"An MCP server for searching public repositories of MCP and LLM tools and skills" matching MCP servers:

MCP server and agent skills for Tough Tongue AI, enabling handling tough conversations through voice agents, scenario creation, and session analysis.

Enables coding agents to watch and analyze videos by extracting scene-aware frames, transcribing speech, and generating shot timelines, all constrained by a token budget to fit LLM context limits.

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.

Enables Claude Code to leverage Chinese LLMs for multimodal tasks including image analysis, audio transcription, and deep synthesis via MCP protocol.

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.

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

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.

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.

An MCP server for Djelia that brings Bambara transcription, translation, and text-to-speech to any LLM.

Provides access to Whissle AI services for speech-to-text, speaker diarization, translation, and text summarization. It enables users to process various audio formats and manage text content through natural language tools.

Extracts and formats Bilibili video content into structured text for LLM processing and analysis.

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 AI to analyze audio files for loudness, voice quality, and more via the AudioLab API, supporting both public URLs and local files.

Manage voice AI agents from Claude Code, Cursor, VS Code, or any MCP-compatible assistant.

MCP server exposing NaN API media tools (image generation/editing, text-to-speech, speech-to-text, embeddings, reranking) for any MCP-compatible client.

Enables AI agents to submit podcast URLs and retrieve clips, trailer, show notes, guest-share link, and transcript via the Clypt API.

Local MCP voice coach that provides English pronunciation, grammar, and fluency feedback from microphone recordings. It supports free-form voice conversation, focused practice drills, phoneme-level feedback, prosody hints, and learner-profile guidance.

Integrates OpenAI APIs into MCP-compatible clients, providing tools for text generation, chat completions, model discovery, image creation/editing, audio transcription, speech synthesis, embeddings, and content moderation.

Provides browser automation, audio transcription, and LLM chat as MCP tools for any agent.

MCP server that synthesizes Claude Code responses into Japanese speech using VOICEVOX, enabling audible feedback during development.