tubealfred

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1. 10/12/2026

   Updated: best for, features, integrations, limitations, plans, platforms, sources, summary, use cases, walkthrough

   See recorded changes

   bestFor

   Before: ["Creators, developers, and AI agents needing reliable and comprehensive YouTube data without managing API keys or infrastructure.","Teams and individuals who want pay-per-usage pricing rather than per-seat subscriptions for YouTube data access."]

   After: ["AI assistants and developers who want to access public YouTube data for research, summarization, and automation without running a local server."]

   features

   Before: ["34 YouTube tools including video, channel, comments, playlist, discovery, utility, and batch tools.","Hosted MCP server with OAuth support for easy integration with AI agents like Claude and ChatGPT.","Supports chaining multiple YouTube data tools in a single run to produce structured content briefs or aggregated data."]

   After: ["Hosted YouTube MCP server with 34 read-only YouTube tools for AI assistants and developers.","REST API and CLI included for developer access and terminal use.","Transcript API to retrieve available video transcripts for analysis and summarization."]

   integrations

   Before: []

   After: ["Integrates with AI assistants Claude, Claude Desktop, Cursor, OpenClaw, Hermes, MCP clients, CLI, and REST API.","Supports connection via OAuth, API keys, and MCP connectors depending on the assistant or developer tool."]

   limitations

   Before: ["TubeAlfred does not guarantee real-time data freshness; data is fetched on demand and may be served from short-lived caches without a universal freshness SLA.","There is no public uptime SLA; TubeAlfred and upstream services can be unavailable or rate limited, requiring clients to implement retry and error handling."]

   After: ["Only public YouTube data is accessible; no private YouTube Studio analytics or video-frame analysis is supported."]

   plans

   Before: []

   After: [{"name":"Monthly plan MCP + API","note":"Automatically extracted from the linked pricing source. Seat allowances, usage limits, taxes and terms are not confirmed — check them with the provider.","annual":null,"monthly":5,"perSeat":false,"currency":"USD","features":[],"extraUnit":null,"unitLabel":"","maximumSeats":null,"minimumSeats":1,"includedUnits":null,"startingPrice":false,"seatsConfirmed":false}]

   platforms

   Before: []

   After: ["Accessible via hosted MCP server URL https://mcp.tubealfred.com/ with no local server required."]

   sources

   Before: [{"url":"https://tubealfred.com/","label":"TubeAlfred — YouTube Data for AI Agents and Developers"},{"url":"https://tubealfred.com/pricing","label":"TubeAlfred Pricing | API Credits for YouTube MCP, Transcripts and Comments"},{"url":"https://tubealfred.com/integrations","label":"YouTube MCP Server & API Integrations | TubeAlfred"}]

   After: [{"url":"https://tubealfred.com/","label":"YouTube MCP Server for Claude & ChatGPT | TubeAlfred"},{"url":"https://tubealfred.com/pricing","label":"TubeAlfred Pricing | API Credits for YouTube MCP, Transcripts and Comments"},{"url":"https://tubealfred.com/integrations","label":"YouTube MCP Server & API Integrations | TubeAlfred"}]

   summary

   Before: "TubeAlfred provides a comprehensive set of 34 YouTube data tools accessible via MCP, REST API, CLI, and free tools without requiring a YouTube Data API key. It enables AI agents and developers to retrieve transcripts, comments, channels, search results, playlists, and video data through a hosted MCP server and integrations with various AI clients."

   After: "TubeAlfred is a hosted YouTube MCP server providing 34 read-only YouTube tools for AI assistants and developers to access public YouTube data such as transcripts, comments, search, and video data. It offers a REST API and CLI for integration and supports multiple AI assistants like Claude and ChatGPT without requiring a local server."

   useCases

   Before: ["AI agents and developers can automate YouTube data research workflows such as competitor video analysis and comment mining.","Developers can integrate YouTube data into apps, workflows, and automation tools using REST API, MCP, CLI, and hosted connectors."]

   After: ["Compare video reviews and analyze topics covered by YouTube channels using transcripts and comments.","Turn YouTube tutorials into step-by-step checklists and answer viewer questions from comments."]

   walkthrough

   Before: ["Connect the hosted MCP server URL in Claude by adding a custom connector and authorizing TubeAlfred to pull YouTube data.","Install the TubeAlfred MCPB extension into Claude Desktop for local MCP setup using an API key.","Use the TubeAlfred CLI tool with an API key for terminal, shell, and script workflows accessing YouTube data."]

   After: ["Choose your AI assistant (Claude, ChatGPT, Grok, or another compatible MCP client).","Add TubeAlfred by following the connection guide and signing in to your account.","Ask your question starting with a video URL or topic; the assistant chooses the tools to retrieve data."]