mcpbeat Sign in

OCR MCP Server

answering

OCR is answering right now. Last checked 11 min ago. It exposes 2 tools. Last commit 30 Aug 2026.

Read PDFs and images as markdown or text, with exact costs and hard spend caps. $0.75/1k pages.

Uptime history 20 days of history
20 days agonow
100.0%
Uptime 24h
92 of 92 checks
2
Tools
read from the server
100 ms
Response time
average over 24h
0
Stars
last commit 30 Aug 2026

Nothing serious here today

Today is the operative word: we check OCR every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 11 min ago.

run in your terminal
claude mcp add ocr --transport http https://mcp.pennyocr.com
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "ocr": {
      "url": "https://mcp.pennyocr.com"
    }
  }
}
~/.codex/config.toml
[mcp_servers.ocr]
url = "https://mcp.pennyocr.com"
.cursor/mcp.json
{
  "mcpServers": {
    "ocr": {
      "url": "https://mcp.pennyocr.com"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "ocr": {
      "url": "https://mcp.pennyocr.com"
    }
  }
}

Available tools 2

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

document
read_document
Read a document (PDF or image) from a URL and return its contents as markdown (tables preserved) or plain text. Costs $0.00075 per page, billed to the PennyOCR account; the response includes the exact cost_usd and per-page citations. Use estimate_cost first for big documents. Supports page ranges and hard spend caps.
estimate
estimate_cost
Free: return the page count and exact cost_usd to read a document URL with read_document, without running OCR. Use before reading large documents.

Endpoints

URLTransportStateLatencyChecked
https://mcp.pennyocr.com streamable-http answering 90 ms 11 min ago

Alternatives to OCR

same job, measured the same way
Rendex: Rendering API for Images, PDFs & Content Extraction
by copperline-labs

Render HTML, Markdown, or URLs to images, PDF, or branded artifacts; extract and watch pages.

76 installs/wk 13 tools answering
P
doc.page PDF Extraction
by doc

Extract PDFs to Markdown, RAG chunks and cited tables; publish tracked Doc Links with read stats.

7 tools answering
htmldrop
by vin-spiegel

Publish HTML, Markdown, PDF, or images as instant shareable links with expiry and passwords.

1 tools answering
C
ExactPDF
by exactpdf

Agent-facing PDF API: merge, split, rotate, compress, images, metadata, text, and Markdown.

227 installs/wk local only
docx4j Word documents
by plutext

Read, convert and fill Word (.docx) documents: templates, Markdown/HTML in and out, PDF with math.

local only
PDF Text, Table and OCR Extractor
by brenton-keller

PDF URLs to per-page text, tables as rows, Markdown, metadata and OCR for scanned pages.

answering
Better Notion
by ai-aviate

Operate Notion with a single Markdown document — read, create, and update pages in one call.

18 installs/wk local only
PDF to Markdown (pdf2md.dev)
by pdf2md

Hosted MCP server: convert PDFs to clean, LLM-ready Markdown with tables, formulas and OCR.

answering

OCR — questions

Answers built from our own checks of this server.

What can OCR do?
It exposes 2 tools, read directly from the server on our last check. Among them: estimate_cost, read_document. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is OCR working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 100 ms. The bar chart above shows every period we have measured.
How do I connect OCR?
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 is a remote server, so there is nothing to install — the client connects to the address.
Does OCR need an API key?
No. OCR completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 2 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is OCR?
It answers our handshake in 100 ms on average, which is faster than 84% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is OCR open source?
Yes — it is published under the MIT licence, written in JavaScript and 0 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.