You can access the Smithery MCP Servers Scraper - MCP Directory Data programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "searchUrls": [
12        "https://smithery.ai/"
13    ],
14    "maxResults": 10
15};
16
17// Run the Actor and wait for it to finish
18const run = await client.actor("benthepythondev/smithery-mcp-servers-scraper").call(input);
19
20// Fetch and print Actor results from the run's dataset (if any)
21console.log('Results from dataset');
22console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
23const { items } = await client.dataset(run.defaultDatasetId).listItems();
24items.forEach((item) => {
25    console.dir(item);
26});
27
28// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Smithery MCP Servers Scraper - MCP Directory Data API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Smithery MCP Servers Scraper - MCP Directory Data API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

Smithery MCP Servers Scraper - MCP Directory Data API in Python

Smithery MCP Servers Scraper - MCP Directory Data API through CLI

Smithery MCP Servers Scraper - MCP Directory Data OpenAPI definition

Smithery MCP Servers Scraper - MCP Directory Data API

Smithery MCP Scraper

maximedupre/smithery-mcp

Collect public MCP servers from the Smithery registry by catalog, keyword, or server ID. Export server metadata, links, trust signals, deployment details, and optional capability definitions.

Maxime Dupré

MCP.so Server Directory Scraper

jungle_synthesizer/mcp-so-server-directory-scraper

Scrape the complete MCP.so server directory — the 3rd canonical MCP registry alongside Smithery and Glama. Extracts server name, author, category, tags, capabilities, install command, GitHub repo URL, README, and more for every listed MCP server.

BowTiedRaccoon

MCP.so Servers Scraper - MCP Marketplace Data

benthepythondev/mcp-so-servers-scraper

Scrape MCP.so marketplace pages and extract MCP server names, URLs, descriptions and agent-integration metadata.

Ben

Glama MCP Servers Scraper - MCP Registry Data

benthepythondev/glama-mcp-servers-scraper

Scrape Glama MCP server registry pages and extract open-source MCP server names, URLs, descriptions and metadata.

Ben

MCP Server Directory Scraper

bornoo/mcp-server-directory-scraper

Discover and scrape MCP (Model Context Protocol) servers from public directories. Extract server names, descriptions, categories, endpoints, GitHub links, documentation, tags, providers, and metadata. Export clean JSON or CSV for AI agent discovery, research, and automation workflows.

Biddut Hossain

Mcp Server Generator

fiery_dream/mcp-server-generator

Cody Churchwell

MCP Server Directory Scraper: MCP Discovery Export

lovely_sequoia/mcp-directory-scraper

Aggregate public MCP server, ChatGPT app, and Claude connector listings from Glama.ai, PulseMCP, mcp.so, and MCP App Store into one deduplicated dataset.

Kris Jensen

Excel Mcp Server

muhammadaashiq/excel-mcp-server

Excel Mcp server with 200+ tools

Muhammad Aashiq

Email Actor

gytelio1/email-actor

For MCP server

Gytis Ščipokas

MCP Server Catalog + Quality Score

ianymu/mcp-server-catalog

mcp-server-catalog is an Apify Actor that scrapes the top awesome-mcp-server GitHub lists, scores every MCP (Model Context Protocol) server on six quality dimensions (stars, recency, license, description, docs, activity), and returns a ranked dataset of production-ready MCP servers.