How do I install Pennyocr?

Pennyocr is a remote plugin. You do not need to install anything locally. Add the server URL to your AI app's MCP configuration and you are ready to go.

Is Pennyocr safe to use?

Yes. Pennyocr passed MCP Marketplace's automated security scan with a score of 10/10 (low risk). Every server on MCP Marketplace is security-scanned before it's listed; see the full security report on this page for the findings and permissions.

What AI apps work with Pennyocr?

Pennyocr uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Pennyocr MCP Server

by Imiraoui

Developer ToolsLow Risk10.0MCP RegistryRemote

Free

Server data from the Official MCP Registry

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

About

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

Remote endpoints: streamable-http: https://mcp.pennyocr.com

Security Report

10.0

Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

2 tools verified · Open access · No issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Found in Source Code

Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "com-pennyocr-ocr": {
      "url": "https://mcp.pennyocr.com"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

🪙 PennyOCR MCP server

A remote Model Context Protocol server that gives any agent document-reading eyes: PDFs and images by URL → markdown (tables preserved) or plain text, with exact cost reporting and hard spend caps.

Hosted at https://mcp.pennyocr.com — nothing to install:

{
  "mcpServers": {
    "pennyocr": {
      "url": "https://mcp.pennyocr.com",
      "headers": { "Authorization": "Bearer pk_live_..." }
    }
  }
}

Keys are free (first 100 pages free) at pennyocr.com/dashboard. Clients that can't set headers: https://mcp.pennyocr.com/?key=pk_live_...

Tools

Tool	Input	Output
`read_document`	`{url, pages?, output?, max_pages?, max_cost_usd?}`	`{content, pages, cost_usd, citations[]}`
`estimate_cost`	`{url, pages?}`	page count + exact cost — free
`check_balance`	`{}`	remaining credits + free-tier allowance — free

The cost caps refuse before any processing, with the numbers — so autonomous agents can reason about spend ("200 pages, $0.15 — proceed") and can never run past a prepaid balance.

Transport

Streamable HTTP (JSON-RPC 2.0 over POST), stateless. This repo is the complete server — a single Cloudflare Worker (worker.js) proxying the PennyOCR API.

Pricing: $0.75 per 1,000 pages · pennyocr.com/pricing.txt · Agent onboarding: pennyocr.com/llms.txt

Cursor plugin

This repository includes a Cursor plugin manifest at .cursor-plugin/plugin.json and a plugin-specific mcp.json. In the plugin configuration, set PENNYOCR_API_KEY to your own API key from https://pennyocr.com/dashboard/. The repository contains only a variable placeholder, never a live key. Document reading uses your PennyOCR credits; use cost estimates and spend caps as appropriate. The separate .mcp.json uses Cursor environment-variable interpolation for direct MCP configuration.

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4.8

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