"A server for finding indoor design ideas and inspiration" matching MCP servers:

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

A local stdio MCP server that enables validated access to official ElevenLabs APIs with cost controls, local media storage, and audio export for Godot.

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.

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.

Enables shopkeepers to manage a credit ledger by voice in Hinglish—adding udhaar, recording payments, checking balances and top defaulters, drafting WhatsApp reminders, and mapping nicknames to customers.

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.

Enables any MCP-compatible client to perform local voice cloning and text-to-speech using OmniVoice, including voice profile management, voice design, and an optional ASMR post-processing DSP pipeline.

Official Model Context Protocol (MCP) Server for QuickerSpot — AI-powered commercial radio and retail sound automation. Connect your AI Assistants (Cursor IDE, Claude Desktop, Antigravity, Hermes Agent, OpenClaw) directly to QuickerSpot's ElevenLabs V3 voice engine, AI script generator, and indoor radio mixer.

Fast MCP Telegram — Production-grade Telegram MCP server with direct MTProto API, multi-user ACL, dual transport (stdio + HTTP SSE), voice transcription, and context-optimized design. One-command setup with uvx fast-mcp-telegram

Turns Claude or ChatGPT into a live system design interviewer that watches a hand-drawn whiteboard, reads the diagram as structured data or an image, hears spoken answers, pins questions on components, and grades the session. Everything runs locally, so users can practice mock interviews on their own machine without API keys.

Enables access to a backend's native MCP tools and broader HTTP API for speech generation, voice cloning/design, transcription, dubbing, translation, subtitles, audiobooks, and related batch/long-form workflows over Streamable HTTP or local stdio.

A Model Context Protocol server that enables fast and free lipsync video creation for a wide range of digital avatars, supporting both audio and text inputs to generate synchronized lip movements.

Enables autonomous agents to orchestrate HubX mobile AI tools for vision diagnostics, voice transcription, photorealistic image generation, and spatial design through a native MCP interface.

MCP server for Chamade — a voice and chat gateway that lets your AI agent join meetings and DMs on Discord, Microsoft Teams, Google Meet, Telegram, SIP, Zoom, Nextcloud Talk, Slack, and WhatsApp.

Read-only MCP server for Telegram that enables reading messages and transcribing voice, audio, and video notes via the Telegram API for use with Codex and Claude Code.

Enables MCP-compatible clients to generate images and videos, synthesize speech, clone voices, and design custom voices through MiniMax AI APIs.

Enables Claude to run a structured learning program by selecting topics, delivering lectures to a local site, reading and grading answers, tracking progress, and closing completed topics. It also serves a localhost website for viewing the curriculum and progress.

Enables ChatGPT on the web to generate and play spoken audio through an embedded player, exposing a speak tool that renders text with selectable styles and scenes via configurable text-to-speech providers. It routes each request across ElevenLabs, Cartesia, Azure Speech, and DashScope in a configured failover order, picking providers by language and scenario.

Enables MCP clients to place, monitor, and hang up phone calls through authenticated tools, retrieve transcripts, and exchange correlated task results with a waiting host. It supports simulated or live calling with persisted call lifecycle records, duration limits, and idempotent requests.

Enables Alexa+ to coordinate a household through 14 MCP tools: it tracks family members, auto-assigns and completes chores by workload, adds calendar events while reporting clashes, rotates pickup duty, manages a grocery list, and returns a spoken morning briefing with reasoning for every decision.

A comprehensive audio MCP server that enables AI agents to generate speech, transcribe audio, clone voices, analyze speech quality, design soundscapes, and manage audio assets through a standardized interface.

Enables AI agents to ring or text a user's actual iPhone, read a question or update aloud, and return the spoken answer back to the agent as text. Calls and messages land in a single titled thread per agent, with tools for polling results, waiting for replies, and labeling conversations.

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.

Enables MCP-compatible clients to generate images and videos, synthesize speech, clone voices, and design custom voices through MiniMax APIs, with configurable transport modes and resource output.

Enables an AI agent to read and send real iMessages—including text, voice notes, stickers, links, images, and reactions—through a managed cloud phone line without needing a Mac.

A Model Context Protocol server implementation that enables AI assistants to interact with RetellAI's voice services for managing calls, agents, phone numbers, and voice options.

Enables image generation and editing, speech transcription and synthesis with voice design, video generation, and background agents that analyze images, audio, and video, with capability-driven model selection from a config file.

Enables autonomous agents to orchestrate HubX mobile AI tools for plant and nutrition vision diagnostics, voice transcription and summarization, photo-realistic portrait and art generation, and interior/exterior spatial design through structured JSON outputs.

Enables MCP-compatible clients to generate images and videos, create text-to-speech audio, clone or design voices, and manage output through configurable transports.