TranscriptFetch MCP Server
OfficialAllows fetching YouTube transcripts, searching videos, and listing channel and playlist videos.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@TranscriptFetch MCP ServerGet transcript for video dQw4w9WgXcQ"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
TranscriptFetch MCP Server
A Model Context Protocol server that gives any MCP client (Claude Desktop, Cursor, and others) access to the TranscriptFetch API: fetch YouTube transcripts, search videos, and enumerate channels and playlists.
Runs locally over stdio and calls the TranscriptFetch API with your key. Prefer a hosted, remote server? Point your client at https://transcriptfetch.com/mcp instead (OAuth or API key).
Tools
Tool | What it does |
| Full transcript for a single video (ID or URL) |
| Search YouTube by keyword |
| List a channel's videos (handle, ID, or URL) |
| List a playlist's videos (ID or URL) |
Each successful fetch costs 1 credit. Get a key (100 free credits) at the dashboard.
Related MCP server: YouTube MCP Server
Install
No install needed. Run it on demand with npx:
TRANSCRIPTFETCH_API_KEY=tf_live_... npx transcriptfetch-mcpOr install globally:
npm install -g transcriptfetch-mcpRequires Node 18+.
Run from source
Until the package is on npm, you can run it straight from the repo:
git clone https://github.com/TranscriptFetch/mcp-server
cd mcp-server && npm install && npm run buildThen set your client's command to node with the built entrypoint (see the config below, using "command": "node" and "args": ["/absolute/path/to/mcp-server/dist/index.js"]).
Client configuration
Claude Desktop
Add this to claude_desktop_config.json (Settings then Developer then Edit Config):
{
"mcpServers": {
"transcriptfetch": {
"command": "npx",
"args": ["-y", "transcriptfetch-mcp"],
"env": { "TRANSCRIPTFETCH_API_KEY": "tf_live_..." }
}
}
}Cursor
Add the same block under mcpServers in your Cursor MCP settings.
Restart the client, and the four tools appear.
Example
Once connected, ask your assistant naturally:
Get the transcript for https://youtu.be/aircAruvnKk and summarize the key points.
Search YouTube for "how transformers work" and list the top 5 videos.
List the latest videos from @lexfridman and pull the transcript of the newest one.
The assistant picks the matching tool and works from the returned transcript or video list.
Configuration
Env var | Required | Default |
| yes | none |
| no |
|
Links
API docs: https://transcriptfetch.com/docs
MCP docs: https://transcriptfetch.com/docs/mcp
Python SDK: https://github.com/TranscriptFetch/python-sdk
License
MIT
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