"Developer tools for a NextJS and FastAPI tech stack with Firebase and Vercel" matching MCP servers:

Enables chat-driven audio analysis and enhancement using local Claude, including denoising, EQ, compression, and loudness normalization, with an A/B viewer for synchronized comparison.

Self-host a realtime voice-call companion for coding agents. Exposes an MCP endpoint that agents can poll as an alternate input stream.

An MCP server enabling video processing via natural language: transcription with Whisper, segment cutting with FFmpeg, and file management.

Enables AI agents to synthesize and play short summaries aloud while keeping full answers on screen, with queued speech and stop control using online natural voices or offline synthesis.

A FastAPI backend that integrates with ElevenLabs MCP to create an AI agent capable of making outbound calls and delivering friendly, jargon-free tech news updates.

Enables MCP clients to leverage the Intel Arrow Lake NPU for local speech transcription, screenshot OCR, private semantic search, and hardware diagnostics, all processed locally.

Enables room agents to generate or edit images (published directly into the room's Docs rather than passed through the model's context) and transcribe audio attachments, using the deployment's media providers with the room itself acting as the credential.

Enables control of Spotify playback, music search, and playlist management through natural language commands. Available in both Python and Vercel implementations with comprehensive OAuth2 authentication and device management.

Enables voice assistants to find nearby service providers, connect users to live video representatives for natural conversation, and handle appointment booking. It also returns confirmed bookings so the assistant can add them to its calendar.

An MCP server providing tools for speech-to-text, translation, language detection, question answering, and text-to-speech using Sarvam AI models, enabling multilingual voice agents.

Provides various AI capabilities through DeepInfra's OpenAI-compatible API including image generation, text processing, embeddings, speech recognition, object detection, and classification tasks. Enables users to access multiple AI models for diverse tasks like generating images from prompts, transcribing audio, analyzing text sentiment, and performing computer vision operations.

Enables users to convert text into high-quality audio by accessing the OpenAI Text-to-Speech API. It supports customizable model selection and voice options for synthesized speech generation via the MCP protocol.

Enables hands-free voice collaboration with a coding agent: you speak requirements aloud and hear only short, plain-language progress and completion summaries while the agent edits code, runs tests, and fixes bugs in the background. It also handles continuous speech recognition with automatic turn detection, barge-in interruption, and spoken approval prompts before risky operations.

Enables AI agents to place real phone calls to US businesses in plain English — booking, canceling or rescheduling tables and appointments, verifying details, checking stock and requesting quotes — with IVR navigation and hold handling done automatically. Returns a labeled outcome, full transcript and recording, and can find candidate businesses when no phone number is known.

Enables students to ask by voice whether a specific topic is examinable on their exam — the digital SAT and PSAT, ACT, 24 AP courses, Alberta Diploma, and Singapore-Cambridge A-Level — returning the official syllabus's own wording, objective codes, and quoted exclusions rather than a guess. It also remembers which exams a student is taking and when, quizzes them on objectives, and reports weakest topics and days remaining for revision.

Enables MCP-capable chat clients to synthesize speech from text, convert it with a local RVC voice model, and render the result in an inline audio player.

Enables AI clients to watch and hear videos from local files or YouTube, Vimeo, and Loom links by returning timestamped key frames, a transcript, a contact sheet, and a combined timeline, with all processing done locally.

MCP server for SpeechWeave transcription, enabling AI assistants to transcribe local files and URLs via wait-first or async tools.

MCP server that scores dialogue transcripts for bridging quality, offering per-speaker indicator scores with evidence and tools for parsing, comparing, and analyzing conversations.

Enables spoken conversations with Claude on a Mac: Claude speaks through speakers, listens to the user's natural replies, and transcribes them locally. No audio leaves the computer, and it includes tools for voice setup and a hands-free voice mode.

Enables AI agents to generate spoken audio locally on a GPU via the Chatterbox models, with zero-shot voice cloning from reference clips, multilingual output, and sentence-aligned chunking for long text.

Enables MCP-capable assistants to transcribe local audio files or URLs and perform speaker diarization for Spanish and Portuguese audio, with options for speaker count hints, domain prompts, and transcript retrieval in multiple formats.

Provides a catalog of paid micro-work tools for text processing, speech, and image generation with fixed USDC pricing via x402. Enables agents to discover capabilities, get quotes, and prepare calls without handling wallet keys.

Provides local audio transcription using whisper.cpp, supporting multiple models and audio formats. Enables transcription of audio files via MCP tools with optional timestamps.

Pay the provider's own price. No markup, no subscription. Use 400+ Vercel AI Gateway models, including Veo, Kling, Seedance, Nano Banana and GPT Image, to make video, images, voice and text right inside Claude, ChatGPT or any MCP app. Deploy your own copy to Vercel in one click; every call is billed to your own Gateway credits.

Gives AI assistants read-only access to a conference stream's live captions and translations, saved transcripts, glossary context, and audience questions, using a developer API key from the portal. It can also be used through a hosted HTTP endpoint at mcp.deafassistant.com, so clients can connect without installing anything.

An MCP server that enables voice-to-voice AI conversations using ElevenLabs for speech synthesis and recognition, with tools for voice management, text-to-speech, and speech-to-text.

A local MCP server that lets users control their computer via voice commands, executing CLI tools, searching files, and receiving spoken feedback, with safety gating and confirmation.

An MCP server for audio-to-text transcription using Google's Gemini API via OpenRouter, offering multiple tools for raw, cleaned, or formatted transcripts with support for local and remote deployment.

Enables searching and managing local clipboard and transcription history on macOS, and provides contact resolution, profile lookup, and log-append tools for a voice-driven Android launcher while keeping data on the Mac.