"Analysis of Grafana Dashboards" matching MCP servers:

Official MCP server for Theta EdgeCloud's On-Demand Model APIs, providing access to 20+ AI models including image generation, audio transcription, and LLMs, directly from MCP-compatible clients.

Enables real-time transcription and heuristic vocal stress analysis of live financial webcasts, providing an LLM with rolling transcripts and a stress score.

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

Provides local audio analysis tools for LLMs, enabling transcription, conversation dynamics, prosody analysis, and visual inspection without API keys.

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

Provides multimedia understanding tools for LLM agents, enabling image, video, audio analysis and speech transcription via cloud-based MiMo V2.5 through OpenAI-compatible endpoints.

A MCP server that enables transcription of audio files using OpenAI's Speech-to-Text API, with support for multiple languages and file saving options.

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

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.

Provides multimodal understanding tools including OCR, image description, audio transcription, UI screenshot analysis, and screenshot comparison via async tools on a multimodal endpoint.

Transcribe public videos and audio (YouTube, TikTok, Instagram, Facebook, Pinterest, Google Drive) into accurate, timestamped text from Claude, ChatGPT, Cursor or any MCP client. Spanish, English and dozens of languages auto-detected. Poll-based (transcription takes minutes), same free-beta limits as the app. Docs: https://justtranscribe.ai/mcp

Enables creating and managing ElevenLabs conversational AI agents with an interactive UI, voice selection, and configuration of agent behavior.

Fetches YouTube transcripts and metadata (title, channel, duration) for URLs, using subtitles or on-device Whisper STT when no subtitles are available, enabling chat-based YouTube video analysis.

Enables audio transcription, intelligent splitting, and meeting analysis for MCP-compatible clients like Claude Desktop.

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.

Gives an AI assistant its own real phone number and email address so it can place and answer calls, book reservations by phone, send and receive texts, and read written summaries, structured details, and transcripts of every conversation. Also manages contacts, persona and voice settings, webhooks, and a unified call/message history through a hosted OAuth-secured MCP endpoint requiring no local code.

Enables efficient analysis of recorded meetings by transcribing audio, extracting only non-people frames (e.g., slides), and associating them with timestamps for compact LLM input.

Enables local transcription of audio/video files and YouTube URLs, generation of SRT/VTT subtitles, and analysis of speech pacing and audience retention risk using faster-whisper.

MCP server for Douyin/TikTok short-video transcript and hook analysis, ranking content by save intent rather than likes and transcribing real speech to find reusable opening structures.

A self-hosted MCP server that connects AI clients to local media-generation backends like ComfyUI and Blender, and provides built-in utilities for video/audio analysis, editing, subtitles, speech, and scene detection via a persistent file cache.