Apify MCP Server Template

MCP server template

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A template for creating a Model Context Protocol server using FastMCP on Apify platform.

This template includes a simple example MCP server with:

• An add tool that adds two numbers together with structured output
• A dummy calculator-info resource endpoint
• Pay Per Event monetization support

How to use

1. Modify the server: Edit src/main.py to add your own tools and resources
2. Add new tools: Use the @server.tool() decorator to register new tools
3. Add new resources: Use the @server.resource() decorator to register new resources
4. Update billing: Configure billing events in .actor/pay_per_event.json and charge for tool calls

The server runs on port 3000 (or APIFY_CONTAINER_PORT if set) and exposes the MCP protocol at the /mcp endpoint.

Running locally

pip install -r requirements.txt
APIFY_META_ORIGIN=STANDBY python -m src

The server will start and listen for MCP requests at http://localhost:3000/mcp

Deploying to Apify

Push your Actor to the Apify platform and configure standby mode.

Then connect to the Actor endpoint with your MCP client: https://me--my-mcp-server.apify.actor/mcp using the Streamable HTTP transport.

Important: When connecting to your deployed MCP server, pass your Apify API token in the Authorization header as a Bearer token:

Authorization: Bearer <YOUR_APIFY_API_TOKEN>

Pay per event

This template uses the Pay Per Event (PPE) monetization model, which provides flexible pricing based on defined events.

To charge users, define events in JSON format and save them on the Apify platform. Here is an example schema with the tool-call event:

{
    "tool-call": {
        "eventTitle": "Price for completing a tool call",
        "eventDescription": "Flat fee for completing a tool call.",
        "eventPriceUsd": 0.05
    }
}

In the Actor, trigger the event with:

await Actor.charge(event_name='tool-call')

This approach allows you to programmatically charge users directly from your Actor, covering the costs of execution and related services.

To set up the PPE model for this Actor:

• Configure Pay Per Event: establish the Pay Per Event pricing schema in the Actor's Monetization settings. First, set the Pricing model to Pay per event and add the schema. An example schema can be found in pay_per_event.json.

Resources

• What is Anthropic's Model Context Protocol?
• How to use MCP with Apify Actors
• FastMCP documentation
• Python SDK examples
• Python tutorials in Academy
• Apify SDK documentation
• Webinar: Building and monetizing MCP servers on Apify
• Apify MCP server documentation
• Apify MCP server configuration

Getting started

For complete information see this article. To run the Actor use the following command:

apify run

Deploy to Apify

Connect Git repository to Apify

If you've created a Git repository for the project, you can easily connect to Apify:

1. Go to Actor creation page
2. Click on Link Git Repository button

Push project on your local machine to Apify

You can also deploy the project on your local machine to Apify without the need for the Git repository.

1. Log in to Apify. You will need to provide your Apify API Token to complete this action.

   apify login
   

2. Deploy your Actor. This command will deploy and build the Actor on the Apify Platform. You can find your newly created Actor under Actors -> My Actors.

   apify push
   

Documentation reference

To learn more about Apify and Actors, take a look at the following resources:

• Apify SDK for JavaScript documentation
• Apify SDK for Python documentation
• Apify Platform documentation
• Join our developer community on Discord