Integrations

CrewAI

Give CrewAI agents tools that run Actors and read their results.

Give CrewAI agents Scrape.ly tools: search the Store, run Actors, wait for their runs, and read the results. Agents connect to the hosted MCP server, so there is no extra package to install beyond CrewAI's MCP support.

.bash

pip install crewai mcp

Create an API token in the dashboard under Settings → API & Integrations and set it as SCRAPELY_TOKEN. The agent can do anything the token can, including starting paid runs, so give it a scoped key: actors:run, runs:read, and datasets:read, with a Max charge per day. See API keys & permissions.

Give an agent Scrape.ly tools

Add the MCP server to the agent's mcps. CrewAI lists the server's tools when the agent starts and calls them as the agent decides.

.python

import os

from crewai import Agent, Crew, Task
from crewai.mcp import MCPServerHTTP

scrapely = MCPServerHTTP(
    url="https://mcp.scrape.ly",
    headers={"Authorization": f"Bearer {os.environ['SCRAPELY_TOKEN']}"},
)

researcher = Agent(
    role="Web researcher",
    goal="Collect current data from the web with Scrape.ly Actors",
    backstory="You find the right Actor in the Scrape.ly Store, run it, and report what its results show.",
    mcps=[scrapely],
)

task = Task(
    description=(
        "Find an Actor that scrapes Google Maps, run it for 'coffee shops in Berlin' "
        "with at most 20 results, and list the name, rating, and address of each place."
    ),
    expected_output="A table of coffee shops with name, rating, and address.",
    agent=researcher,
)

print(Crew(agents=[researcher], tasks=[task]).kickoff())

The agent uses the model you set up for CrewAI, as with any other tool.

What the agent can do

The agent gets the MCP server's default tools. The ones a research agent uses most:

Tool	What it does
`search-actors`	Find Actors in the Store by keywords.
`fetch-actor-details`	Read an Actor's input schema, README, and pricing before running it.
`call-actor`	Run an Actor with a JSON input, optionally with `maxItems` and `maxTotalChargeUsd`.
`get-actor-run`	Wait for a run and check its status.
`get-actor-output`	Read a run's results, paged and kept compact.

The full list, including saved inputs and automations, is on the MCP server page. To run one Actor you already know, name it in the task, for example Run username/actor-name, so the agent skips the search.

Costs: runs started by the agent are billed like any run. Tell the agent the limits in the task (such as "at most 20 results"), and keep a Max charge per day on the key.