"Information or context about 'context7'" matching MCP servers:

Local MCP server for private, consent-based speaker identification and attribution, with per-language voiceprints and calibrated match thresholds. It lets AI assistants know who is speaking in a room or transcript without cloud services.

Enables detection of AI-generated content in images, videos, audio, and text via the AI or Not API. Supports media analysis tools for deepfakes, synthetic voices, and AI-written text.

MCP server for audio transcription using OpenRouter models, supporting verbatim, cleaned, and custom transcription modes.

An MCP server for OBS Studio that subscribes to events and maintains a history, enabling queries about audio levels, source states, and past actions rather than only one-shot requests.

A Model Context Protocol server that allows AI assistants to generate music through the Suno API, supporting custom lyrics and style inputs or inspiration-based creation.

An MCP server that enables AI assistants to search, analyze, and retrieve information about audio samples from Freesound.org through their API.

A powerful MCP tool for parsing and manipulating MIDI files that allows users to read, analyze, and modify MIDI files through natural language commands, supporting operations like reading file information, modifying tracks, adding notes, and setting tempo.

An MCP server for parsing and analyzing Ableton Live .als project files offline, enabling queries about tempo, tracks, clips, and MIDI data through tools like als_summary and als_list_tracks.

Enables searching and downloading audio samples from Freesound using keywords, filters, and sound IDs. It provides detailed sound metadata including duration, license information, and preview URLs.

Enables audio file analysis using Google's Gemini multimodal models with support for additional context and system instructions to guide the model's behavior.

A Model Context Protocol server that integrates with VOICEVOX engine to provide text-to-speech synthesis and speaker information retrieval, allowing users to generate and play voice audio from text.

Enables AI clients to transcribe YouTube links and uploaded audio or video files, then retrieve the resulting transcripts as text, SRT, VTT, or JSON with timestamps and optional speaker labels. Also supports paging through long transcripts, checking upload progress, listing or deleting jobs, and viewing remaining account minutes.

Exposes the program's push-to-talk transcript history to MCP clients such as Claude Desktop and Claude Code, letting them fetch recent or latest transcripts, query results by time window, range, or ISO timestamp, search text, look up records by id, and read counts, runtime status, or clear history. Each result carries millisecond-precision hold start/end timestamps alongside the transcribed text.

A Model Context Protocol server that enables AI assistants like Claude to generate lyrics, songs, and background music through Mureka's APIs.

Enables AI tools to interact with constraint theory tools for pitch snapping, music generation, diagnostic analysis, and audio rendering through the Model Context Protocol.

Enables LLMs to directly understand and generate Max patches via the Model Context Protocol.

Enables MCP clients to speak text aloud on macOS using the built-in say command, with no external speech API or keys, and to list available voices and control rate or voice selection. Requests from multiple client threads share a single FIFO playback worker, so speech plays one item at a time and can be inspected, stopped, or muted in hold or discard mode.

Transcribes YouTube videos or audio files to Markdown, plain-text, and Word documents.

Enables AI agents to submit and manage durable long-form audio transcription jobs, and read or export structured transcripts via MCP tools.

An unofficial MCP server that provides access to Spotify's Web API through the Model Context Protocol, enabling AI assistants to search music, manage playlists, and control playback.