MCP Stress Tester
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MCP Stress Tester
A simple MCP Stress Tester client Actor for stress-testing your Model Context Protocol server. 💻⚡
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Pricing
Pay per usage
0
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1
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1
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Last modified
17 days ago
You can access the MCP Stress Tester 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
10# Run the Actor and wait for it to finish11run = client.actor("jakub.kopecky/mcp-stress-tester").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-startMCP Stress Tester API in Python
The Apify API client for Python is the official library that allows you to use MCP Stress Tester API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
