Meerkats.ai MCP Server

Name: Meerkats.ai MCP Server
Author: Meerkats-Ai

@Meerkats-Ai

リポジトリ

Meerkats.ai MCP Server について

概要はまだありません

基本情報

カテゴリ

その他

ランタイム

node

トランスポート

stdio

公開者

Meerkats-Ai

設定

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": {
    "meerkats": {
      "command": "node",
      "args": [
        "path/to/meerkats.ai/build/index.js"
      ],
      "env": {
        "MEERKATS_API_KEY": "your_api_key_here",
        "SCRAPPER_API_URL": "https://api.meerkats.ai",
        "SCRAPPER_CALLBACK_API_URL": "https://api.meerkats.ai/callback"
      }
    }
  }
}

ツール

ツールは検出されませんでした

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。

概要

What is Meerkats.ai MCP Server?

Meerkats.ai MCP Server is a Model Context Protocol (MCP) server for the Meerkats.ai web scraping service. It provides tools for web scraping, RSS feed processing, and Google search, intended for users who want to integrate these capabilities into AI assistants or MCP-compatible applications.

How to use Meerkats.ai MCP Server?

Clone the repository, install dependencies (npm install), create a .env file with your Meerkats.ai API key, and build the project (npm run build). Then add the server to your MCP settings configuration file, specifying the command (node), the path to the built index.js, and environment variables for MEERKATS_API_KEY, SCRAPPER_API_URL, and SCRAPPER_CALLBACK_API_URL. Tools are invoked via use_mcp_tool with parameters such as url, wait, or query.

Key features of Meerkats.ai MCP Server

Scrape any URL and return content as markdown
Process RSS feeds and extract content
Search Google and return results

Use cases of Meerkats.ai MCP Server

Scraping web pages for content extraction
Monitoring and processing RSS feeds automatically
Performing Google searches from within an MCP environment

FAQ from Meerkats.ai MCP Server

What tools does Meerkats.ai MCP Server provide?

The available tools are scrape_url (scrape a URL with optional wait and query parameters), rss_feed (process an RSS feed with optional wait), and google_search (search Google with a query string).