The Oxenstierna project aims to provide functions for searching, obtaining, and analyzing archive content by integrating multiple APIs (such as OAIPMH, IIIF, and Search API) of the Swedish National Archives, including the HTR (Handwritten Text Recognition) process and image processing.

An OCR service based on Mistral AI, supporting text and image recognition of local files and URLs

An MCP server based on the xAI Grok API, providing AI image analysis functions, supporting image description, metadata extraction, and OCR text recognition for URLs and local files.

An MCP server based on Google Gemini AI that provides image, audio, and video recognition functions, supporting multiple transmission methods and client integration.

An MCP server that provides image recognition functions, supporting the visual APIs of Anthropic and OpenAI, with capabilities such as image description, multi - format support, configurable primary - backup service providers, and OCR text extraction.

This project aims to provide access to the content of the Swedish National Archives (Riksarkivet) through multiple API interfaces (such as OAI - PMH, IIIF, and Search API), including functions such as searching for records, obtaining collection information, downloading images, etc., and exploring the real - time handwritten text recognition (HTR) process.

The OpenCV MCP Server is a Python - based computer vision service that provides OpenCV's image and video processing capabilities through the Model Context Protocol (MCP). It offers a full set of computer vision tools from basic image processing to advanced object detection for AI assistants and language models, including image processing, edge detection, face recognition, video analysis, and real - time object tracking.

The TextIn MCP Server is a document text extraction and OCR tool that supports text recognition, key information extraction, and conversion to Markdown format from images, PDFs, and Word documents.

A fashion recommendation system based on CLIP that realizes similar product recommendations through image recognition and encoding.

The MCP server for handwriting OCR, which integrates with the Handwriting OCR API and supports uploading image/PDF documents, checking status, and obtaining OCR recognition results.

BenBox is an AI agent system based on the SSE-based MCP protocol, including a mobile Angular application, supporting image recognition and cloud deployment.