Techionik Website RAG MCP
Pricing
$15.00 / 1,000 rag chunks
Prompt-first MCP-ready Apify tool for AI agents to crawl public websites and return clean RAG chunks with URLs, titles, markdown, and token estimates.
You can access the Techionik Website RAG MCP 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 Integrations settings in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "prompt": "Create a RAG dataset from https://example.com/docs. Crawl up to 8 same-domain pages, chunk around 1600 characters, include markdown, titles, source URLs, and token estimates.",10 "startUrls": ["https://example.com"],11}12
13# Run the Actor and wait for it to finish14run = client.actor("techionik9993/techionik-website-rag-mcp").call(run_input=run_input)15
16# Fetch and print Actor results from the run's dataset (if there are any)17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])18for item in client.dataset(run["defaultDatasetId"]).iterate_items():19 print(item)20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Techionik Website RAG MCP API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: