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"Google Gemini" matching MCP servers:

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    Enables parallel execution of shell commands and AI coding agents (Claude, Gemini, Codex) across lists of items like files or URLs, with batched processing and real-time streaming output for batch operations.
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    Apache 2.0
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    Enables managing Google Cloud Platform resources through natural language commands in Claude Desktop, supporting comprehensive operations across compute, storage, databases, networking, monitoring, and IAM without manual credential setup.
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    Enables interaction with Google Cloud Platform services through gcloud CLI commands via a Cloud Run deployed MCP server. Supports executing gcloud commands and managing GCP resources through natural language.
    MIT
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    Remote MCP / x402 / USDC / Base / Solana / OpenAPI / Google ADK / Gemini Xcatcher is an agent-first Remote MCP server (Streamable HTTP) for high-throughput crawling of fresh/latest posts across large sets of X (Twitter) usernames. It supports x402 pay-as-you-go top-ups using USDC on Base and Solana.
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    MIT
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    Enables managing Google Cloud Platform infrastructure through natural language, including VM deployment, SSH key management, remote command execution, and Terraform infrastructure-as-code operations.
    2
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    Terminal multiplexer MCP server for orchestrating parallel AI agents. Manages workspaces, panes, surfaces with send_input/read_screen/spawn_agent/stop_agent tools. Supports Claude Code, Codex, Gemini, Cursor CLI agents with lifecycle management, browser automation, and agent status push via Claude --channels.
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    Apache 2.0
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    Local-first MCP server for controlling Google Colab as a development, shell, file, and training runtime, with tools for notebook editing, GPU acceleration, and file transfer.
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    Apache 2.0
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    A comprehensive utility MCP server that enables AI assistants to execute system commands, manage files, integrate with Google Sheets and Tasks, perform AI-powered text processing, and load dynamic prompts from markdown files.
    MIT
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    45+ first-class, OS and backend specific MCP tools that let AI coding agents create, manage, read, edit, and write files inside dev containers, keeping your machine clean and your environment reproducible and deploy-friendly. Use local Docker, GitHub Codespaces, Azure, AWS, Google Cloud or Kubernetes seamlessly!
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    MIT
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    The terminal AI agents can drive: a cross-platform desktop terminal (macOS/Linux/Windows, MIT) that runs a local MCP server. Spawn tabs/panes, run commands with structured output, read screens and full scrollback, take scrolling screenshots, record sessions with secret redaction, switch identity profiles. Auto-registers with Claude Code / Codex / Gemini CLI on install.
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