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650,497 tools. Updated 2026-10-13 18:29

"OCR agent" matching MCP tools:

  • Analyze an image URL with Google Lens to find visual matches, detect objects, extract text via OCR, and identify exact product matches.
    MIT
  • Extracts text from a design using local OCR to verify spelling. Provide expected text for a match verdict; otherwise, detected text is returned.
    MIT
  • Specify a screen region with device pixel coordinates to extract text via OCR, returning JSON with text, confidence, and bounding box for targeted analysis.
    MIT
  • Verify identity documents by submitting front and optional back images. Get structured OCR data and authenticity checks for fraud prevention.
    MIT
  • Convert scanned PDFs into searchable, editable documents using OCR. Choose quality, language, and skip OCR when text is already digital.
    MIT

Matching MCP Servers

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    Agent Ready is an AI agent readability scanner — point it at any public URL and get back a 0–100 score plus per-check remediation hints for every failing check. This package wraps the same engine that powers agent-ready.dev as an MCP server, so Claude Desktop, Claude Code, Cursor, Cline, VS Code, and Windsurf can run scans inline and explain the results.
    4
    157 npm
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    MIT
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    MCP server exposing statistical regression testing for LLM agents as a "run" tool: p-value, effect size, and confidence interval on whether agent behavior actually changed.
    1
    Apache 2.0

Matching MCP Connectors

  • OCR for images and Korean ID documents

  • Image URL → plain text OCR for bots. Free try then prepaid TEST. https://ocr.kymac.co

  • Read the OCR text NARA machine-extracted from a record's page images to locate which page matters, then verify it against the page image before citing.
    MIT
  • Extract text from PDFs located in Notion, shared mounts, local paths, or Drive without moving bytes over MCP. Supports OCR for scanned/image-only PDFs.
    MIT
  • Retrieve OCR text from a Joplin image or scanned PDF without downloading the attachment. Use when you need the text content of a resource after OCR has finished processing.
    MIT
  • Read one inbound item through GET /v1/inbound-items/:id: canonical status, sender (staff-entered or exterior OCR guess), mailbox PMB, assigned agent, every saved page (exterior, interior, evidence) with OCR status and text when ready, the…
    MIT
  • Check which OCR engines are available on your machine before selecting an engine for text recognition.
    MIT
  • Run OCR on scanned PDFs to add a searchable text layer using Tesseract, making the text copyable and searchable.
    MIT
  • Navigate to a URL and extract page content as DOM elements and OCR text, defaulting to zero image tokens to reduce costs. Optionally capture a visual screenshot.
    MIT
  • Create, update, delete, and retrieve media files in Gramps, including uploads, thumbnails, OCR, and face detection.
    MIT
  • Extract visible text from local images using OCR. Ideal for code screenshots, terminal output, and error dialogs.
    Apache 2.0
  • Find an on-screen element from its description when the accessibility tree and OCR fail. Uses a vision-language model to return its bounding box.
    MIT
  • Deprecated: use get_inbound_pages. Still served unchanged during the alias window. Read one exact completed facility capture and its saved page OCR through /v1/agent-inbox/:id/scans/:operationId.
    MIT