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
基本情報
MCP Server - Chat with your Syften social listening data
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"social-listening": {
"command": "node",
"args": [
"/absolute/path/to/social-listening/build/index.js"
],
"env": {
"SYFTEN_API_KEY": ""
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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