"AirPlay Audio" matching MCP servers:

Enables AI models to analyze audio files through numerical fingerprints, pitch tracking, and visual spectrograms without requiring direct audio playback. It provides tools for comparing audio iterations and detecting patterns using token-efficient analysis operations.

Enables searching and retrieving historical records from the Library of Congress, including newspapers, photos, maps, manuscripts, audio, and film, via the Model Context Protocol.

Search and retrieve AI company research, analyst-debate audio briefings, and proprietary Cyborg Score (1-10) from AskCyborg directly through MCP clients.

Enables AI assistants to manage Google NotebookLM notebooks, add sources from URLs, YouTube, Drive, or text, query and summarize content, and generate audio overviews, infographics, and slide decks through natural language.

Enables quant traders and researchers to test whether a strategy's edge is genuine or an artifact of testing many variants, via Probability of Backtest Overfitting, Deflated Sharpe Ratio, Minimum Backtest Length, and purged/embargoed cross-validation splits.

Enables interaction with Google NotebookLM through a real Chrome browser, allowing natural language queries, source ingestion, and audio overview generation.

Enables interaction with Google NotebookLM through a unified CLI and MCP server, featuring automatic multi-browser authentication and support for notebook queries, source management, notes, and audio generation.

Enables Codex to interact with Google NotebookLM, allowing it to list notebooks, add sources, ask questions, and generate audio overviews.

Provides direct access to the Hugging Face Hub for searching models and datasets, fetching metadata, and running inference on text, images, and audio.

Custom MCP server for NotebookLM that adds audio source upload, YouTube source ingestion, source readiness polling, and transcript export, complementing standard Q&A and audio overview tools.

Enables AI agents to interact with Google NotebookLM through MCP, supporting chat, source ingestion, audio overview generation, library management, and citation reading.

A Python-based server that enables accessing and analyzing bird detection data through the Model Context Protocol, offering features like filtering detections, accessing audio recordings, and generating reports.

Enables AI assistants and local LLMs to interact with BirdNET-Go bioacoustic observatories, providing tools to query recent and historical bird detections, monitor station health, and retrieve audio clips.

Enables AI agents to recruit real humans for evaluation tasks like surveys, A/B tests, and ratings on text, images, audio, and video, returning aggregated results directly into the conversation.

Enables agents to gather topic-level evidence from Bilibili through search, comments, transcripts, danmaku, images, frames, audio transcription, and reusable source/video registries. Supports a reproducible workflow for dual-axis source grading, surfacing conflicts, and declaring retrieval gaps.

An MCP server that audits a contract liability clause against a derived company standard, producing a verdict only when grounded in retrieved evidence and passing a faithfulness check. It abstains with 'insufficient-grounding' when evidence is too weak.

MCP server for Google NotebookLM. 27 tools to manage notebooks and sources (web pages, YouTube, text, Google Drive), ask questions answered only from your sources, run web research, and generate Audio and Video Overviews, slide decks, reports, infographics, flashcards and quizzes. Every tool has MCP annotations and a typed output schema. Runs locally with your own Google session.

MCP server for FirstHandAPI that enables AI agents to create and manage human-in-the-loop data collection jobs (photos, audio, video, screen recordings) with automated AI quality scoring.

Enables AI assistants and agents to connect directly to Google NotebookLM through its high-performance internal RPC calls. Provides grounded RAG chat with citations, notebook and source management (URLs, YouTube, Drive files, text), Audio Overview generation and download, persistent session handling, and automated Deep Research.

Enables AI agents to interact with Google NotebookLM, including listing and managing notebooks and sources, asking grounded questions with citations, and generating audio overviews, briefings, quizzes, and mind maps.