"AirPlay Audio" matching MCP servers:

MCP server providing tools for web scraping, browser automation, computer vision, audio transcription, and RAG via API.

Serverless document and media processing with AI chat. Upload documents, images, video, and audio — extract text with OCR or transcription — query using Amazon Bedrock.

Enables AI agents to interact with Google NotebookLM through browser automation, supporting notebook management, source addition, question answering, and audio overview generation.

Enables AI agents to audit URLs or raw HTML for SEO, AEO, and GEO performance, generate llms.txt manifests, and check the tool version via MCP tools.

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

Enables transcription of audio files using Google Gemini AI and creates a searchable knowledge base, allowing users to ask natural language questions about content in meetings, podcasts, lectures, and other audio recordings.

It converts documents to Markdown or docling JSON for AI agents. That covers PDFs with layout analysis, table structure and OCR, plus DOCX, PPTX, XLSX, HTML, EPUB, e-mail, images and audio. It serves MarkItDown's "convert_to_markdown" tool under the same name and contract, along with "convert" and "list_input_formats".

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.

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.

Provides read-only tools to search, browse, and retrieve lessons, lesson-plan seeds, books, age-leveled booklets, chapter audio, and public media URLs, along with deterministic recommendations scored by age band and learning style. Designed for Cursor and Grok Bot, it stores no learner data and returns public links rather than proxying file bytes.

Enables interaction with Google's NotebookLM via the Model Context Protocol to manage notebooks, sources, and research tasks. Users can create, query, and summarize content, as well as generate artifacts like audio overviews and slide decks using natural language.

A multimodal local memory MCP server that lets AI agents search across text, PDFs, images, audio, and video using Gemini Embedding 2 and a local ChromaDB.

Persistent semantic memory for MCP-compatible agents, enabling them to remember and recall text, audio, and documents across sessions.

A Model Context Protocol server for indexing and searching local document collections with hybrid BM25+vector search, optimized for Korean and English, supporting DOCX, PDF, audio, and more.

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Enables agents to ask questions against Google notebooks and receive citation-backed answers with quoted source excerpts, while also generating and downloading audio overviews, videos, infographics, reports, presentations, data tables, flashcards, quizzes and mind maps. Multi-account rotation with automatic re-authentication keeps long, high-volume batch runs going without manual intervention.

Enables users to automate Google NotebookLM for citation-backed Q&A and full Studio content generation — audio overviews, video, infographics, reports, presentations, data tables, flashcards, quizzes and mind maps — over either an HTTP REST API or MCP. Supports multi-account rotation with automatic re-authentication, so long batch runs across personal and Google Workspace accounts continue without babysitting.

Enables agents to run citation-backed Q&A over Google NotebookLM notebooks with source excerpts, generate Studio artifacts such as audio overviews, video, infographics, reports, presentations, data tables, flashcards, quizzes, and mind maps, and sustain long batch runs through multi-account rotation with automatic re-authentication.

Enables AI agents to drive Google NotebookLM notebooks as a deep-research workspace: ingesting local PDFs and YouTube videos, cross-checking sources for contradictions, identifying knowledge gaps, generating audio overviews, and exporting Markdown dossiers with BibTeX and APA bibliographies. It operates over the Model Context Protocol inside Google Antigravity IDE, with browser-session authentication handled automatically.

Enables AI agents to run SearXNG-powered metasearch across multiple engines and categories, with optional vector-based semantic re-ranking of results and Tavily-compatible responses. It also converts many document and media formats—including PDF, Office files, Outlook messages, and audio or YouTube recordings—into text.