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Provides a Model Context Protocol (MCP) server implementation for AivisSpeech, offering an interface for voice synthesis.
Enables LLM-powered clients to control a browser for automation tasks via the Model Context Protocol.
Enables interaction with the Sketchfab API using the Model Control Protocol (MCP).
Integrates with the Africastalking API for SMS functionality.
Provides an MCP server for Stylelint.
Tracks pytest failures and resolves errors faster using systematic debugging principles and integrates with Large Language Models.
Writes image metadata to enhance Spotlight search on macOS.
Enables interaction with ElevenLabs' Text to Speech and audio processing APIs through the Model Context Protocol.
Provides an MCP server enabling AI assistants to directly access and query a German family business knowledge graph database.
Provides real-time information for Taiwan High Speed Rail, including timetables, station details, train statuses, and seat availability.
Enables LM Studio to fetch web page text and links directly from URLs.
Enables AI assistants and development tools to interact with Apple's development ecosystem for building, testing, running, and managing projects.
Automates the debugging of Django and MySQL applications using an AI-powered, multi-agent pipeline.
Transforms your NFT collection into unique 3D origami patterns using AI sentiment analysis and algorithmic curation.
Integrates the ClickUp API through the Model Context Protocol, enabling interaction with ClickUp tasks and lists via standardized MCP tools.
Provides an AI-powered, browser-based coding environment with serverless architecture for seamless GitHub interactions.
Enables an innovative operating system experience that uses natural language for structure and control, powered by an LLM as its kernel.
Clean, transform, extract, and analyze text rapidly through a desktop GUI or programmatically via AI assistants.
Empowers AI agents with comprehensive control over a local Windows PC, offering capabilities like vision, hearing, manipulation, and automation.
Enables AI assistants to safely manage and interact with GitLab projects, merge requests, and other resources through a unified, policy-controlled interface.
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