MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Description from the maker (original English)
Instagram & TikTok data tools: demographic user search, analytics, posts, comments, hashtags.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
DATALIKERS_API_KEY, AuthorizationValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"datalikers": {
"command": "npx",
"args": [
"-y",
"datalikers-mcp"
],
"env": {
"DATALIKERS_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add --transport http datalikers https://mcp.datalikers.com/mcp/ --header 'Authorization: your-value'claude mcp add datalikers --env DATALIKERS_API_KEY=your-value -- npx -y datalikers-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"datalikers": {
"url": "https://mcp.datalikers.com/mcp/",
"headers": {
"Authorization": "your-value"
}
}
}
}Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"datalikers": {
"command": "npx",
"args": [
"-y",
"datalikers-mcp"
],
"env": {
"DATALIKERS_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"datalikers": {
"type": "http",
"url": "https://mcp.datalikers.com/mcp/",
"headers": {
"Authorization": "your-value"
}
}
}
}Paste into .vscode/mcp.json in your project
{
"servers": {
"datalikers": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"datalikers-mcp"
],
"env": {
"DATALIKERS_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Your choice stays on this device in a cookie; no account needed.
Authorization secret required HTTP headerThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account subzeroid, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: DATALIKERS_API_KEY, Authorization
Either way works: install it on your computer or connect to the cloud version.
The GitHub repo last changed –, and the latest version (1.0.2) reached the registry 31 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
An MCP server retrieving transcripts of YouTube videos
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
MCP server for DataLikers — access Instagram & TikTok data directly from Claude, Cursor, and other AI assistants. Available on npm: datalikers-mcp.
[Sign up with this link](https://datalikers.com/p/1by27bwg) and get 100 free DataLikers requests — no credit card required. Enough to wire up the MCP server, try a few prompts in Claude/Cursor/Codex, and evaluate the data quality before committing.
[Get your free 100 requests here](https://datalikers.com/p/1by27bwg)
DataLikers is an Instagram & TikTok data API platform. Search users by demographics, analyze engagement, explore hashtags, and more — all through a simple API. From $0.0003 per request.
| Tool | Description |
|---|---|
get_user_by_username | Get user profile by Instagram username |
get_user_by_id | Get user profile by Instagram ID |
search_users | Search for users by query |
get_users_by_hashtag | Find users associated with a hashtag |
get_users_by_location | Find users by location |
get_top_users | Get top users by followers |
get_business_users | Get business accounts by category |
search_users_by_demographics | Search by gender, age, race, emotion, country, city, and more |
get_user_photo | Get user profile photo (returns actual image) |
get_user_engagement | Get average likes/comments per post |
| Tool | Description |
|---|---|
get_user_medias | Get user's posts and reels |
get_top_medias | Get top posts by likes or comments |
search_media_captions | Search posts by caption text |
get_media_by_code | Get post by Instagram shortcode |
| Tool | Description |
|---|---|
get_comments_by_user | Get comments left by a user |
search_comments | Search comments by text |
| Tool | Description |
|---|---|
get_hashtag_info | Get hashtag details and post count |
search_hashtags | Search hashtags by query |
get_top_hashtags | Get trending hashtags |
| Tool | Description |
|---|---|
get_location_info | Get location details |
search_locations | Search locations by name |
| Tool | Description |
|---|---|
get_user_stories | Get user's active stories |
get_story_by_id | Get a specific story |
get_user_highlights | Get user's highlights |
get_highlight_by_id | Get a specific highlight |
| Tool | Description |
|---|---|
search_tracks | Search music tracks used in reels |
get_track_by_id | Get track details |
get_top_tracks | Get trending tracks |
| Tool | Description |
|---|---|
get_stats | Get database statistics (total users, posts, comments, etc.) |
Add to your claude_desktop_config.json:
{
"mcpServers": { "datalikers": { "command": "npx", "args": ["-y", "datalikers-mcp"], "env": { "DATALIKERS_API_KEY": "your-api-key" } } } }
claude mcp add datalikers -- npx -y datalikers-mcp \
--env DATALIKERS_API_KEY=your-api-key
Add to Cursor MCP settings (.cursor/mcp.json):
{
"mcpServers": { "datalikers": { "command": "npx", "args": ["-y", "datalikers-mcp"], "env": { "DATALIKERS_API_KEY": "your-api-key" } } } }
Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": { "datalikers": { "command": "npx", "args": ["-y", "datalikers-mcp"], "env": { "DATALIKERS_API_KEY": "your-api-key" } } } }
| Environment Variable | Description | Required |
|---|---|---|
DATALIKERS_API_KEY | Your DataLikers API key | Yes |
DATALIKERS_URL | Custom server URL (for self-hosted instances) | No |
git clone https://github.com/subzeroid/datalikers-mcp.git
cd datalikers-mcp npm install npm run build
Run tests:
DATALIKERS_API_KEY=your-key npm test
Tests without DATALIKERS_API_KEY will skip integration tests and only run unit tests.
This is a thin proxy that connects to the DataLikers remote MCP server and exposes all its tools locally via stdio transport. No data processing happens locally — all requests are forwarded to the DataLikers API.
AI Assistant ←stdio→ datalikers-mcp ←https→ DataLikers API
MIT