"Information about Grok" 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 Grok CLI to control your already-running Brave browser via Chrome DevTools Protocol, allowing tab management, clicking, typing, navigation, and screenshots using your existing session and logins.

Enables OpenAI Codex to invoke the local Grok CLI as a second agent for code review, planning, design documents, PR babysitting, and media creation via MCP tools.

A local, read-only MCP bridge that lets OpenAI Codex ask your authenticated Grok Build CLI for a second opinion without copying API keys into Codex.

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 Codex to use Grok Build CLI as a controlled subagent via MCP tools for independent investigation, review, and isolated implementation tasks.

Enables a coding agent to resolve technical clarification questions by automatically requesting answers from Claude Sonnet and Codex, comparing them with an OpenAI judge, and returning the selected answer to Grok.

An MCP server that enables multiple AI models (ChatGPT, Gemini, Claude, Grok) to discuss, debate, and reach consensus via browser automation.

Local MCP server that lets Claude Code delegate bounded, read-only tasks to external AI models (Codex, Grok, local OpenAI-compatible servers) via CLIProxyAPI.

Enables agent managers to launch and supervise Antigravity CLI, Claude Code, CodeBuddy Code, or Grok CLI as subagents through local MCP tools for starting, waiting on, and cancelling invocations.

Enables AI assistants to create council hearings where multiple LLMs (Claude, GPT, Gemini, Grok) debate topics and synthesize verdicts with trust scores and diverse perspectives.

Bridges remote MCP clients like Cursor, Grok Bot, and Claude Desktop to a locally running Grok Build agent over ACP/WebSocket, enabling session creation, prompting, cancellation, and status checks through standard MCP tools.

Provides AI assistants with real-time access to the AGNO framework documentation by enabling them to browse, search, and fetch documentation pages. This server allows users to query information about AGNO's Agents, Teams, and Workflows directly through MCP-compatible clients.

Lets MCP-aware agents consult rival LLMs mid-conversation, sending questions to a specific provider or fanning out to OpenAI, Gemini, Anthropic, and xAI/Grok in parallel for second opinions.

Concord MCP allows Claude Code, Codex, Cursor, Grok Build and Gemini to message each other in real time.

Enables developers to capture verbatim conversation turns, implementation plans, task lists, modified files, terminal errors, and uncommitted git state from one AI coding agent and inject or hand them off to another with a single command. It works across Claude Code, Antigravity, OpenAI Codex, and Grok Build CLI on Linux, macOS, and Windows.

An MCP server that lets an AI client send messages to and hold multi-turn conversations with other AI models such as Claude, GPT, and Grok, switching providers per call and persisting each conversation to disk.

Ask Codex, Gemini, Grok, and 400+ OpenRouter models (Qwen, Kimi, DeepSeek) for second opinions or arbiter-mediated consensus. One MCP server for Claude Code, Codex, Cursor, Kiro, OpenCode. Measures which models earn their seat.

Enables AI agents to consult with multiple AI models (GPT, Gemini, Grok, etc.) through OpenRouter with intelligent auto-selection, conversation history, and caching. Allows your AI assistant to seek expert opinions from specialized models for different tasks like coding, analysis, or general questions.

A persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.