"AirPlay Audio" matching MCP servers:

An MCP server enabling AI-generated content orchestration by exposing vendor-agnostic tools for video, image, and audio generation through SOP-driven workflows.

Enables supported AI clients to discover, inspect, and execute 2,000+ models and APIs, including free data APIs and paid LLM, image, video, and audio calls, with OAuth, pricing checks, and rollback.

Analyzes audio files to extract exact, reproducible measurements like loudness, tempo, key, spectral balance, and clipping for LLM-based DAW control.

A TypeScript framework for building MCP servers with features for client sessions, authentication, image/audio content, and typed server events.

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.

Routes your AI tasks to the best available model across 20+ providers — automatically selecting based on task type, budget, and subscription pressure. Supports text, image, video, and audio with built-in cost optimization and fallback chains.

Media Execution Control Layer for AI Agents. Reserve-execute-burn/refund pattern. FFmpeg post-processing (format conversion, audio normalization) Supports Flux2 Pro, Veo 3.1, Suno V5.

Execution control layer for AI agents - Reserve, execute, burn/refund pattern for media generation

A Model Context Protocol server that enables AI agents to create fully mixed and mastered tracks in REAPER DAW, supporting project management, MIDI composition, audio recording, and mixing automation.

Enables AI assistants to pause and request user feedback through an auto-launching browser interface, where users can select or edit prompts, type responses, upload images, and auto-submit on a timer. It supports local, SSH remote, and WSL setups with session tracking, audio notifications, and multi-language web UI.

Enables AI assistants to discover and invoke 2,000+ models and APIs—including web search, social media, scraping, image/video generation, and audio—through a single local MCP bridge using OAuth, with no per-API keys.

Enables AI clients to discover, inspect, and run 2,000+ AI models and data APIs—including LLMs, image, video, and audio generation—through a single authenticated local bridge with per-call pricing shown before execution. It also supports run status tracking, account balance checks, and rollback from one browser sign-in.

Enables MCP clients to discover, inspect, and run 2,000+ AI models and data APIs, including search, social, scraping, image, video, and audio tools, through one browser-authorized local bridge. It also surfaces run status, recorded cost, and account balance, and supports rolling back client configuration changes.

It connects supported AI clients to 2,000+ AI models and APIs through a local MCP bridge, enabling discovery, inspection, and execution of search, data, LLM, image, video, and audio capabilities with OAuth sign-in and rollback.

A local MCP bridge that connects AI clients such as Claude Code, Cursor, Codex, ChatGPT, and Hermes to 2,000+ models and APIs, letting agents discover, inspect, and run search, social, scraping, finance, LLM, image, video, and audio capabilities behind a single browser sign-in. It keeps spending verifiable by exposing live schemas, pricing, run status, account balance, and rollback before anything executes.

Lets AI coding clients discover, inspect, and run 2,000+ AI models and data APIs—including search, social, scraping, finance, image, video, and audio—from their own sessions after a single browser sign-in. It also supports catalog browsing before any spend, per-call pricing checks, run-status and cost review, and rollback of client configuration.

It enables AI clients to discover, inspect, and run over 2,000 AI models and APIs—including free data APIs and paid LLM, image, video, and audio models—through a local MCP connection with OAuth and rollback.

Connects AI clients to 2,000+ AI models and APIs over the Model Context Protocol, letting agents discover, inspect, and run search, data, LLM, image, video, and audio capabilities after a single browser sign-in. It handles OAuth authorization, pricing and schema inspection before each call, run status and balance checks, and safe rollback of client configuration.

A local bridge that lets AI clients discover, inspect, and run 2,000+ AI models and data APIs—search, social, scraping, e-commerce, finance, image, video, and audio—after a single browser sign-in. It exposes tools for catalog discovery, schema and pricing inspection, run status tracking, and account balance checks, with data APIs free and models billed per call.

Connects AI coding assistants and other clients to 2,000+ models and APIs — search, social, scraping, e-commerce, finance, plus LLM, image, video, and audio generation — through a local MCP bridge that needs no per-API keys. Users approve a single browser sign-in, then agents can discover, inspect pricing and schemas, run calls, track run status, and roll back configuration changes.