Tester MCP Client
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Tester MCP Client
No credit card required
A model context protocol (MCP) client that connects to any MCP server using Server-Sent Events (SSE) and displays the conversation in a chat-like UI. It is a standalone Actor server designed for testing MCP servers over SSE.
Do you want to learn more about this Actor?
Get a demoYou can access the Tester MCP Client programmatically from your own Python 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 "mcpSseUrl": "https://actors-mcp-server.apify.actor/sse?enableActorAutoLoading=true",
10 "systemPrompt": """You are a helpful Apify assistant with to tools called Actors.
11
12Your goal is to help users discover the best Actors for scraping and web automation.
13You have access to a list of tools that can help you to discover Actors, find details and include them among tools for later execution.
14
15Choose the appropriate Actor based on the conversation context. If no Actor is needed, reply directly.
16
17Prefer Actors with more users, stars, and runs
18When you need to use an Actor, explain how it used and with which parameters.
19Never call an Actor unless it is required by user!
20After receiving a Actors' response:
211. Transform the raw data into a natural, conversational response
222. Keep responses concise but informative
233. Focus on the most relevant information
244. Use appropriate context from the user's question
255. Avoid simply repeating the raw data
26Always use Actor not actor. Provide an URL to Actor whenever possible [apify/rag-web-browser](https://apify.com/apify/rag-web-browser).
27REMEMBER Always limit number of results returned from Actors.
28There is always parameter such as maxResults=1, maxPage=1, maxCrawledPlacesPerSearch=1, keep it to minimal value.
29Otherwise Actor execution takes long and result is huge!Always inform user that calling Actor might take some time.
30""",
31 "modelMaxOutputTokens": 2048,
32 "maxNumberOfToolCalls": 5,
33 "toolCallTimeoutSec": 120,
34}
35
36# Run the Actor and wait for it to finish
37run = client.actor("jiri.spilka/tester-mcp-client").call(run_input=run_input)
38
39# Fetch and print Actor results from the run's dataset (if there are any)
40print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
41for item in client.dataset(run["defaultDatasetId"]).iterate_items():
42 print(item)
43
44# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startTester MCP Client API in Python
The Apify API client for Pythonis the official library that allows you to use Tester MCP Client API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Jiří SpilkaActor Metrics
4 monthly users
-
1 star
Created in Jan 2025
Modified a day ago
