multimodal-reader-mcp
Related Servers
Alternatives to multimodal-reader-mcp
No user-submitted related servers found.
Related Servers
- AlicenseBqualityFmaintenanceMCP (Model Context Protocol) server that utilizes the Google Gemini Vision API to interact with YouTube videos. It allows users to get descriptions, summaries, answers to questions, and extract key moments from YouTube videos.410 npm6MIT
- AlicenseNot gradedqualityDmaintenanceMCP server that connects Claude Desktop to Google Gemini, enabling multimodal analysis with file attachments (video, image, audio, PDF).72 npmMIT
- FlicenseNot gradedqualityCmaintenanceMCP server exposing claude-video functionality for claude.ai web UI via HTTP+SSE, enabling video watching and analysis from claude.ai.-
- AlicenseNot gradedqualityDmaintenanceA local MCP server for extracting YouTube video transcripts, metadata, and performing visual analysis using Gemini Vision or local Whisper models. It enables users to process video content through various tools for subtitle retrieval and frame analysis.10 npmMIT
- AlicenseAqualityDmaintenanceAn MCP server that enables AI agents to analyze videos locally by extracting transcripts, detecting scene changes, and returning key frames.56MIT
- AlicenseAqualityFmaintenanceProduction-grade MCP server for image and video understanding and generation across Gemini, OpenAI, and Grok.5564 PyPI4Apache 2.0
TDQS
Scored across 1 tool
Only one tool exists, so there is no possibility of confusing it with another. The tool's purpose is clearly described as reading local audio/video files.
The single tool name 'read_media' follows a consistent verb_noun pattern, though with only one tool, consistency is trivially satisfied.
A single tool feels too thin for a server claiming to be 'multimodal.' The name implies broader media coverage, but only one generic reading operation is provided, which is too few for the apparent scope.
The tool only supports audio and video, leaving out images and other media types that multimodal implies. There are also no supporting operations like format listing or metadata retrieval, creating significant gaps for a reader.