Skip to main content
Glama
TranscriptFetch

Social Media Video Transcripts

Official

TranscriptFetch MCP Server

A Model Context Protocol server that gives any MCP client (Claude Desktop, Cursor, and others) access to the TranscriptFetch API: fetch transcripts from YouTube, TikTok, Instagram, X and Facebook, search videos, enumerate channels and playlists, and check your credit balance.

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

get_transcript

Transcript for a video. YouTube, TikTok, Instagram, X, Facebook, or a direct media URL. Set ai_fallback: true to transcribe the audio when no captions exist

search_videos

Search YouTube by keyword (YouTube only)

list_channel_videos

List a channel's videos (handle, ID, or URL)

list_playlist_videos

List a playlist's videos (ID or URL)

get_credits

Remaining credit balance for the key. Never billed

Each successful fetch costs 1 credit. Failed, blocked and empty results are never charged, which matters on short-form video where many clips have no speech at all. Get a key at the dashboard. Accounts start with 100 free credits and are topped back up to 100 at the start of each month.

Related MCP server: YouTube Transcript MCP Server

Install

No install needed. Run it on demand with npx:

TRANSCRIPTFETCH_API_KEY=tf_live_... npx -y transcriptfetch-mcp

Or install globally:

npm install -g transcriptfetch-mcp

Requires Node 18+.

Run from source

git clone https://github.com/TranscriptFetch/mcp-server
cd mcp-server && npm install && npm run build

Then point your client at the built entrypoint with "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 five 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.

How many TranscriptFetch credits do I have left?

The assistant picks the matching tool and works from the returned transcript or video list.

Configuration

Env var

Required

Default

TRANSCRIPTFETCH_API_KEY

yes

none

TRANSCRIPTFETCH_BASE_URL

no

https://transcriptfetch.com

Docker

The server speaks MCP over stdio, so there is no port to expose. -i is required: without an attached stdin the transport closes immediately and the container looks like it crashed.

docker build -t transcriptfetch-mcp .
docker run --rm -i -e TRANSCRIPTFETCH_API_KEY=tf_live_... transcriptfetch-mcp

License

MIT

Install Server
A
license - permissive license
A
quality
A
maintenance

Maintenance

Maintainers
Response time
0dRelease cycle
2Releases (12mo)
Commit activity

Related MCP Servers

View all related MCP servers

Related MCP Connectors

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/TranscriptFetch/mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server