Svara

io.svarapi由 svarapi.io 发布v0.1.0更新于 Oct 24, 2026

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

发布方自己的服务：ZenMode

已验证STDIO仅桌面沟通与协作媒体与设计

服务详情

标识符: io.svarapi/mcp
传输: STDIO
运行时: Desktop only
信任: Verified
发布于: Sep 29, 2026

安全提示

MCP 服务会接收对话中的工具调用请求，并可能执行外部操作。启用前请先了解该服务能做什么，并只授予它所需的权限。

注册中心已验证此服务的命名空间属于 svarapi.io。它以软件包形式运行，而不是托管端点，因此没有可与该域名比对的端点。

SourceWeft 的检查只涵盖条目是否完整、端点是否响应；不审查服务器的代码，也不审查其工具的行为。

在 README 中添加徽章

向读者展示该 MCP 服务已收录于 SourceWeft，徽章链接到本页。

[![Listed on SourceWeft](https://sourceweft.com/badge/mcp/io.svarapi%2Fmcp.svg)](https://sourceweft.com/mcp/io.svarapi%2Fmcp?utm_source=readme&utm_medium=badge)

概览

AI 生成的概览

让助手通过 Svara API 上传音频文件并以 LinkedIn 原生语音消息发送，支持试运行校验和投递状态查询。

可以做什么: 把 Svara REST API 封装为 MCP 工具：upload_audio 上传本地音频文件（MP3、M4A/AAC、OGG/Opus、WAV 或 WebM，最大 4 MB）并返回 audio_url；send_linkedin_voice_note 将该音频作为 LinkedIn 原生语音消息发送给指定收件人（LinkedIn 个人主页链接或姓名）；get_send_status 返回 queued、sent、failed 或 expired 状态；get_usage 查看套餐用量与限额。发送默认是试运行，只有把 dry_run 显式设为 false 才会真正发出。
适用场景: 适合让助手向你在 LinkedIn 上已可发消息的联系人发送语音消息，或在正式发送前先做一次校验。适用于从 Claude、Cursor、VS Code 等 MCP 客户端发起的触达与跟进流程。
运行要求: 需要 Node.js 20 或更高版本以运行 npx svara-mcp；需要 Svara 账号及 API 密钥，通过环境变量 SVARA_API_KEY 提供；需要安装 Svara Chrome 扩展，并在该 Chrome 浏览器中登录 LinkedIn。仅支持桌面端，且需要访问 Svara API 的网络连接。

安装前请注意

当 dry_run 设为 false 时，send_linkedin_voice_note 会以你自己的 LinkedIn 账号向真实联系人发送真实消息，且无法撤回；该工具被标记为破坏性操作，建议保持客户端确认提示开启。SVARA_API_KEY 属于机密，不应外泄。发送受套餐限额约束，可能涉及付费方案。

安装

在 SourceWeft 中

打开控制台中的 Svara，将其添加到工作区。
为需要使用其工具的对话启用该服务。

Desktop only，通过 STDIO。 STDIO 服务会启动本地进程，因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照仓库中的启动说明。

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.