lark-chat-mcp

lark-chat-mcp

Enables remote chat between Feishu (Lark) and AI agents like Cursor/Claude via MCP, allowing users to send messages from Feishu groups and receive streaming replies.

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README

lark-chat-mcp

飞书 ↔ Cursor / Claude 单会话远程聊天（v0.1.0）

你在飞书发消息，本机 Agent 通过 MCP 收到并流式回复——单群、单进程、零配置。

能做什么

方向 行为
飞书 → Agent lark_chat_watch 收消息，自动开 ack 流式卡
Agent → 飞书 lark_chat_stream / lark_chat_progress 流式更新卡片
  • 暂不支持多群并行

如何使用

  1. 配置好mcp，会话中/mcp 确认是 Connected
  2. 输入：> 持续监听飞书群 <随便起个群名>
  3. 然后就可以远程指挥你的Claude/Cursor了

前置

  • Node.js 18+
  • lark-cli 已 auth login（user + bot 均 ready）
  • 飞书应用已订阅 im.message.receive_v1 并发布

首次接入完整步骤见 docs/how_to_work.md。

安装

npm（推荐）

以 Claude Code 为例：

# 当前项目
claude mcp add lark-chat-mcp -- npx -y @eos./lark-chat-mcp

# 全局
claude mcp add lark-chat-mcp -s user -- npx -y @eos./lark-chat-mcp

claude mcp list

Cursor / Claude Desktop 配置：

{
  "mcpServers": {
    "lark-chat-mcp": {
      "command": "npx",
      "args": ["-y", "@eos./lark-chat-mcp"]
    }
  }
}

重载 MCP 后 新开 Agent 会话，应看到 4 个工具。

源码开发

git clone https://github.com/gitByEOS/lark-chat-mcp
cd lark-chat-mcp
npm install
npm test    # 期望全部通过

本地调试时 args 用 server.mjs 绝对路径：

{
  "mcpServers": {
    "lark-chat-mcp": {
      "command": "node",
      "args": ["/绝对路径/lark-chat-mcp/server.mjs"]
    }
  }
}

MCP 工具

工具 作用
lark_chat_session list 列群 · find 搜群 · create 建群并绑定
lark_chat_watch 阻塞等消息；timeout 时立即再调（单次最长 30s）
lark_chat_stream 流式卡片 append → close
lark_chat_progress step 逐步汇报，done=true 关闭

单实例与事件消费

全机只能运行 一个 server.mjs：

  • 第二实例会因 ~/.lark-chat-mcp/server.lock 直接退出
  • 同进程并发 watch 返回 watch_busy
ps aux | grep server.mjs          # 应只有 1 个
lark-cli event status --json      # active_consumers 应为 1

环境变量（可选）

MCP 日常不用配。仅边缘场景：

变量 说明
LARK_PEER_OPEN_ID 群里只接收该用户（ou_xxx）的消息

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