MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Description from the maker (original English)
Send native LinkedIn voice notes from your AI assistant via the Svara API.
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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.
SVARA_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"svarapi": {
"command": "npx",
"args": [
"-y",
"svara-mcp"
],
"env": {
"SVARA_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add svarapi --env SVARA_API_KEY=your-value -- npx -y svara-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"svarapi": {
"command": "npx",
"args": [
"-y",
"svara-mcp"
],
"env": {
"SVARA_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": {
"svarapi": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"svara-mcp"
],
"env": {
"SVARA_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.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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 6, 2026
The publisher (svarapi.io) is not the repo owner (zenmode87); someone else may have listed it
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 0 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: SVARA_API_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 38 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
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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.
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Send native LinkedIn voice notes from Claude, Cursor, VS Code or any other MCP client.
Svara is a REST API for sending voice notes on LinkedIn. This server exposes it as MCP tools, so your AI assistant can upload a recording, validate a send, deliver a voice note to one of your LinkedIn contacts, and check whether it arrived.
queued, sent, failed, expired).Sends are dry runs by default: nothing is delivered unless dry_run is explicitly set to false.
npx).All clients run the same command: npx -y svara-mcp with SVARA_API_KEY in the environment.
Add to claude_desktop_config.json (Settings > Developer > Edit Config):
{
"mcpServers": { "svara": { "command": "npx", "args": ["-y", "svara-mcp"], "env": { "SVARA_API_KEY": "your_svara_api_key" } } } }
claude mcp add svara --env SVARA_API_KEY=your_svara_api_key -- npx -y svara-mcp
Add to ~/.cursor/mcp.json (or .cursor/mcp.json in a project):
{
"mcpServers": { "svara": { "command": "npx", "args": ["-y", "svara-mcp"], "env": { "SVARA_API_KEY": "your_svara_api_key" } } } }
Add to .vscode/mcp.json:
{
"inputs": [ { "type": "promptString", "id": "svara-api-key", "description": "Svara API key", "password": true } ], "servers": { "svara": { "type": "stdio", "command": "npx", "args": ["-y", "svara-mcp"], "env": { "SVARA_API_KEY": "${input:svara-api-key}" } } } }
| Tool | What it does |
|---|---|
upload_audio | { file_path } Uploads a local audio file and returns an audio_url. Sends nothing. |
send_linkedin_voice_note | { recipient, audio_url? , file_path?, dry_run = true } Sends a voice note. recipient is a LinkedIn profile URL (preferred) or name. Give exactly one of audio_url or file_path (a file is uploaded first). |
get_send_status | { id } Delivery status of a send. |
get_usage | {} Current plan usage and limits. |
Example prompt: *"Upload ~/Desktop/intro.m4a and do a dry run of sending it to https://www.linkedin.com/in/example. If it validates, send it for real."*
send_linkedin_voice_note sends a real LinkedIn message to a real person from your own LinkedIn account when dry_run is false. It cannot be unsent.
dry_run defaults to true, which validates the request without sending anything.Plans and limits: https://svarapi.io/pricing. When you hit a limit, the tool error includes an upgrade link.
Email hello@svarapi.io.
MIT