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Svara MCP server

by svarapi.io·io.svarapi/mcp·v0.1.0

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

B78/100grade B
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Safety scan
B78/100

full report

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Growing

0 stars137 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Svara tools (4, 3 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • get_send_statuswrite action

    Get the delivery status (queued, sent, failed or expired) of a voice note sent with send_linkedin_voice_note.

  • get_usage

    Get the current Svara plan usage and limits for this API key.

  • send_linkedin_voice_notewrite action
  • upload_audiowrite action

    Upload a local audio file (MP3, M4A/AAC, OGG/Opus, WAV or WebM, max 4 MB) to Svara. Returns an audio_url to pass to send_linkedin_voice_note. Uploading does not send anything.

Public scan report

scanner v0.1.10 · 2026-10-01 · same rubric, same numbers if you re-run it

no findings
  • Code scan4 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 5 days ago15/15
  • Maintainer identitynamespace and repository owner differ; website matches verified namespace5/10
Overall 78/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

Install Svara in Claude Code, Cursor or VS Code

Runs npx -y svara-mcp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add mcp -- npx -y svara-mcp
Add to Cursor

What the publisher says

From the Svara repository's README, as published. We do not edit it. Read it on GitHub

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 .
  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 SVARAAPIKEY in the environment.

Claude Desktop

Add to claudedesktopconfig.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

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

sendlinkedinvoicenote sends a real LinkedIn message to a real person from your own LinkedIn account when dryrun 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: . When you hit a limit, the tool error includes an upgrade link.

Support

Email hello@svarapi.io.

License

MIT

Nothing above is checked by us. What we check is on the safety report.

Svara: common questions

Is Svara MCP server safe?
Mostly: it is graded B (78/100). Read the Svara safety report
How do I install Svara?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Svara need an API key?
Yes. The registry entry asks for SVARA_API_KEY.
Is Svara maintained?
The last commit was 17 days ago (2026-09-26). The latest release is v0.1.0.
What can I use instead of Svara?
Servers from other publishers that do the same job: HeyLead — AI agent for LinkedIn outreach MCP server, NotFair MCP server and Customermates MCP server. Compare all Svara alternatives.

Alternatives to Svara

Same job from other publishers: the closest match first, then the best rated.

All Svara alternatives →
  • HeyLead — AI agent for LinkedIn outreach
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    A
  • NotFair
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  • Customermates
    Native MCP access to CRM contacts, organizations, deals and tasks with user permissions.
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  • Postbase
    Schedule social posts, threads and video to X, LinkedIn, Bluesky, Mastodon and YouTube from your AI.
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  • gtm-api: LinkedIn MCP Server
    Managed LinkedIn MCP server for AI agents: search, connect, message and enrich on accounts you own.
    A

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