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ocular

Vision tools for coding agents: screenshots, OCR, UI diffs, errors, tables, and charts.

Connector by xyun1996 · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)
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Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/xyun1996-ocular

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Vision tools for coding agents: screenshots, OCR, UI diffs, errors, tables, and charts.

Reviews

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Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools
7 read · 1 write · 0 delete
Secrets
1 (API keys, tokens or passwords)
Install scripts
Not scanned yet
Runs as
Node.js package

Tools by what they do 8

Read from the source code; the running server may list different tools.

Read 7 · Look things up without changing anything.

  • analyze_chart_image
  • analyze_image
  • analyze_ui_screenshot
  • compare_ui_screenshots
  • diagnose_error_screenshot
  • extract_table_from_image
  • extract_text_from_image

Write 1 · Create, change, send or run things.

  • create_upload_session

Secrets and settings it asks for

Secrets: values you paste in that let it act as you.

  • OCULAR_API_KEY

Other settings (environment variables or headers).

  • OCULAR_BASE_URL
  • OCULAR_MODEL

Tools (8)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • analyze_chart_image

    Analyze a chart image and return labels, trends, approximate values, and limitations.

  • analyze_image

    Analyze a general image and return structured JSON for a coding agent.

  • analyze_ui_screenshot

    Analyze a webpage, app, UI, or design mockup screenshot for frontend implementation work.

  • compare_ui_screenshots

    Compare two UI screenshots and return implementation-useful visual differences.

  • create_upload_session

    Returns upload instructions for the binary side channel (use this to analyze LOCAL image files without base64 corruption). Before uploading, verify the local file exists and is non-empty with Bash (e.g. `ls -la <path>` or `test -f <path> && stat -c %s <path>`). Then PUT the raw bytes to the returned upload_url with curl --data-binary (NOT base64); the response gives a file_id to pass to any vision tool. Stateless -- call once to learn the endpoint.

  • diagnose_error_screenshot

    Analyze error, terminal, console, browser, or build failure screenshots.

  • extract_table_from_image

    Extract visible table data from an image as structured JSON, Markdown, or CSV-oriented output.

  • extract_text_from_image

    Extract OCR text from screenshots, documents, tables, terminal output, or code images.

Signals

Stars
0
Forks
0
Open issues
2
Last commit
Oct 15, 2026 (14 days ago)
Last release
Aug 12, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Registry name
io.github.xyun1996/ocular
Version
0.1.0
Auth
API key
Packages
npm ocular-mcp
License
MIT
Repository
github.com/xyun1996/ocular
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
Official MCP Registrygithub-graphql
Cite this page

ocular MCP server. Agent Mart. https://agentmart.dev/connectors/xyun1996-ocular (last updated 2026-10-24)