CrewAI Integration
Integrate Thordata MCP Server with CrewAI to give AI agents access to real-time SERP data and structured search results.
Connect your CrewAI multi-agent team to the ThorData MCP server to access real-time web data using either a hosted endpoint or a self-hosted mode.
Hosted MCP
1
Get your API token
Go to SERP API-API Token to create an API Token;
Copy your API Token (format as:
sk_7qBRe***************************)
2
Configure your MCP server
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import os
server_params = {
"url": "https://mcp.thordata.net/API_TOKEN/mcp",
"transport": "http"
}
try:
with MCPServerAdapter(server_params) as mcp_tools:
print(f"Available tools: {[tool.name for tool in mcp_tools]}")
my_agent = Agent(
role="Web Scraping Specialist",
goal="Extract data from websites using ThorData tools",
backstory="I am an expert at web scraping and data extraction using MCP tools.",
tools=mcp_tools,
verbose=True,
llm="gpt-4o-mini",
)
task = Task(
description="Search for flights from New York to San Francisco and provide a summary of what you found. Use the search_engine tool to find flight information and return the results in a clear format.",
expected_output="A clear summary of available flights from New York to San Francisco, including key details like airlines, times, and prices if available.",
agent=my_agent
)
crew = Crew(
agents=[my_agent],
tasks=[task],
verbose=True
)
result = crew.kickoff()
print("\n=== RESULT ===")
print(result)
except Exception as e:
print(f"Error connecting to MCP server: {e}")3
Testing to see if it works.
Run the CrewAI script and execute the flight search task.
The agent will use the ThorData tool to search for flight information.
You should see results containing flight details.
4
Monitor usage
View your API usage in the ThorData SERP API usage logs.
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