget enforcement.

Enables AI agents to pre-flight estimate query costs, enforce hard budgets, reconcile actual billed spend, and suggest cheaper rewrites across BigQuery, Snowflake, and Databricks.

Control-plane proxy that sits in front of MCP servers, enforcing per-identity policy (YAML/OPA/Cedar), budget limits, and an audit trail on every call. Includes real-time anomaly detection that auto-blocks a compromised agent without a human in the loop.

Enables AI assistants to control and inspect the user's actual Chrome browser via MCP, preserving login sessions and isolating agent tasks in background tab groups without disrupting the user's workflow.

Enables LLM clients to select the most relevant MCP tools from a catalog within a context-token budget, without executing them or shipping keys.

Enables local, read-only Laya typed decisions for Codex, providing classification, scoring, truth-probability, batch decision, and token-budget planning tools on Apple Silicon.