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Openeye MCP Server

@dumbspacecookie

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

dumbspacecookie

提交者

dumbspacecookie

关于 Openeye MCP Server

Persistent memory + visual session tracking + RL trajectory capture for AR/XR/mobile procedure verification. Bring your own vision model (Claude, GPT-4o, Ollama).

#memory#ar#xr#computer-vision#mcp#agent#procedure-verification#ollama#claude#dpo

Openeye MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "openeye": {
      "command": "python3",
      "args": [
        "sidecar/mcp_server.py"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "sk-ant-..."
      }
    }
  }
}

Openeye MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Openeye?

Openeye provides persistent memory, visual session tracking, and reinforcement learning trajectory capture for procedure verification in AR, XR, and mobile environments. It allows users to bring their own vision model, such as Claude, GPT-4o, or Ollama.

How to use Openeye?

—

Key features of Openeye

  • Persistent memory for sessions.
  • Visual session tracking.
  • RL trajectory capture.
  • Supports Claude, GPT-4o, Ollama.
  • Designed for AR/XR/mobile verification.

Use cases of Openeye

  • Procedure verification in AR, XR, or mobile environments.

常见问题

1

What vision models does Openeye support?

Openeye supports Claude, GPT-4o, and Ollama.

2

What environments is Openeye designed for?

Openeye is designed for AR, XR, and mobile procedure verification.

3

Does Openeye include persistent memory?

Yes, Openeye includes persistent memory for sessions.

评论

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