The Zen7 Payment Agent is the first practical implementation of a DePA decentralized payment agent. It adopts a multi - agent collaborative architecture, supports the A2A and MCP protocols, and provides multi - chain and multi - currency payment solutions for AI agents and Dapp applications, enabling automated cryptocurrency payments and LLM - driven intent recognition.

AiryLark MCP is a professional - level translation service interface. It uses a three - phase process to ensure translation quality, supports multi - language translation and domain term recognition, and is suitable for professional scenarios such as technical documents and academic papers.

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.

This is an MCP server for the reMarkable tablet, enabling AI assistants to read, search, and traverse your entire reMarkable library, including recognizing handwritten notes through OCR and transforming the tablet into a 'second brain' accessible to AI.

An MCP server that provides screen capture and OCR text recognition functions

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

Jarvis MCP is a browser-based voice conversation tool that allows users to have natural voice conversations with AI assistants through a microphone. It supports voice recognition in more than 30 languages and remote access, and no additional software or API keys are required for installation.

CryptoAnalysisMCP is a cryptocurrency technical analysis tool built on Swift, providing real-time price data, technical indicators, chart pattern recognition, and trading signals. The latest version v1.1 supports over 7 million tokens through DexPaprika integration, allowing access to basic price data without an API key.

An intelligent pet companion application based on the MCP protocol, realizing interaction with virtual pets through voice recognition and natural language processing, and supporting multi - platform operation.

Speech MCP is a voice interaction extension designed for Goose, providing real-time voice recognition, text-to-speech, and audio visualization functions.

An MCP service that provides a voice interaction mode for Claude Code, supporting hands-free continuous two-way voice conversations through the browser, including voice recognition and text-to-speech functions.

FastApply MCP Server is an enterprise-level code intelligence platform that provides comprehensive code analysis, search, and refactoring capabilities through local AI models, AST semantic search, security scanning, and intelligent pattern recognition. It supports multi-language development and large codebase processing.

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 intelligent code analysis and debugging server based on the Perplexity AI API, seamlessly integrated with the Claude desktop client, providing error analysis, pattern recognition and solution recommendations.

A service based on the Model Context Protocol (MCP) that provides AI assistants with the ability to access and analyze AWS CloudWatch logs, supporting functions such as log search, summary generation, and error pattern recognition.

A code explanation service based on Cloudflare Worker, providing comprehensive code explanation and visualization through pattern recognition and architecture analysis.

This project expands the video speech recognition function. It originally only supported the local Whisper model, and now it newly supports the online speech recognition services of CapCut and Bcut, providing a flexible multi - service selection architecture.

An intelligent code analysis and debugging service based on the Perplexity AI API, integrated with the Claude desktop client through the MCP protocol, providing functions such as error analysis, pattern recognition, and solution recommendation.

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

A high-performance speech recognition MCP server based on Faster Whisper, providing efficient audio transcription capabilities, supporting batch processing, multiple model sizes, and multiple output formats.

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.

An MCP server that provides computer control functions, including mouse and keyboard control, OCR recognition, window management, etc., implemented based on PyAutoGUI and RapidOCR without external dependencies.

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.

The Orion Vision MCP Server is an open - source project based on the Model Context Protocol (MCP), providing seamless integration with Azure Document Intelligence services and supporting analysis and data extraction functions for multiple document types.

An intelligent and efficient Grafana Tempo MCP server with functions such as automatic query format recognition, correct URL encoding, and user-friendly responses, which solves multiple problems in the official version.

Speech MCP is a voice interaction extension designed for Goose, providing real-time voice recognition, high-quality text-to-speech, multilingual support, and a modern audio visualization interface. It supports multi-character dialogue generation and audio transcription functions.

The MCP development framework is a powerful framework for creating custom tools to interact with large language models. It provides functions such as file processing and web content retrieval, supports multiple formats such as PDF, Word, and Excel, and has technical features such as intelligent recognition, efficient processing, and memory optimization.

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.

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.

An MCP server that provides computer control functions, including mouse and keyboard control, screen capture, OCR text recognition, etc. It supports cross - platform operation and requires no external dependencies.

A CAPTCHA recognition MCP server based on ddddocr, providing text OCR, object detection, and slider matching functions

The MCP Speaker Diarization and Recognition System is a complete solution integrating GPU-accelerated speaker separation, speech recognition, emotion detection, and a web interface. It combines the speaker separation of pyannote.audio with the faster-whisper transcription technology, supporting persistent speaker recognition (one-time registration, permanent recognition), dual-detector emotion analysis (combining general AI and personalized voiceprints), real-time stream processing, REST API, and MCP server, and is designed for AI intelligent agent integration and hobby projects.

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

The MCP interface connects Claude's thinking cycle system to achieve continuous background thinking processing between conversations, including pattern recognition, memory management, and cross - session learning functions.

An image recognition server based on the Model Context Protocol that provides image analysis and description functions through OpenAI-compatible vision models, supporting cloud and local model integration.

The ASR MCP server is an automatic speech recognition service based on the Whisper engine, providing the speech synthesis function through the MCP tool for easy application integration.

An intelligent code analysis and debugging service based on the Perplexity AI API, seamlessly integrated with the Claude desktop client via the MCP protocol, providing functions such as error analysis, pattern recognition, and solutions.

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.

TEN Agent is a multi-functional AI agent framework that integrates real-time vision, voice recognition, and screen sharing detection capabilities, and supports rapid expansion and development.

Hi-AI is an AI development assistant based on the Model Context Protocol (MCP), offering 36 professional tools. It supports natural language keyword recognition, intelligent memory management, code analysis, project planning, and task management, helping developers efficiently complete complex development tasks.