Awesome MCP API
Curated and continuously growing collection of MCP APIs for AI agents, LLM automation, scraping, DevOps, databases, browser control, and real world AI workflows.
What is Awesome MCP API?
Awesome MCP API is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to curated and continuously growing collection of mcp apis for ai agents, llm automation, scraping, devops, databases, browser control, and real world ai workflows.
Curated and continuously growing collection of MCP APIs for AI agents, LLM automation, scraping, DevOps, databases, browser control, and real world AI workflows.
This server falls under the APIs and Developer Tools categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Curated and continuously growing collection of MCP APIs for
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx awesome-mcp-apiConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Awesome MCP API
Awesome MCP API is a curated and continuously growing directory of 150+ Model Context Protocol APIs hosted on Apify, covering web scraping, AI search, productivity integrations, DevOps tools, database connectors, and browser automation—providing a single reference point for AI agents needing real-world data and automation capabilities.
Prerequisites
- An Apify account (free tier available at apify.com) for accessing hosted MCP APIs
- Claude Desktop or another MCP-compatible AI client
- Service-specific API keys for integrations you want to use (e.g., Google API, DeepL, Perplexity)
- Node.js 18+ if running any local MCP adapters
- Familiarity with MCP client configuration
Browse the Awesome MCP API directory
Visit the GitHub repository to explore all available MCP APIs organized by category. Each entry links to the corresponding Apify actor.
# GitHub repository
https://github.com/kawsarlog/awesome-mcp-apiChoose and open an MCP API on Apify
Select an API from the directory (e.g., a web scraper or Google Search integration) and open its Apify actor page. Click 'Try for free' to test it or navigate to the API tab for the MCP endpoint URL.
Get your Apify API token
Log into Apify, go to Settings > Integrations, and copy your API token. This token authenticates your MCP client to the Apify-hosted servers.
# Apify API token format
APY_TOKEN=apify_api_XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXConfigure Claude Desktop with an Apify MCP server
Add an Apify-hosted MCP server to your Claude Desktop config. The example below uses the Apify web scraper MCP. Replace the actor URL with whichever API from the directory you want.
{
"mcpServers": {
"apify-web-scraper": {
"command": "npx",
"args": ["-y", "@apify/actors-mcp-server"],
"env": {
"APIFY_TOKEN": "apify_api_XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX",
"ACTORS": "apify/web-scraper"
}
}
}
}Add service-specific credentials as needed
Many APIs in the collection require their own credentials in addition to the Apify token. Add these to the env block of your MCP config for each integration.
{
"env": {
"APIFY_TOKEN": "apify_api_XXXX",
"GOOGLE_API_KEY": "AIzaSy...",
"DEEPL_API_KEY": "your-deepl-key",
"PERPLEXITY_API_KEY": "pplx-..."
}
}Awesome MCP API Examples
Client configuration
Claude Desktop config using the Apify actors MCP server adapter to connect to any actor from the Awesome MCP API collection.
{
"mcpServers": {
"awesome-mcp-api": {
"command": "npx",
"args": ["-y", "@apify/actors-mcp-server"],
"env": {
"APIFY_TOKEN": "apify_api_XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX",
"ACTORS": "apify/google-search-scraper,apify/instagram-scraper"
}
}
}
}Prompts to try
Example prompts demonstrating different API categories from the collection.
- "Search Google for 'MCP server best practices' and summarize the top 5 results"
- "Scrape the product listings from this Amazon search URL and list prices"
- "Translate this paragraph to French using DeepL"
- "Search LinkedIn for software engineers in Berlin with 5+ years experience"
- "Extract all text and links from this PDF document URL"Troubleshooting Awesome MCP API
Apify actor returns 401 or authentication failed error
Verify your APIFY_TOKEN is correct and has not been regenerated. Go to Apify > Settings > Integrations to find your current token. Ensure the token has sufficient permissions for the actors you are trying to use.
A specific API integration fails with missing credentials error
Each API in the collection may require its own third-party credentials (Google API key, DeepL key, etc.). Check the individual Apify actor's README on its actor page for the exact environment variable names and where to obtain the credentials.
npx @apify/actors-mcp-server command not found or times out
Ensure Node.js 18+ is installed and npx is available. Run `npx --version` to check. If on a slow network, the first npx run downloads the package and can take 30-60 seconds. Subsequent runs use the cache and are faster.
Frequently Asked Questions about Awesome MCP API
What is Awesome MCP API?
Awesome MCP API is a Model Context Protocol (MCP) server that curated and continuously growing collection of mcp apis for ai agents, llm automation, scraping, devops, databases, browser control, and real world ai workflows. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Awesome MCP API?
Follow the installation instructions on the Awesome MCP API GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Awesome MCP API?
Awesome MCP API works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Awesome MCP API free to use?
Yes, Awesome MCP API is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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