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MCP Servers implement the Model Context Protocol (MCP) — an open standard that lets AI models like Claude and GPT connect to external tools and data sources through a unified interface. These APIs are designed to be called directly by LLMs without custom integration code.
What is MCP? The Model Context Protocol is an open standard developed by Anthropic that defines how AI models communicate with external tools, APIs, and data sources. Instead of each tool needing custom integration code, MCP provides a single protocol that any compatible model can use. Think of it as a USB standard for AI tool calling.
This category contains 347 APIs, updated daily from Apify’s marketplace.

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Top APIs in this category

APIs are ranked by Bayesian quality score, which balances rating with review volume to surface consistently high-quality tools.
APIRatingDescription
Youtube Transcript⭐ 5.00 (20)Extract complete transcripts with precise timestamps and comprehensive video metadata from any YouTube video.
YouTube Playlist Extractor⭐ 4.92 (14)Extract complete playlist information with all video details from any YouTube playlist.
YouTube Comments Scraper⭐ 5.00 (12)Extract YouTube comments with author info, likes, timestamps, and nested replies.
Reddit MCP Scraper⭐ 5.00 (11)Unified Reddit scraper supporting subreddit posts, post comments, and user profiles with full metadata.
Website Scraper⭐ 3.91 (14)Extract information from websites using AI including contact details, custom data fields, summaries, and social links.
Tester MCP Client⭐ 4.99 (8)An MCP client that connects to any MCP server using Streamable HTTP and displays the conversation in a chat-like UI.
Markdownify MCP Server⭐ 5.00 (7)Convert any webpage to clean, formatted Markdown perfect for AI consumption. Ideal for building knowledge bases.
Google Maps MCP⭐ 5.00 (7)Unified MCP server for Google Maps. Search for businesses and extract ratings, reviews, contact info, and more.
Fast Website Content Crawler⭐ 4.90 (7)High-performance web scraper that rapidly extracts and analyzes content from multiple websites simultaneously.
Email Verifier⭐ 4.62 (7)Email verification service at $1 per 1K emails. Only charges for valid and invalid emails, not catch-all addresses.
Domain Availability & WHOIS⭐ 5.00 (4)Domain availability, expiry dates, WHOIS/RDAP data, DNS records, IP geolocation, and ASN details for 70+ TLDs.
Workflow Orchestrator⭐ 5.00 (4)Chain 11,000+ Apify Actors into automated workflows with parallel execution and auto-retry.

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Use with your agent

The following example uses the Markdownify MCP Server to convert a webpage to clean Markdown for LLM consumption: 
import requests

response = requests.post(
    "https://api.apify.com/v2/acts/crawlerbros~markdownify-mcp-server/run-sync-get-dataset-items",
    headers={"Authorization": "Bearer YOUR_APIFY_TOKEN"},
    json={
        "url": "https://docs.example.com/getting-started",
        "includeLinks": True
    }
)
result = response.json()

if result:
    markdown_content = result[0].get("markdown", "")
    print(markdown_content[:1000])

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What you can build

  • Direct LLM tool integration — Expose MCP-compatible APIs to Claude or GPT so models can call real-world data sources during a conversation.
  • Claude and GPT plugin workflows — Build tool-augmented chat applications where the model autonomously decides when to fetch external data.
  • Standardized agent tool calling — Replace bespoke function-calling integrations with MCP-compliant tools that work across any compatible model.
  • Knowledge base construction — Use the Markdownify server to convert web content to AI-ready Markdown at scale for RAG applications.

Agents APIs

AI agent frameworks and orchestration tools.

AI APIs

LLM integrations and RAG infrastructure.

Integrations APIs

Workflow connectors and automation bridges.

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