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MCP youtube transcript: MCP server, setup and security

MCP youtube transcript is an open-source MCP server published on GitHub that lets an AI agent retrieve transcripts of YouTube videos through an MCP server. Its repository has 492 stars and its last commit is from October 21, 2026 and it is licensed under MIT.

Score
72/100
Adoption (stars) 27/40
Maintenance 30/30
Framework (licence, registry, official) 15/30
Actively maintained

What MCP youtube transcript does

According to its repository: “An MCP server retrieving transcripts of YouTube videos”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. MCP youtube transcript is listed under Image, video and audio, a category of 67 servers in the directory, where it ranks #8 by stars.

Topics declared by the repository: python, youtube.

Installing and connecting MCP youtube transcript

Distribution modes declared in the official MCP registry:

  • MCPB bundle (one-click install in Claude Desktop)

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: Python.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to MCP youtube transcript. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on February 8, 2025, the jkawamoto/mcp-youtube-transcript repository has 492 stars and 77 forks, with 7 open issues. It has more stars than 88% of the servers in the directory. It received changes this month. Version published in the registry: 0.8.1 (October 21, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

ScreenpipeScreenpipe : 22.1K22.1KFunASRFunASR : 20.8K20.8KRemove AI WatermarksRemove AI Watermarks : 6.1K6.1KOpenScreenOpenScreen : 4.9K4.9KOpenPostOpenPost : 755755FableCutFableCut : 746746Anki MCP ServerAnki MCP Server : 531531MCP youtube transcriptMCP youtube transcript : 492492
GitHub stars of the most followed servers in the category (log scale); MCP youtube transcript in orange. Checked October 25, 2026.

Verdict

MCP youtube transcript is a reasonable choice; check the points below before connecting it.

Strengths

  • Active project: recent commit
  • Widely followed: 492 stars
  • Listed in the official MCP registry
  • Permissive licence (MIT)

Frequently asked questions

How do I install MCP youtube transcript?

MCP youtube transcript is distributed as MCPB bundle (one-click install in Claude Desktop). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of jkawamoto/mcp-youtube-transcript.

Is MCP youtube transcript free?

The code is published under the MIT licence and can be used free of charge.

Is MCP youtube transcript safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by jkawamoto on GitHub. Check who maintains it before giving it access.

What are the alternatives to MCP youtube transcript?

In the same category: OpenScreen, Remove AI Watermarks, FunASR, and Oh My Cassette. OpenScreen and Remove AI Watermarks score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score