MCP

Real-world context for the AI tools your team already uses

AI is now how your team asks questions about the world. The problem is the world it knows is incomplete. PredictHQ's MCP connector gives your AI assistant access to verified events, demand signals, Beam analyses, and forecasts through a single prompt.

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Watch how to connect PredictHQ to your AI assistant and start getting verified, real-world context, from events and demand signals to Beam analyses and forecasts, directly in your existing workflow.

  • Business Owners

    Business Owners

    Ask which events are hitting your locations this week and get answers you can actually act on. Accurate attendance, local economic impact, and timing, surfaced directly inside the AI tools you already use.
    Connect the MCP
  • Business Analysts

    Business Analysts

    Run an event-driven forecast for your locations directly from a prompt. Ask about demand signals, upcoming events, and expected impact, and get structured, explainable intelligence rather than a plausible guess.
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  • Revenue & Operations Managers

    Revenue & Operations Managers

    Ask the questions that matter before demand moves, not after. Upcoming events, predicted attendance, local impact, and a forecast for your stores, all from a single prompt inside your AI assistant.
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Real-world context, native to the AI tools you already use

Connect once and start asking. Discover which events are impacting your locations, run Beam analyses, and build event-driven forecasts, all through a prompt in your AI assistant of choice.

Additional functionality for Claude and ChatGPT coming soon.

The missing context

Confident answers aren't the same as correct ones

AI gives confident answers. Confidence isn't the same as accuracy. When we asked an AI assistant what was happening near one of our locations, the answer looked right. It wasn't. Wrong location, no predicted attendance, no local economic impact. At one location that's an inconvenience. Across your business, you're scaling what's wrong. PredictHQ's MCP connector gives your AI the verified real-world context it needs to get it right.

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Your locations, in your AI

Real-world context, exactly where you need it

Every business location has its own demand pattern. PredictHQ knows which events are happening nearby, how many people they'll draw, and what that means for your business. Ask about any of your locations directly in your AI assistant and get verified, location-specific intelligence rather than a generic answer that looks right but isn't.

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Ask anything

The right answer starts with a prompt, not a search

Instead of filtering through event lists, just ask. What events are impacting my stores this month? What is the predicted attendance at this location next weekend? Which upcoming events should I be preparing my team for? PredictHQ's MCP connector understands your question and returns verified, structured intelligence. Not a list of results to interpret. An answer you can act on.

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From prompt to forecast

Event-driven forecasts, one conversation away

Ask PredictHQ to run a Beam analysis and generate a forecast for your store or locations directly in your AI assistant. No spreadsheets, no development work, no waiting for an analyst. The same demand intelligence trusted by the world's largest retailers and hospitality brands, available to any manager who knows what they need to plan for.

Forecast for free
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The full platform, accessible through a prompt

The MCP connector gives your AI assistant access to the complete PredictHQ platform. Verified real-world events, demand signals, and event-driven forecasts, all surfaced through natural language. No switching tools. No development work. Just ask.

Customer Stories

Forecasting gets results

Leading companies use PredictHQ Forecasts to improve demand planning, dynamic pricing, and operational decisions with event-aware, explainable forecasts.
Explore use casesMore customer stories
Erica Quintana
Erica Quintana
Marketplace Operations Manager, 
Instacart
With PredictHQ the guesswork is gone, and we can clearly see where disruptions in delivery may arise, helping us deliver orders on time while cutting our manual research time by 50%.
Read Instacart Story

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