Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Remote OpenCode MCP Server Create a new session and ask OpenCode to write a binary search algorithm."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
让 AI（如 Claude Desktop、Cursor）能真正动手干活：改代码、跑命令、跑测试。
原理：AI 负责思考和规划，本项目的 bridge 把任务传给本机的 OpenCode 执行，再把结果带回来。
uv sync
uv run opencode-mcp就这一条命令：bridge 启动时会自动拉起 opencode 后端，退出时自动回收。
Related MCP server: opencode-mcp-tool
AI 默认在你启动命令时所在的目录工作。想固定操作某个项目，在 AI 客户端配置里加一个环境变量即可（见下一节）：
"env": { "OPENCODE_WORKSPACE": "/absolute/path/to/your-project" }bridge 没有界面，需要在 AI 客户端的 MCP 设置里添加一次（以 Claude Desktop 为例）：
{
"mcpServers": {
"opencode-executor": {
"command": "uv",
"args": ["--directory", "/absolute/path/to/remote-opencode-mcp", "run", "opencode-mcp"],
"env": { "OPENCODE_WORKSPACE": "/absolute/path/to/your-project" }
}
}
}保存并重启客户端即可。之后正常对话就行，比如对 AI 说"帮我在项目里加个 README"，它会自动通过 bridge 调用 OpenCode 完成并汇报结果。
在运行 bridge 的终端按 Ctrl+C。
MIT
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