什么是 #gemini-cli MCP 服务器?
标记为 #gemini-cli 的 MCP 服务器实现了 Model Context Protocol,让 Claude、Cursor、VS Code 等 AI 助手可以访问 gemini-cli 相关的工具、数据或 API。
以下 MCP 服务器和客户端均标记为 #gemini-cli——安装后即可让 Claude、Cursor、VS Code 等支持 MCP 的客户端获得 gemini-cli 相关能力。
michielinksee
Local-first agent memory MCP — Claude Code, Cursor, OpenAI Codex, and Gemini CLI share one SQLite brain. 6-layer structured memory (goal/context/emotion/implementation/caveat/learning), drift detection with pre-action re-injection guard, and an AST-aware diff cache saving 50-99%
okyashgajjar
Intelligent repository context for AI coding assistants. Provides code search, symbol lookup, call graphs, and reference tracking via MCP. Uniquely designed to minimize prompt-cache costs in long sessions stash/recall/remember tools keep large content out of context until needed,
AAR-Labs
Deploy and manage SnapDeploy apps (Docker containers on AWS) from Claude Code, Cursor, Codex or Gemini CLI: builds, logs, env vars, add-ons, domains.
zilliztech
Claude Context is an MCP plugin that adds semantic code search to Claude Code and other AI coding agents, giving them deep context from your entire codebase.
关于 #gemini-cli 标签下 MCP 服务器和客户端的常见问题
标记为 #gemini-cli 的 MCP 服务器实现了 Model Context Protocol,让 Claude、Cursor、VS Code 等 AI 助手可以访问 gemini-cli 相关的工具、数据或 API。
mcp.so 目前收录了 4 个标记为 #gemini-cli 的 MCP 服务器和客户端。
打开下方任意服务器页面,将安装配置复制到 Claude Desktop、Cursor、VS Code 或其他 MCP 客户端的配置中即可——远程服务器无需单独下载。