"Information about the Gemini 2.5 Pro" matching MCP servers:

Integrates the local gemini CLI tool with Claude Code, allowing Claude to execute Gemini AI queries via the MCP protocol.

A secure MCP server that wraps the Google Gemini CLI, allowing clients to query Gemini models using local OAuth sessions without requiring an API key. It provides tools for model interaction and diagnostics with built-in protection against command injection.

Wraps the Gemini CLI as an MCP server, enabling AI tools to perform Gemini queries, interactive sessions, and extension management via a unified tool.

ssh-mcp-pro is a secure Model Context Protocol (MCP) server for SSH automation, enabling clients to open SSH sessions, run commands, manage files, transfer artifacts, create tunnels, and perform package/service operations under policy control.

Enables AI assistants to delegate complex tasks to the local Gemini CLI, returning structured results with execution metadata.

MCP server that wraps Gemini CLI as a subprocess, exposing its capabilities as Model Context Protocol tools.

Enables asynchronous and parallel execution of Gemini CLI tasks within Claude Code, allowing background task management and multi-instance parallelism.

Enables AI assistants to programmatically generate Huawei eNSP .topo files that include USG6000V firewalls and S3700 switches, and then, once devices are started in eNSP, deliver configurations, run verification, and diagnose faults over Telnet. Ships with one-click health self-checks and topology-generation skills for natural-language-driven lab setup.

A TypeScript-based MCP server that provides tools to interact with local Codex and Gemini CLIs via stdio transport. It enables users to execute prompts through the ask_codex and ask_gemini tools, supporting custom models and timeout configurations.

MCP server that integrates Google Gemini CLI with AI assistants, enabling large file analysis and natural language queries without an API key.

Integrates Google Gemini AI into Warp terminal workflows through three focused tools: single-turn chat for quick questions, multi-turn conversations with context preservation, and AI-powered code analysis with bug detection and optimization suggestions.

Provides MCP clients with a local gateway to the official command-line tool, enabling headless prompts and structured output while automatically rotating API keys on rate-limit responses so long-running sessions are not interrupted.

Enables AI agents to manage remote servers via SSH, including command execution, multi-host batch operations, SFTP file transfer, background job handling, DevOps diagnostics, port tunneling, and safety guardrails like high-risk command blocking and read-only mode.

Thin MCP server wrapping the Gemini CLI for AI assistants, supporting workspace-aware multi-repository analysis and forward-compatible flags.

Enables AI agents to operate a persistent Linux sandbox in the cloud, running commands, managing files, using Git, and publishing artifacts through a Streamable HTTP MCP endpoint.

An MCP server that lets Claude query Google's Gemini CLI as a sub-agent. Get second opinions, verify information, and cross-reference answers between AI models.

A local AI agent workspace that allows users to interact with simulated data files via custom slash commands and context mentions, powered by Google GenAI SDK and MCP.

Exposes the local Gemini CLI as an MCP stdio server, providing tools for prompting, web search, file operations, and MCP management, enabling AI clients like Codex CLI and Claude Code to interact with Gemini.

Bridges Google's Gemini CLI to MCP-compatible AI assistants, enabling prompt execution, model listing, and raw CLI commands.

Exposes a running Igor Pro instance to MCP clients, enabling command execution, wave data reading, compilation management, and launching/relaunching Igor Pro.