DeepSRT MCP Server
OfficialRelated Servers
Alternatives to DeepSRT MCP Server
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityDmaintenanceMCP server for YouTube video summarization via Whisper transcription, enabling summarization and transcript retrieval without relying on subtitles.-
- AlicenseAqualityDmaintenanceA powerful MCP server for summarizing YouTube videos with transcript fetching, intelligent summarization, key point extraction, and metadata retrieval.4MIT
- AlicenseNot gradedqualityCmaintenanceThis MCP server enables users to analyze YouTube videos by extracting transcripts and generating specialized content like summaries, chapter timestamps, and social media posts.Apache 2.0
- AlicenseAqualityAmaintenanceMCP server that fetches YouTube video transcripts and optionally summarizes them. Supports multiple transcript formats (text, JSON, SRT, WebVTT), multi-language retrieval, and flexible YouTube URL parsing.637 PyPI6MIT
- AlicenseAqualityCmaintenanceAn MCP server that enables the extraction of transcripts and detailed metadata from YouTube videos. It allows users to retrieve video information like titles and descriptions, as well as transcripts with optional timestamps and language selection.2MIT
- FlicenseNot gradedqualityDmaintenanceAn MCP server that enables interaction with the YouTube Data API, allowing users to search videos, get video and channel details, analyze trends, and fetch video transcripts.-
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: one retrieves a summary, the other retrieves a transcript with timestamps. There is no overlap in functionality, making it easy for an agent to select the correct tool based on the need for either a concise overview or detailed textual content.
Both tools follow a consistent verb_noun pattern (get_summary, get_transcript), using the same verb 'get' and descriptive nouns. This uniformity makes the tool set predictable and easy to understand.
With only two tools, the server feels thin for a domain like YouTube video processing. While the tools cover basic retrieval, the scope is limited, lacking operations such as search, analysis, or management of video content, which could be expected from a more comprehensive server.
The tool set is severely incomplete for a YouTube-focused server. It only provides retrieval functions (summary and transcript), missing essential operations like video search, metadata fetching, comment handling, or any CRUD capabilities, leaving significant gaps in coverage for typical agent workflows.