PredictHQ Event Intelligence MCP Server for LlamaIndex 4 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add PredictHQ Event Intelligence as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to PredictHQ Event Intelligence. "
"You have 4 tools available."
),
)
response = await agent.run(
"What tools are available in PredictHQ Event Intelligence?"
)
print(response)
asyncio.run(main())
* 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.
LlamaIndex agents combine PredictHQ Event Intelligence tool responses with indexed documents for comprehensive, grounded answers. Connect 4 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the PredictHQ Event Intelligence MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 4 tools from PredictHQ Event Intelligence
Why Use LlamaIndex with the PredictHQ Event Intelligence MCP Server
LlamaIndex provides unique advantages when paired with PredictHQ Event Intelligence through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine PredictHQ Event Intelligence tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain PredictHQ Event Intelligence tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query PredictHQ Event Intelligence, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what PredictHQ Event Intelligence tools were called, what data was returned, and how it influenced the final answer
PredictHQ Event Intelligence + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the PredictHQ Event Intelligence MCP Server delivers measurable value.
Hybrid search: combine PredictHQ Event Intelligence real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query PredictHQ Event Intelligence to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying PredictHQ Event Intelligence for fresh data
Analytical workflows: chain PredictHQ Event Intelligence queries with LlamaIndex's data connectors to build multi-source analytical reports
PredictHQ Event Intelligence MCP Tools for LlamaIndex (4)
These 4 tools become available when you connect PredictHQ Event Intelligence to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting PredictHQ Event Intelligence to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpPredictHQ Event Intelligence + LlamaIndex FAQ
Common questions about integrating PredictHQ Event Intelligence MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect PredictHQ Event Intelligence with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect PredictHQ Event Intelligence to LlamaIndex
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.