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Openeye MCP Server

local only

Openeye runs on your own machine — the client starts it, so there is no endpoint to ping. 29 installs a week from npm. Last commit 20 May 2026.

Procedure verification for AR/XR with memory, visual sessions, and DPO trajectory export.

Installs per day peak 12 · avg 2 · +142% w/w
a month agotoday
29
Installs / week
npm · @dumbspacecookie/openeye
2
Stars
0 open issues
20 May 2026
Last commit
no releases in 90 days
MIT
License
Python

What the code does

We read the source, 5 d ago · rules 995398eba69f

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

function exec(cmd: string, args: string[]): Promise<string> {

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add openeye -e 'ANTHROPIC_API_KEY=<ANTHROPIC_API_KEY>' -- npx -y @dumbspacecookie/openeye
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "openeye": {
      "command": "npx",
      "args": [
        "-y",
        "@dumbspacecookie/openeye"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "<ANTHROPIC_API_KEY>"
      }
    }
  }
}
~/.codex/config.toml
[mcp_servers.openeye]
command = "npx"
args = ["-y", "@dumbspacecookie/openeye"]
env = { ANTHROPIC_API_KEY = "<ANTHROPIC_API_KEY>" }
.cursor/mcp.json
{
  "mcpServers": {
    "openeye": {
      "command": "npx",
      "args": [
        "-y",
        "@dumbspacecookie/openeye"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "<ANTHROPIC_API_KEY>"
      }
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "openeye": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@dumbspacecookie/openeye"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "<ANTHROPIC_API_KEY>"
      }
    }
  }
}

Put your own value in place of <ANTHROPIC_API_KEY> (Anthropic API key for the agent. Required because the default OpenEye agent uses Claude. Swap providers via src/models.ts if you want OPENAI/GROQ/GEMINI/etc). The author’s registry entry marks it as required.

Optional settings from the registry entry, left out of the block above: OPENEYE_CONTEXT_OPTIN (Set true to opt in to sharing trajectory data with Context's training pipeline. Default off. Loud opt-in by design — read docs/context-data.md before flipping), OPENEYE_CONTEXT_API_KEY (Context API key. Only needed if OPENEYE_CONTEXT_OPTIN is true).

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Openeye — questions

Answers built from our own checks of this server.

Why is there no uptime for Openeye?
Openeye runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the npm package @dumbspacecookie/openeye was installed 29 times last week.
How do I connect Openeye?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls @dumbspacecookie/openeye straight from npm; nothing to host, nothing to sign up for.
How many people use Openeye?
The npm package @dumbspacecookie/openeye was installed 29 times in the last week. Week over week that is +142%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Openeye open source?
Yes — it is published under the MIT licence, written in Python and 2 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.