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Send native LinkedIn voice notes from your AI assistant via the Svara API.
About
Send native LinkedIn voice notes from your AI assistant via the Svara API.
Security Report
Valid MCP server (4 strong, 3 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
6 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: SVARA_API_KEY
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-svarapi-mcp": {
"env": {
"SVARA_API_KEY": "your-svara-api-key-here"
},
"args": [
"-y",
"svara-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Svara MCP server
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.
What it does
- Upload an audio file (MP3, M4A/AAC, OGG/Opus, WAV or WebM, up to 4 MB).
- Send it as a native LinkedIn voice note to someone you can already message on LinkedIn.
- Check delivery status (
queued,sent,failed,expired). - Check your plan usage.
Sends are dry runs by default: nothing is delivered unless dry_run is explicitly set to false.
Prerequisites
- A Svara account and an API key: create one at https://svarapi.io/dashboard.
- The Svara Chrome extension installed.
- You are signed in to LinkedIn in that Chrome browser.
- Node.js 20 or newer (for
npx).
Setup
All clients run the same command: npx -y svara-mcp with SVARA_API_KEY in the environment.
Claude Desktop
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 Code
claude mcp add svara --env SVARA_API_KEY=your_svara_api_key -- npx -y svara-mcp
Cursor
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" }
}
}
}
VS Code
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}" }
}
}
}
Tools
| 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."
Safety
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_rundefaults totrue, which validates the request without sending anything.- The tool is marked as destructive, so MCP clients that support tool annotations will ask you to confirm before it runs. Keep that confirmation on.
- Only send to people you can already message on LinkedIn, and only messages you would send yourself.
Pricing
Plans and limits: https://svarapi.io/pricing. When you hit a limit, the tool error includes an upgrade link.
Support
Email hello@svarapi.io.
License
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