Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Streaming Subscription Prices by Country MCP Server Compare Spotify and Netflix prices in the US, UK, and Japan."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
An MCP server for the Mamba Labs Streaming Subscription Prices by Country actor on Apify. Streaming plan prices by country, as rows.
Related MCP server: ComparEdge Pricing API MCP Server
Takes 2 letter country codes and returns Spotify and Netflix monthly plan prices in local currency, one row per plan, with the price text exactly as shown.
All of the work runs on Apify. This package is a thin client that starts the actor run, waits for it, and hands back the dataset rows.
You need Node.js 18 or newer and an Apify account with an API token.
Add this to your Claude Desktop config (claude_desktop_config.json), Cursor, or any MCP client:
{
"mcpServers": {
"mamba-streaming-subscription-prices-by-country": {
"command": "npx",
"args": [
"-y",
"@mambalabsdev/mcp-streaming-subscription-prices-by-country"
],
"env": {
"APIFY_TOKEN": "your-apify-token"
}
}
}
}Restart the client. The get_streaming_prices_by_country tool appears.
Node.js 18 or newer.
An Apify API token from console.apify.com/account/integrations, set as APIFY_TOKEN. The server lists its tool without a token; a call needs one.
"What does Spotify Premium cost in India, Brazil, and Japan?"
"Compare Netflix plan prices in the US and Germany."
get_streaming_prices_by_country. One tool. Example arguments:
{
"countries": [
"US",
"DE"
],
"services": [
"spotify"
]
}Every buyer facing input of the actor. Omitted inputs take the actor's own defaults.
Input | Type | Required | Description |
| array | no | 2 letter country codes, such as US, DE, IN, BR, or JP. UK and GB both mean the United Kingdom. Up to 250. Each country is read once per service. |
| array | no | spotify, netflix, or both. Default both. Spotify rows cost less, because Netflix must be read from an address in each country. |
| number | no | Optional. The run stops before a charge that would pass this amount. Summary rows are always returned. |
Pay per event on Apify, billed to your Apify account. Prices in USD.
Event | Free plan | Bronze | Silver | Gold |
| $0.003 | $0.00285 | $0.0027 | $0.00255 |
| $0.005 | $0.00475 | $0.0045 | $0.00425 |
| $0.003 | $0.00285 | $0.0027 | $0.00255 |
| $0.009 | $0.009 | $0.009 | $0.009 |
Country summaries and refused input are free rows. Each country asked for is charged once. Mamba Labs pays the platform costs of the run, Apify proxy traffic included.
apify.com/mambalabs/streaming-subscription-prices-by-country
MIT. See LICENSE.
Get monthly Spotify and Netflix plan prices in local currency for a list of 2 letter country codes. One row per plan per country, with the price text as shown and a numeric price.
Inputs: services, countries, max_charge_usd.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
Scored across 1 tool
There is only one tool, so there is no possibility of misselection between tools. Its purpose (fetch Spotify/Netflix plan prices for a list of country codes) is stated explicitly and unambiguously.
The single tool follows a clear verb_noun pattern (get_streaming_prices_by_country) in snake_case. With one name there is no inconsistency to detect, and the name is readable and predictive of the action.
A single read-only lookup tool is defensible for a narrow data-retrieval server, but it is thin — one call and the agent has exhausted the surface. There is no companion operation (e.g. supported services, single-country lookup) to make this a well-rounded set.
It covers the core retrieval of plan prices per country, which is the stated purpose, but the server name implies streaming services broadly while the tool is hardcoded to Spotify and Netflix only. There is also no way to discover which services, plans, or countries are supported, which could cause dead ends.
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