How do I find my PredictHQ API Key?

Log in to your [**PredictHQ control center**](https://control.predicthq.com/), navigate to the 'API' section, and generate a new token. Copy and paste it below.

What types of events are included?

PredictHQ includes 19 categories of events, from concerts and sports to public holidays and severe weather events.

Can the agent show attendance rankings?

Yes. The `get_event_details` tool retrieves the PredictHQ Rank, which indicates the expected impact and attendance metadata for an event.

PredictHQ Event Intelligence MCP Server for CrewAI 4 tools — connect in under 2 minutes

Name: PredictHQ Event Intelligence
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 4 Tools Framework

Connect your CrewAI agents to PredictHQ Event Intelligence through the Vinkius — pass the Edge URL in the `mcps` parameter and every PredictHQ Event Intelligence tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="PredictHQ Event Intelligence Specialist",
    goal="Help users interact with PredictHQ Event Intelligence effectively",
    backstory=(
        "You are an expert at leveraging PredictHQ Event Intelligence tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in PredictHQ Event Intelligence "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 4 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About PredictHQ Event Intelligence MCP Server

Empower your AI agent to orchestrate your entire event research and demand auditing workflow with PredictHQ, the authoritative source for intelligent event data. By connecting PredictHQ to your agent, you transform complex event searches into a natural conversation. Your agent can instantly search for global festivals, sports matches, and conferences, audit attendance rankings, and query specific location metadata without you ever touching an event portal. Whether you are conducting market demand research or managing regional operational constraints, your agent acts as a real-time event consultant, ensuring your data is always verified and precise.

When paired with CrewAI, PredictHQ Event Intelligence becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call PredictHQ Event Intelligence tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

What you can do

Event Auditing — Search for thousands of global events by keyword or category and retrieve detailed metadata, including start times and rankings.
Ranking Oversight — Audit the PredictHQ impact rank for specific events to understand the current industry lead in attendance scale instantly.
Category Discovery — Browse available event categories like 'concerts', 'sports', or 'festivals' to identify relevant thematic markers for your audience.
Geographic Intelligence — Retrieve high-resolution location metadata for specific event IDs to assist in deep-dive logistics classification.
Operational Monitoring — Check API status to ensure your event research workflow is always operational.

The PredictHQ Event Intelligence MCP Server exposes 4 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect PredictHQ Event Intelligence to CrewAI via MCP

Follow these steps to integrate the PredictHQ Event Intelligence MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 4 tools from PredictHQ Event Intelligence

Why Use CrewAI with the PredictHQ Event Intelligence MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with PredictHQ Event Intelligence through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

PredictHQ Event Intelligence + CrewAI Use Cases

Practical scenarios where CrewAI combined with the PredictHQ Event Intelligence MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries PredictHQ Event Intelligence for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries PredictHQ Event Intelligence, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain PredictHQ Event Intelligence tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries PredictHQ Event Intelligence against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

PredictHQ Event Intelligence MCP Tools for CrewAI (4)

These 4 tools become available when you connect PredictHQ Event Intelligence to CrewAI via MCP:

check_api_status

Check if the PredictHQ service is operational

get_event_details

Get full metadata and ranking for a specific event ID

list_event_categories

List common event categories supported by PredictHQ

search_predict_events

Search for global events (concerts, sports, festivals) using PredictHQ

Example Prompts for PredictHQ Event Intelligence in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with PredictHQ Event Intelligence immediately.

"Search for concerts in 'London' for next month using PredictHQ."

"What is the impact ranking for event ID '12345'?"

"List event categories supported by PredictHQ."

Troubleshooting PredictHQ Event Intelligence MCP Server with CrewAI

Common issues when connecting PredictHQ Event Intelligence to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

PredictHQ Event Intelligence + CrewAI FAQ

Common questions about integrating PredictHQ Event Intelligence MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.