"SPARQL query language and tools" matching MCP servers:

Provides AI tools with transcripts of any YouTube video, including videos without captions via AI speech-to-text, with language selection and length capping.

Enables an AI assistant to place user-approved phone calls in the callee's language through your own Bland or Twilio account, with language detection, script generation, cost estimates, and safety guard rails. Includes a preview-then-confirm gate, plus call status, transcripts, and summaries.

AI-powered speech tools by Brainiall: pronunciation assessment with phoneme-level feedback, speech-to-text with language detection, and text-to-speech with multiple voices.

Provides speech recognition (STT) and synthesis (TTS) tools via the Sber SaluteSpeech API, enabling audio transcription and voice generation through natural language.

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.

MCP server that wraps MiniMax platform APIs (speech, video, image, music, and file management) as tools over stdio, enabling natural language interaction with MiniMax's AI services.

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.

An MCP (Model Context Protocol) server that provides seamless integration between Fish Audio's Text-to-Speech API and LLMs like Claude, enabling natural language-driven speech synthesis.

Lets AI assistants manage voice agents, calls, and phone numbers, exposing read and write tools plus spend tools gated behind explicit opt-in.

Provides read-only access to local voice-to-text transcription history from the SayAll wireless mic app on macOS. Enables MCP-compatible assistants to query and paginate past transcripts by time and app with strong privacy boundaries.

Enables agents to transcribe videos in their original language, review uncertain speech against screenshots, and submit corrections while preserving the original transcript and generating exports.

Enables a clinician's spoken visit to be captured and turned into a grounded, dose-free care plan that families can query through Alexa+, using extractive quotations, safety gates, and 12 tools over Streamable HTTP.

MCP server that transcribes local media files and URLs via Deepgram, writing Markdown transcripts to disk with strict per-job cost ceilings and caching. It also provides a CLI and optional transcript formatting through a language model.

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.

Exposes the program's push-to-talk transcript history to MCP clients such as Claude Desktop and Claude Code, letting them fetch recent or latest transcripts, query results by time window, range, or ISO timestamp, search text, look up records by id, and read counts, runtime status, or clear history. Each result carries millisecond-precision hold start/end timestamps alongside the transcribed text.

Enables AI assistants to manage RetellAI voice services including calls, agents, phone numbers, and voices through natural language.

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 AI agents to submit and manage durable long-form audio transcription jobs, and read or export structured transcripts via MCP tools.

Enables control of MentraOS smart glasses through tools for managing text displays, audio output, and input transcriptions. It integrates with Mentra Cloud to facilitate seamless interaction with smart glass hardware using natural language commands.

Enables LLM agents to process local videos into timestamped, citable text documents and then query them through tools for listing videos, retrieving transcripts, and fetching specific segments, all fully offline.

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

Enables LLMs to make voice calls and send SMS messages through the Vonage API, allowing AI assistants to perform real-world telephony operations with support for speech recognition and multi-language conversations.

Dub YouTube videos, local videos or SRT files into other languages with one cloned voice per speaker, synced SRT captions and YouTube multi-language audio tracks.

A self-hosted MCP server over Streamable HTTP that lets a voice assistant query production records, capture persistent shift handovers, and run container-load calculations against synthetic factory data. It enables plant managers and line operators to inspect and update shift state through natural language without any cloud dependency.

Enables agents to discover devices, query their capabilities, invoke system calls, and stage resources or deliver apps to connected WishOS hardware through a self-hosted connector and relay. It routes device-initiated tasks into an existing harness session (Codex, Claude Code, and others), keeping inference, tools, and history with that agent while handling voice, interface, and app transfer to the device.

Self-hosted WhatsApp management over Model Context Protocol, exposing a streamable HTTP MCP endpoint with 30 tools for session/QR pairing, messaging, media storage, and optional on-CPU voice note transcription via whisper.cpp.

Enables Alexa+ and other MCP clients to query live restaurant books with cited answers, surface shop findings and pending approvals, record owner approvals or rejections through guarded commands, and check customer storefront availability, menus, and pickup slots.

Enables voice-driven control of a virtual Micro Duck through MCP tools for actions such as nodding, walking, turning, stopping, status checks, flash steps, and bear shakes, with animation preview and robotd/MuJoCo simulation backends.

Enables read-only, natural-language access to Plaud recordings, including listing recordings, retrieving speaker-attributed transcripts, AI-generated summaries, action items, and user data through MCP tools.

Enables transcription of local audio/video files or public URLs into Brazilian Portuguese text with speaker diarization and export to TXT, SRT, VTT, JSON, or DOCX. Also lets assistants check job status, list history, rename speakers, and query account quota through MCP tools.

Enables natural language generation of speech in any language, voice creation and management, music composition, dubbing, pronunciation dictionaries, and account history/usage through any MCP client using your own API key.

Exposes WebVoice REST API tools to MCP clients for voice, chat, translation, and image generation via natural language.

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.

Provides voice recognition and text extraction capabilities with support for both stdio and MCP modes, processing audio files or base64 encoded data and returning structured results with language, emotion, and speaker information.

Enables local-first analysis of X.com posts by extracting text, images, and video transcripts, then generating summaries, key points, speaker attributions with timestamps, topics, and claims in a requested language through MCP tools.

A self-hostable MCP server for Roshan AI's Persian speech service, Harf, enabling transcription, forced alignment, real-time streaming, and speaker analysis through natural language.

This MCP server fetches and extracts transcripts from YouTube videos, enabling AI language models to access and analyze video content.

Enables natural language control of Reachy Mini robots for tasks like head movement, camera capture, and performing choreographed dances or emotions. It includes local, low-latency text-to-speech capabilities with synchronized head animations for lifelike interaction.

Provides translation and language detection tools to AI agents, processing text, audio, and Google Meet recordings with emotional voice style preservation via Google's Gemini Live API.

Enables users to manage Telegram reminders via natural language or commands, with features like setting, updating, deleting, and listing reminders, while ensuring multi-user privacy.