What prerequisites are needed?
Node.js v16 or later, a Syften account with API access, and either the Claude Desktop app or VSCode with the Claude extension.
@fred-em
基本信息
MCP Server - Chat with your Syften social listening data
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"social-listening": {
"command": "node",
"args": [
"/absolute/path/to/social-listening/build/index.js"
],
"env": {
"SYFTEN_API_KEY": ""
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A Model Context Protocol (MCP) server that provides social listening capabilities through Syften's API. It enables AI-powered analysis of social mentions, with support for real-time notifications via webhooks.
Install Node.js v16+, clone the repo, run npm install and npm run build. Configure your Syften API key as an environment variable, then add the server to your Claude Desktop or VSCode Claude extension configuration. Use the provided tools (e.g., configure_ai_filter, setup_webhook, analyze_trends) via natural language prompts in Claude.
Node.js v16 or later, a Syften account with API access, and either the Claude Desktop app or VSCode with the Claude extension.
Generate an API key from your Syften account (Settings > API Access) and set it as the `SYFTEN_API_KEY` environment variable in the MCP server configuration JSON.
It can backfill mentions for a specific month (`backfill_month`) and sync new mentions since the last update (`sync_latest`). Historical data is stored locally.
You can configure a webhook endpoint via `setup_webhook`. The server sends JSON notifications with mention URL, AI score, categories, and a timestamp. Requests include a `X-Webhook-Secret` header.
The server uses the MCP stdio transport (run as a subprocess). Authentication is handled via a Syften API key set in the environment; no other transports or auth methods are documented.

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