Pricing

from $100.00 / 1,000 web searches

MCP Research Agent

Structured web research for AI agents. Search, fetch and structure web data into the exact JSON schema you request. Clean, predictable output for Claude and MCP workflows, ready to drop into RAG pipelines.

Pricing

from $100.00 / 1,000 web searches

Rating

0.0

(0)

Developer

Turgay NANTA

Actor stats

Bookmarked

Total users

Monthly active users

5 days ago

Last modified

Categories

MCP servers

You can access the MCP Research Agent 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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    "query": "Top 5 open-source vector databases",
10    "schema": [
11        {
12            "name": "name",
13            "type": "string",
14            "description": "product/tool name",
15        },
16        {
17            "name": "license",
18            "type": "string",
19        },
20        {
21            "name": "star_count",
22            "type": "number",
23            "description": "GitHub star count",
24        },
25        {
26            "name": "features",
27            "type": "array",
28        },
29    ],
30}
31
32# Run the Actor and wait for it to finish
33run = client.actor("enezli/mcp-research-agent").call(run_input=run_input)
34
35# Fetch and print Actor results from the run's dataset (if there are any)
36print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
37for item in client.dataset(run["defaultDatasetId"]).iterate_items():
38    print(item)
39
40# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

MCP Web Research Agent: Structured Data for AI API in Python

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

Install the apify-client

$pip install apify-client

Other API clients include:

MCP Research Agent API in JavaScript

MCP Research Agent API through CLI

MCP Research Agent OpenAPI definition

MCP Research Agent API

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