Svara

io.svarapiv0.1.0Updated Sep 29, 2026

Send native LinkedIn voice notes from your AI assistant via the Svara API.

Installation

In SourceWeft

  1. Open Svara in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

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

  1. A Svara account and an API key: create one at https://svarapi.io/dashboard.
  2. The Svara Chrome extension installed.
  3. You are signed in to LinkedIn in that Chrome browser.
  4. 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):

json
{  "mcpServers": {    "svara": {      "command": "npx",      "args": ["-y", "svara-mcp"],      "env": { "SVARA_API_KEY": "your_svara_api_key" }    }  }}

Claude Code

bash
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):

json
{  "mcpServers": {    "svara": {      "command": "npx",      "args": ["-y", "svara-mcp"],      "env": { "SVARA_API_KEY": "your_svara_api_key" }    }  }}

VS Code

Add to .vscode/mcp.json:

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

ToolWhat 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_run defaults to true, 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 [email protected].

License

MIT

Source: README.md at commit 17818d9

Tools

0
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Version history

1
  1. v0.1.0LatestSep 29, 2026