DeepSeek Visionary
Click on "Install 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., "@DeepSeek Visionaryanalyze the screenshot at ~/Desktop/error.png and explain the error"
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.
DeepSeek Visionary
在 Zed 中使用 DeepSeek 网页版的原生多模态视觉模型 的 MCP 扩展,支持浏览器自动登录(无需手动复制 token)。
这是 Python 版 deepseek-vision-mcp 的 Rust 全量重写:单原生二进制 + Zed 扩展壳,多平台分发。
架构
graph TD
subgraph Zed 宿主
EXT["visionary-zed-ext 扩展壳 (wasm32-wasip2)<br/>下载/定位二进制 + 返回启动命令"]
EXT -->|spawn 独立进程| SRV
end
subgraph visionary-server 原生二进制
SRV["MCP stdio 服务<br/>vision / status / login / logout 工具"]
CFG["~/.deepseek-visionary/config.json<br/>token + smidV2 + cf_clearance + 会话"]
SRV --> CFG
end
SRV -->|HTTPS| DS["DeepSeek 网页后端"]
SRV -->|CDP 启动 + 监听| BRO["Chrome 系浏览器<br/>仅登录时出现"]visionary-server:MCP stdio 服务,实现完整 vision 流水线(PoW → 上传 → fork → HIF 签名 → SSE 流式 completion)与 CDP 自动登录
visionary-zed-ext:Zed 扩展壳,按平台从 GitHub Releases 下载/缓存 visionary-server 并启动
Related MCP server: multimodal-mcp
安装
从 Zed 扩展市场安装
DeepSeek Visionary(或在开发模式下安装本地扩展)在 Zed 中调用 MCP 工具
deepseek_vision_login完成自动登录:会打开浏览器窗口并导航到 chat.deepseek.com
在浏览器中登录后,工具自动抓取 token 并保存
直接使用
deepseek_vision识图
手动兜底:登录 chat.deepseek.com 后,DevTools → Application → Local Storage →
userToken→ 复制JSON.parse(value).value,写入~/.deepseek-visionary/config.json:{ "user_token": "你的 token" }
工具
工具 | 说明 |
| 上传本地图片(路径 / base64)并用 DeepSeek 视觉模型分析。参数: |
| 检查登录状态与 token 有效性(含真实校验探针) |
| 浏览器自动登录并抓取凭据 |
| 清除保存的凭据 |
会话续聊
deepseek_vision 支持多轮对话:
continue_conversation=true:复用上一次会话,可对比多张图片session_id:显式切换到指定会话线程
会话状态持久化在 ~/.deepseek-visionary/session.json。
Zed 权限建议
在 Zed 设置中为扩展授予工具权限:
{
"agent": {
"tool_permissions": {
"context_servers.deepseek-visionary": {
"deepseek_vision": "allow",
"deepseek_vision_login": "allow",
"deepseek_vision_status": "allow",
"deepseek_vision_logout": "allow"
}
}
}
}开发
# 构建原生服务
cargo build -p visionary-server --release
# 构建扩展壳(wasm32-wasip2)
rustup target add wasm32-wasip2
cargo build -p visionary-zed-ext --release --target wasm32-wasip2
# 测试
cargo test -p visionary-server本地联调:在 Zed 中通过 Extensions → Install Dev Extension 选择 crates/visionary-zed-ext 目录;
调试时可在扩展设置中配置 server_path 指向本地构建的 visionary-server。
环境变量
变量 | 说明 |
| 覆盖 config.json 中的 token(可选) |
| 覆盖对应 cookie(可选) |
| API 基地址(默认 |
| 登录等待超时秒数(默认 600) |
平台支持
macOS(Apple Silicon / Intel)
Linux(x86_64 / aarch64)
Windows(x86_64)
需要 Chrome / Chromium / Edge 之一用于自动登录。
工作原理(要点)
PoW:wasmtime 加载 DeepSeek 站内
sha3_wasm_bg.*.wasm(随仓库分发),调用wasm_solve求解upload_file与completion的 challengeTLS 指纹:completion 端点与 Python 版(curl_cffi chrome131)对齐;Rust 侧默认普通 reqwest,若被 403 再启用指纹模拟(见 design.md spike 记录)
登录:CDP 控制 Chrome 系浏览器(专用 profile
~/.deepseek-visionary/browser/),读取localStorage.userToken与smidV2/cf_clearancecookie凭据安全:
~/.deepseek-visionary/config.json权限 0600,浏览器 profile 0700
License
MIT
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