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MCP Deep Web Search

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MCP Deep Web Search

MCP Deep Web Search

Developed by

Vojtech Kaiser

Vojtech Kaiser

Maintained by Community

MCP Deep Search Server is a cloud-based tool for advanced research, combining real-time results from Google, Brave, Anthropic, OpenAI, Perplexity, and xAI. Now hosted in the cloud, it offers faster performance with no local installation needed.

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Pricing

Pay per usage

1

Total users

1

Monthly users

1

Last modified

3 days ago

You can access the MCP Deep Web Search 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 ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("vojtech.kaiser/actor-deep-web-search-mcp").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16 print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

MCP Deep Web Search API in Python

The Apify API client for Python is the official library that allows you to use MCP Deep Web Search API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include: