stackchan-relay

stackchan-relay

MCP server that enables controlling a StackChan robot via tools like speak, emote, and move head, with a relay service for ESP32 long polling.

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README

stackchan-relay

单进程 FastAPI 服务,合并了:

  • MCP server (Streamable HTTP),挂载在 /mcp/<TOKEN>/,给 Claude.ai 的 MCP 连接器用
  • Relay,给 ESP32 (M5Stack CoreS3) 长轮询用:
    • GET /poll?token=<TOKEN> — 拉取最新命令(latest-only,最多等 STACKCHAN_POLL_TIMEOUT 秒)
    • POST /result?token=<TOKEN> — 上报上一条命令的执行结果

命令队列存在内存里,只保留"最新一条未消费的命令",不做持久化、不做FIFO。

提供的 MCP 工具

  • stackchan_speak(text)
  • stackchan_emote(expression)
  • stackchan_move_head(pitch, yaw)
  • stackchan_wiggle()
  • get_stackchan_status() — 返回 ESP32 是否在线、最近一条命令、最近一次上报结果

本地开发

python3 -m venv .venv
.venv/bin/pip install -r requirements.txt
cp .env.example .env   # 修改 STACKCHAN_TOKEN
.venv/bin/uvicorn app.main:app --host 127.0.0.1 --port 8011 --reload

部署到 VPS (43.129.25.76, Ubuntu 24.04)

  1. 上传代码到 /opt/stackchan-relay(例如 git clone 或 scp -r)

  2. 建虚拟环境并装依赖:

    cd /opt/stackchan-relay
    python3 -m venv .venv
    .venv/bin/pip install -r requirements.txt
    
  3. 配置环境变量:

    cp .env.example .env
    # 生成一个随机 token:
    python3 -c "import secrets; print(secrets.token_urlsafe(24))"
    # 把生成的值填进 .env 的 STACKCHAN_TOKEN
    
  4. 安装 systemd 服务:

    cp stackchan-relay.service /etc/systemd/system/
    systemctl daemon-reload
    systemctl enable --now stackchan-relay
    systemctl status stackchan-relay
    
  5. 配置 Caddy 反代(参考 Caddyfile.snippet,追加到 /etc/caddy/Caddyfile):

    cat Caddyfile.snippet >> /etc/caddy/Caddyfile
    systemctl reload caddy
    

    这里用的是 43-129-25-76.nip.io(免费的 IP 通配 DNS,自动解析到你的VPS IP),Caddy 会自动申请 HTTPS 证书。以后换正式域名只需要把这一行换掉。

  6. 验证:

    curl https://43-129-25-76.nip.io/healthz
    # => {"ok":true}
    

在 Claude.ai 里添加 MCP 连接器

  • URL 填: https://43-129-25-76.nip.io/mcp/<TOKEN>/ (注意结尾的斜杠)
  • 保存后新开一个聊天窗口,Claude 就能看到 5 个 StackChan 工具

ESP32 (CoreS3) 固件需要做的事

循环长轮询:

GET https://43-129-25-76.nip.io/poll?token=<TOKEN>
  • 最多等待 ~25 秒(由服务端 STACKCHAN_POLL_TIMEOUT 控制)

  • 响应示例:

    • 有命令: {"id":"cmd_000001","action":"speak","text":"你好"}
    • 没命令(超时): {"action":null}
  • action 取值: speak(带 text)、emote(带 expression)、move_head(带 pitch/yaw)、wiggle

  • 执行完后上报结果(可选但建议):

    POST https://43-129-25-76.nip.io/result?token=<TOKEN>
    Content-Type: application/json
    
    {"id":"cmd_000001","status":"ok"}
    

安全注意点

  • 服务只监听 127.0.0.1:8011,外部只能通过 Caddy 的 443 访问
  • STACKCHAN_TOKEN 同时用作 MCP 路径的一部分和 ESP32 接口的 ?token=,务必用一个长随机字符串,不要用默认值
  • .env 不要提交到 git

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