Svara
Send native LinkedIn voice notes from your AI assistant via the Svara API.
Runs on your machine from its package; the steps are below.
What it does
- Reads
- Writes
- High impact
Not assessed yet.
What it costs
FreeOdel charges nothing per call. The publisher may charge for its own service.
Runs locally over stdio
This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).
Run
npx -y svara-mcp
MCP client config
{
"mcpServers": {
"svara": {
"command": "npx",
"args": [
"-y",
"svara-mcp"
]
}
}
}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.
