Meerkats.ai MCP Server
About
# Meerkats.ai MCP Server This 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. ## Features - **Web Scraping**: Scrape any URL and get the content as markdown - **RSS Feed Processing**: Process RSS feeds and…
Explore
- Web Scraping: Scrape any URL and get the content as markdown
- RSS Feed Processing: Process RSS feeds and get the content
- Google Search: Search Google and get the results
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Meerkats.ai MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
1. Clone this repository
2. Install dependencies:
npm install
3. Create a
.env file based on .env.example and add your Meerkats.ai API key4. Build the project:
npm run build
// Example of using the scrape_url tool
const result = await use_mcp_tool({
server_name: "meerkats",
tool_name: "scrape_url",
arguments: {
url: "https://example.com",
wait: 2
}
});
// Example of using the google_search tool
const searchResult = await use_mcp_tool({
server_name: "meerkats",
tool_name: "google_search",
arguments: {
query: "meerkats.ai web scraping"
}
});
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"meerkats.ai mcp server": {
"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"
}
}
}
}
}
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"
}
}
}
This 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.
Features
- Web Scraping: Scrape any URL and get the content as markdown
- RSS Feed Processing: Process RSS feeds and get the content
- Google Search: Search Google and get the results
Installation
1. Clone this repository
2. Install dependencies:
npm install
3. Create a
.env file based on .env.example and add your Meerkats.ai API key4. Build the project:
npm run build
Configuration
Add the MCP server to your MCP settings configuration file:
{
"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"
}
}
}
}
Available Tools
scrape_url
Scrape a URL and return the content as markdown.
Parameters:
- url (required): URL to scrape
- wait (optional): Time to wait in seconds before scraping
- query (optional): Query to search for on the page
rss_feed
Process an RSS feed and return the content.
Parameters:
- url (required): URL of the RSS feed
- wait (optional): Time to wait in seconds before processing
google_search
Search Google and return the results.
Parameters:
- query (required): Query to search for on Google
Example Usage
// Example of using the scrape_url tool
const result = await use_mcp_tool({
server_name: "meerkats",
tool_name: "scrape_url",
arguments: {
url: "https://example.com",
wait: 2
}
});
// Example of using the google_search tool
const searchResult = await use_mcp_tool({
server_name: "meerkats",
tool_name: "google_search",
arguments: {
query: "meerkats.ai web scraping"
}
});
License
MIT
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