"Information about Gemini code" matching MCP servers:

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.

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

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

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.

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

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.

A transparent message ferry between Claude Desktop and Claude Code CLI, enabling task delegation with any MCP configuration without the bridge needing to know about specific MCPs.

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.

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.

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

MCP server for overseer.nvim — gives any MCP-capable coding agent running inside Neovim (Claude Code, Codex, Gemini CLI, opencode) the same visibility and control over tasks the user has: list, run, tail, restart, stop. Agent-started dev servers land in the user's own task list instead of becoming invisible orphaned processes.

A Claude Code MCP server and skill that enables delegation of prompts to agy (Antigravity/Gemini) CLI for model queries, conversation management, authentication, and image generation.

Enables AI assistants to understand lab topologies, follow operational principles, and interact with real network devices through observable terminals while keeping private access information hidden.

Enables a coding agent to get short, token-efficient answers about a project through grouped searches, focused symbol or section reads, and bounded read-only script output, with safety limits on paths, secrets, commands, and response size.

Developers: Search your zsh, bash, or fish shell history from Claude Code, Cline, Cursor, Zed, or any MCP client using tools like search_history (full-text with timestamp/CWD/exit code), recent_in_dir, failed_commands, and command_chains for multi-step sequences. Reindex after new activity. Local-only SQLite FTS5 with secrets redacted before storage.

Resilient multi-CLI orchestration server for AI agents that routes tasks to Claude, Gemini, or Codex with automatic retry, circuit breaker, and fallback.

Provides a secure interface to run Anthropic's Claude Code CLI as an MCP server, enabling task execution, persistent memory, and integration with MCP-enabled IDEs.

Enables a coding-agent session to exchange messages with another machine's session over SSH, returning replies and maintaining per-peer conversation history across calls without a cloud relay or extra API keys.

mcp-node-zig is an MCP server for remote machines. Drop it on a build box, a homelab server, a Windows host or a VPS, and any MCP client can run commands, drive long-running processes and read and write files there over one authenticated HTTP endpoint.

A stdio MCP server that lets Codex Desktop/CLI delegate implementation tasks to Claude Code CLI with workspace validation, Git status checks, and session resume capabilities.

A minimal MCP server that exposes a single tool to query local hardware information (OS, CPU, memory, architecture).

A controlled Model Context Protocol bridge that lets OpenAI Codex delegate work to Google Antigravity CLI on demand, with project-scoped opt-in and read-only delegation.

Enables AI assistants to execute code in isolated sandboxes with support for Python, JavaScript, and TypeScript, featuring intelligent caching and semantic search for code reuse.

An MCP server that intelligently filters and compresses tool outputs to reduce context window usage, saving up to 90% of tokens by removing noise such as passing tests and redundant information.

Bridges the OpenAI Codex CLI app-server to MCP clients, letting agents launch and resume Codex coding sessions within a chosen workspace under configurable sandbox and approval policies. It exposes tools for sending prompts, long-polling task progress and live command output, approving or canceling runtime requests, and listing or reading past session history.

An MCP server that lets AI assistants inspect and control Asterisk and FreeSWITCH PBX systems, enabling natural language queries about live switch status, channels, registrations, and call control.

Provides a sandboxed Docker environment for executing Python code against API endpoints, exposing tools for discovery, inspection, execution, and reuse.

Execute Python code via subprocess with timeout and error handling, returning stdout, stderr, and exit code.

Provides AI coding agents with structured, evidence-based diagnostics about the local development environment, detecting tech stack, runtime mismatches, dependency state, services, ports, and Git status without exposing secrets or using network calls.