An official Model Context Protocol (MCP) server that enables AI clients to interact with ElevenLabs' Text to Speech and audio processing APIs, allowing for speech generation, voice cloning, audio transcription, and other audio-related tasks.
A composition-focused server built on music21 for generative music workflows, enabling melody generation, musical transformations, chord reharmonization, counterpoint creation, and MIDI export through constraint-based algorithmic composition tools.
Enables AI assistants to control Ableton Live through natural language by querying tracks, analyzing sessions, and exporting stems via AbletonOSC integration.
An MCP server that enables AI models to control electronic music instruments by sending MIDI messages to hardware synths and drum machines. It supports various MIDI commands including notes, control changes, and system exclusive messages through USB or DIN MIDI interfaces.
A Model Context Protocol server that extracts and processes content from PDF documents, providing text extraction, metadata retrieval, page-level processing, and PDF validation capabilities.
A Model Context Protocol server that enables fetching and processing images from URLs, local file paths, and numpy arrays, returning them as base64-encoded strings with proper MIME types.
This server provides a comprehensive integration with Zendesk. Retrieving and managing tickets and comments. Ticket analyzes and response drafting. Access to help center articles as knowledge base.
An advanced integrated MCP server platform that combines 600+ tools and multiple biomedical databases to enable comprehensive information retrieval across molecules, proteins, genes, and diseases for accelerating therapeutic research.
Provides advanced document search and processing capabilities through vector stores, including PDF processing, semantic search, web search integration, and file operations. Enables users to create searchable document collections and retrieve relevant information using natural language queries.
An MCP server that transforms codebases into knowledge graphs using Neo4J, enabling AI assistants to understand code structure, relationships, and metrics for more context-aware assistance.
