Svara

io.svarapiPublished by svarapi.iov0.1.0Updated Oct 24, 2026

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

The publisher's own server: ZenMode

VerifiedSTDIODesktop onlyCommunication & Collaboration Media & Design

Server details

Identifier: io.svarapi/mcp
Transport: STDIO
Runtime: Desktop only
Trust: Verified
Published: Sep 29, 2026

Security note

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The registry verified that this server's namespace belongs to svarapi.io. It runs from a package rather than a hosted endpoint, so there is no endpoint to match against that domain.

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Overview

AI-generated overview

Svara lets an AI assistant upload an audio recording and send it as a native LinkedIn voice note to one of your contacts, then check delivery status.

What you can do: Upload a local audio file (MP3, M4A/AAC, OGG/Opus, WAV, WebM up to 4 MB) and get a hosted audio URL
Send a voice note to a LinkedIn profile URL or name, as a dry run by default or for real
Check the delivery status of a send (queued, sent, failed, expired)
Check your Svara plan usage and limits
When to use it: Useful when you want an assistant to prepare and send LinkedIn voice messages from your own account, for example a quick spoken intro to a contact, with a validation step before anything is delivered.
Requirements: Runs locally via npx, so Node.js 20 or newer is needed. Requires a Svara account and an API key supplied in the SVARA_API_KEY environment variable, plus the Svara Chrome extension installed and signed in to LinkedIn in that browser. Network access to the Svara API is required.

Before you install

With dry_run set to false, the send tool posts a real LinkedIn message from your own account to a real person and cannot be unsent; keep the client's confirmation prompt on. The API key is a secret passed in SVARA_API_KEY. Audio files you upload are sent to the Svara service, and usage is limited by your paid plan.

Installation

In SourceWeft

Open Svara in the dashboard and add it to a workspace.
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

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):

json

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

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

Claude Code

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" }    }  }}

{  "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}" }    }  }}

{  "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_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

SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

v0.1.0LatestSep 29, 2026

Score

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Reached in the last 30 days25 pts
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Auth declared10 pts
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Tools listed15 pts
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DescriptionRequired15 pts
Logo10 pts
Documentation15 pts
License10 pts

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