What vision model does the server use?
It uses OpenAI’s GPT‑4.1‑mini model, optimized for text extraction from images with high‑detail analysis.
@cjus
Basic information
OpenAPI (based) text from image extraction MCP Server
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
OpenAI OCR MCP Server is a Model Context Protocol (MCP) server that uses OpenAI’s GPT‑4.1‑mini vision model to extract text from images. It integrates with Cursor IDE, allowing users to select an image file and receive the extracted text directly in the IDE, as well as saved as a separate text file.
Install dependencies (npm install), build the TypeScript code (npm run build), and set the OPENAI_API_KEY environment variable in a .env file. In Cursor IDE, configure the MCP server, then use the OCR tool via the command palette to select an image file. The extracted text is displayed in Cursor and automatically saved as a text file next to the source image.
It uses OpenAI’s GPT‑4.1‑mini model, optimized for text extraction from images with high‑detail analysis.
The server supports JPEG/JPG, PNG, GIF, and WebP formats.
Yes, images must be 5MB or smaller; larger files are rejected with an error message.
The text file follows the pattern `{original_image_name}-{content_hash}.txt`, where the hash is an 8‑character unique identifier derived from the extracted text.
Yes, a valid OpenAI API key (either standard `sk-...` or project‑specific `sk-proj-...`) must be set in the `OPENAI_API_KEY` environment variable.
GoBuy gives AI agents marketplace-evidence trust scores. One call returns a 0–100 Evidence Score with observed/missing signals, freshness, and product context. Tools: • check_product_trust — inspect one Amazon, Walmart,

Hire a verified local human for small real-world tasks your AI agent can't do: errands, queues, pickups, in-person checks and on-site photos. Your agent posts a quest, local humans send offers, and your user picks one an

miniOrange WordPress MCP Server turns a WordPress site into a Model Context Protocol server, so AI clients like Claude, ChatGPT, Cursor, Gemini and Windsurf can read and edit the site through chat instead of the admin da
Run free live audience Q&A and polls from your agent: start an AskOne room, add and launch a poll, approve or hide questions and mark them answered, close the room, then read the questions as a FAQ draft and get the resu
BERGHAIN MCP server — sovereign AI stress-testing mcp / ai / multi-agent / adversarial / stress-test / claude
Comments