"sage active" matching MCP servers:

Attaches to your existing Chrome browser to allow Claude to see the active tab, interact via accessibility tree, and detect handoff triggers like 2FA and captchas.

Enables an AI agent to read and operate the Chrome or Edge tabs you are already using — titles, URLs, text, HTML, screenshots, clicks, typing, scrolling, and tab management — via a browser extension and native messaging, without restarting the browser, switching profiles, or opening a debug port. It exposes these capabilities as 19 MCP tools, with access limited to explicitly shared tabs and hardened by per-tab, origin-bound grants plus domain allow/deny lists.

Enables MCP-compatible AI agents and IDEs to send prompts to an active ChatGPT web session and retrieve the completed response without needing an API key.

Connects AI agents to Sagu radars, pings, and artifacts for intelligence operations, enabling radar search, context packet export, and artifact management.

Lets Claude look up your own Claude subscription usage limits — the same 5-hour and weekly percentages shown by /usage — mid-conversation, so it can pace long tasks and warn you before you hit a wall. It reads the local OAuth login, serves a throttled read-only snapshot (cached with graceful fallback), and exposes it as a single get_usage tool.

Enables Alexa+ to retain and recall a lightweight per-user context thread across separate voice interactions, supporting starting, querying, and listing active contexts for continuity.

MCP server that provides cross-session awareness for Claude Code, tracking active sessions, file conflicts, and shared todos to enable agent coordination without blocking tool calls.

Enables discovery and instant communication between multiple local Claude Code instances running across different projects. It allows agents to list active peers, share work summaries, and send messages through a local broker daemon.

Provides local, read-only recommendations for reasoning effort, retry or escalation guidance, and integration boundaries, enabling compatible desktop apps to suggest effort levels without modifying the active conversation.

A considerate, space-aware CLI and MCP server for background browser automation in Zen Browser, allowing terminal agents to control the browser without interrupting the user's active session.

Enables coding agents to scan a public URL in passive or authorized mode and receive only bounded, sanitized structured findings (severity, confidence, standard, evidence, remediation) with quarantined evidence instead of raw page dumps. A second tool lets agents inspect the scanner's safety boundaries and coverage without making any network request.

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.

Coordinates up to 64 parallel expert agents for complex multi-agent orchestration and intelligent task routing within Claude Code. It enables users to analyze requests, manage hierarchical execution plans, and monitor active orchestration sessions.

Enables Grok Build to attach to the user's active Chrome profile via MCP, leveraging the profile's tabs, cookies, and logins instead of launching an isolated browser.

Enables AI assistants to manage Google Antigravity accounts, switch active profiles, and check live AI quotas through natural language.

MCP server for stage-aware, evidence-backed model routing in Codex. It assigns planning, design, development, review, and verification stages to explicit roles while preserving root-agent accountability and live model evidence.

Enables AI to control a real browser through MCP tools for clicking, typing, navigation, screenshots, and more. It supports a follow mode that tracks the active tab, plus fixed mode for controlling specific tabs.

Enables deterministic, step-by-step execution of YAML-defined skills and workflows for AI agents, with progressive disclosure of active-step instructions and tools. It manages workflow state, conditional DAG transitions, loops, and persistent sessions via start_workflow, next_step, and end_workflow.

Enables AI assistants to communicate with each other through natural language commands, exchanging persistent messages across platforms and sessions. It supports registering instances, sending messages, checking inboxes, and listing active instances.

Enables AI assistants to communicate across platforms and sessions by sending persistent messages with simple natural language commands, including registering instances, checking inboxes, and listing active participants.