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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. 35 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 11 · avg 4 · +164% w/w
a month agotoday
35
Installs / week
npm · @dumbspacecookie/openeye
2
Stars
0 open issues
20 May 2026
Last commit
0 releases in 90 days
MIT
License
Python

What the code does

We read the source, 22 h ago · rules 3dff92dd89df

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 -- npx -y @dumbspacecookie/openeye
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "openeye": {
      "args": [
        "-y",
        "@dumbspacecookie/openeye"
      ],
      "command": "npx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.openeye]
command = "npx"
args = ["-y", "@dumbspacecookie/openeye"]
.cursor/mcp.json
{
  "mcpServers": {
    "openeye": {
      "args": [
        "-y",
        "@dumbspacecookie/openeye"
      ],
      "command": "npx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "openeye": {
      "args": [
        "-y",
        "@dumbspacecookie/openeye"
      ],
      "command": "npx"
    }
  }
}

This one needs environment variables set before it will start: 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.), 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.). The author declared them in the registry entry; get the values from the project itself.

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answering

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 35 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 with the file path 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 35 times in the last week. Week over week that is +164%. 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.