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name: eye2byte description: Give your agent eyes — capture screenshots, voice, and annotations from any screen, monitor, or device via MCP. version: 0.3.1 user-invocable: true disable-model-invocation: true metadata: openclaw: requires: bins: - python anyBins: - ffmpeg env: - EYE2BYTE_MCP_TOKEN primaryEnv: EYE2BYTE_MCP_TOKEN emoji: "\U0001F441" homepage: https://github.com/wolverin0/Eye2byte install: - kind: uv package: eye2byte bins: [eye2byte]

Eye2byte — Screen Context for Your Agent

Eye2byte is an open-source MCP server (GitHub, PyPI) that lets you see the user's screen. Use these MCP tools only when the user explicitly asks you to look at something, debug a visual issue, or capture their screen.

Privacy & Data Storage

• All data stays local. Captures are stored in ~/.eye2byte/output/ on the user's machine. Nothing is sent to external servers (except the vision model API the user configured).
• Auto-cleanup: Captures are deleted after N days (default: 7, configurable in settings). Set to 0 to disable.
• MCP token: When using SSE remote transport, the --token flag sets a bearer token stored only in the user's openclaw.json. Treat it like any API secret. The token is never logged or transmitted beyond the Authorization header.
• No telemetry. Eye2byte collects zero analytics or usage data.

Available MCP Tools

capture_and_summarize

Screenshot the user's screen and get a structured analysis.

Parameters:

• mode — "full" (default), "window", or "region"
• monitor — 0 = active monitor (default), 1/2/3 = specific monitor, -1 = ALL monitors at once
• delay — seconds to wait before capturing (useful for menus/tooltips)
• window_name — capture a specific app window by name (e.g., "chrome", "code")

Use this when the user says things like "look at my screen", "what do you see", "debug this", or "what's wrong here".

capture_with_voice

Screenshot + voice recording + transcription. Returns both visual analysis and what the user said.

Use when the user wants to describe something verbally while showing their screen.

record_clip_and_summarize

Record a short screen clip, extract keyframes, and analyze the sequence.

Use when the user wants to show you something that changes over time (animations, workflows, step sequences).

summarize_screenshot

Analyze an existing image file. Pass a file path to get a structured analysis.

transcribe_audio

Local Whisper transcription of any audio file.

get_recent_context

Retrieve recent Context Pack summaries from previous captures.

Use this to recall what you've seen recently without re-capturing.

What You Get Back

Every capture returns a structured Context Pack:

Goal           — what the user appears to be doing
Environment    — OS, editor, repo, branch, language
Screen State   — visible panels, files, terminal output
Signals        — verbatim errors, stack traces, warnings
Likely Situation — what's probably happening
Suggested Next Info — what you should ask or do next

When to Use Eye2byte

• User mentions something visual ("this button is broken", "the layout is wrong")
• User asks you to "look at" or "check" something on their screen
• You need to see error dialogs, UI bugs, or terminal output the user can't easily copy
• User is debugging and visual context would help your diagnosis
• User asks you to monitor or watch something
• You want to verify your changes had the intended visual effect

Multi-Monitor Tips

• monitor=-1 captures ALL monitors stitched together — useful for seeing the full workspace
• monitor=1, 2, 3 for targeting specific displays
• Default (monitor=0) captures whichever monitor has the active window

Setup

Eye2byte must be running on the machine whose screen you want to capture:

Local (same machine): Already configured if this skill loaded.

Remote (different machine): The user runs eye2byte-mcp --sse --token <secret> on their local machine, and configures the MCP connection URL in openclaw.json.