"Using llama.cpp and Searxng with local models" matching MCP servers:

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.

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 a local, cost-controlled voice assistant for macOS that routes requests between local and Claude models, provides draft-only email and calendar access via Thunderbird and Granola with a restricted allowlist, and supports meeting follow-ups.

Provides local vision and audio perception for MCP-compatible agents, enabling them to read images, transcribe text from visual media, analyze videos, and convert speech to text entirely on-device. It is privacy-focused with no cloud upload or API keys by default, using Ollama for inference.

Enables MCP clients to speak by running local voice models using Chatterbox Turbo TTS or Kokoro TTS, with support for voice cloning, paralinguistic tags, and multiple voices.

Private, local audio and video transcription for Claude: an MCP server that runs Whisper on your computer, on the GPU or CPU, with text, SRT subtitle, or JSON output. Works with Claude Desktop, Claude Code, and claude.ai.

Enables submitting audio via URL or Base64 for local Whisper transcription, then checking job status and results or deleting transcription jobs. It provides asynchronous job handling and SSRF-protected downloads/callbacks without cloud API calls.

Enables coding agents to generate local GPU-accelerated narration audio from text, with tools for speech generation, job continuation, and model or voice queries.

A FastMCP server that exposes a locally-hosted llama.cpp LLM as MCP tools, plus utilities for weather, news, web fetching, file I/O, and more. Enables MCP-compatible clients to use a local GGUF model for text generation without external APIs.

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.

Transcribes audio/video files to text using NVIDIA's Parakeet TDT 0.6B V2 model, with optional timestamps; also retrieves model and system hardware info.

Enables text-to-speech and speech-to-text through MCP tools, using Groq's free hosted endpoints when configured and falling back to fully local keyless models otherwise. Also provides voice listing and provider health checks.

Enables agents to inspect local videos, audio recordings, and documents by producing storyboard grids, timestamped transcripts, page images, and page-aligned text, with tools for probing media, zooming into details, locating terms, and reading subtitles. It works only with local absolute paths and does not download content or call an LLM.

Enables transcription of videos and audio from 1000+ platforms (YouTube, Bilibili, TikTok, etc.) using subtitle extraction first, then local Whisper transcription, with support for long videos, async tasks, and Chinese ASR optimization.

MCP server for local speech-to-text using Whisper Large V3 (MLX), enabling audio transcription with text/timestamps/SRT output and LLM-based correction, all running offline on Apple Silicon.

Local MCP server that adds multimodal capabilities to text-only models like Codex/DeepSeek, offering tools for image description, audio transcription, video analysis, image/video generation, and speech synthesis.

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

Enables generating images, video, audio, and speech from MCP clients using your own Vidofy account, with access to hundreds of models for text-to-video, image-to-video, image editing, lipsync, text-to-speech, and voice cloning.

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.

Enables AI models to speak and sing using retro-style formant speech synthesis, converting text or phoneme strings to WAV audio via MCP tools.