AI Agent Marketing Math + Real-time Signals
Deterministic marketing math and live demand signals for AI agents. This MCP server provides hallucination-free KPI forecasting, constrained budget optimization, and real-time market telemetry via Reddit and Wikipedia engagement data allowing agents to perform precision-critical planning without external API overhead.
Marketing Intelligence & Budget Engine
The Marketing Intelligence & Budget Engine is a high-precision MCP server designed to serve as the "logical brain" for AI marketing agents. While standard LLMs often struggle with complex, multi-step marketing math and lack access to real-time market trends, this server provides a deterministic, validation-heavy backend for professional-grade campaign planning.
🚀 Why Use This MCP?
General-purpose AI agents often hallucinate when tasked with constrained budget allocations or ROI forecasting. This server eliminates that risk by providing:
- Zero-Hallucination Math: Every calculation is deterministic and grounded in standard business statistics
- Live Market Telemetry: Pulls real-time engagement signals from Reddit and Wikipedia to validate market demand—data that LLMs cannot access natively due to training cutoffs.
- Defensive API Design: Uses strict zod validation to catch malformed agent requests and return actionable error messages, ensuring your workflows never break.
đź› Core Tools & Functions
| Tool | Purpose | Key Inputs |
|---|---|---|
| forecast_channel_kpis | Predicts ROAS, conversions, and revenue based on historical rates. | Budget, CPC, CTR, CVR, AOV |
| break_even_cac | Calculates the maximum allowable cost to acquire a customer based on margins | AOV, Gross Margin %, Payback Period |
| optimize_budget_allocation | Solves the "Knapsack Problem" for marketing—distributing budget across channels to maximize conversions | Total Budget, Channel Constraints (Min/Max) |
| get_reddit_market_signal | Scans subreddits for live engagement spikes and sentiment momentum. | Keyword, Subreddit, Window |
| get_wikipedia_demand_signal | Tracks real-world curiosity and search intent trends via pageview telemetry. | Keyword, Days |
🏗 Technical Excellence
- Stateless Architecture: No databases or persistent storage required; all computations are performed on the fly.
- Express/HTTP Transport: Fully compatible with MCPize cloud hosting and standard MCP inspectors.
- Precision Math: Utilizes mathjs for all numeric operations to prevent the rounding errors common in standard JavaScript.
- Zero External API Overhead: Uses public, unauthenticated endpoints for live signals, meaning $0 operating costs for the developer.
đź‘Ą Use Cases
- Autonomous Growth Agents: Let your AI agent reallocate your Meta and Google ad spend every morning based on real-time Wikipedia trending data.
- FP&A Dashboards: Provide startup founders with deterministic "Best/Worst/Base" case scenarios for quarterly planning.
- Market Research: Instantly rank product keywords by "Live Demand" scores to prioritize content marketing efforts.
Who This Is For
Marketing managers needing data-driven budget predictions, FP&A professionals in ad agencies or enterprises, and developers building planning tools that require forecast APIs. Targets teams handling $100K+ annual marketing spends seeking to reduce over/under-allocation errors.