// MCP TOOL REFERENCE

CULTURAL INTELLIGENCE TOOLS

43 tools from the Cultural Intelligence MCP Server, categorised by risk level.

View the Cultural Intelligence policy → Token cost: 3,073 tokens →

// ALL 43 CULTURAL INTELLIGENCE TOOLS

READ 39 tools

Read ad_creative_brief Generate an exact creative spec for a specific platform + product + aesthetic world. Returns hook line, for... Read ask Ask any cultural, style, or shopping question. Returns rich analysis with products, buy links, world bridge... Read ask_culture Ask any question about culture and get an intelligence briefing with bridge data, commerce gaps, and dimens... Read audience_segment Generate an ad-targeting audience segment for a cultural world. Returns addressable size, platform distribu... Read blend Vector arithmetic on cultural coordinates — combine, subtract, or interpolate aesthetic vectors to discover... Read brand_position Look up any brand's cultural position across aesthetics — which worlds it appears in, dimension profile, co... Read bridge Cross-world bridges — shared dimensions, brands, creators, products, and narrative between two cultural wor... Read compare Compare two cultural worlds across all 193 dimensions — shared bridges, divergent identity, dimensional dis... Read compare_worlds Compare two cultural worlds across all 193 dimensions — shared bridges, divergent identity, dimensional dis... Read compound_query Universal commerce query. Combine any cultural parameters (world, emotion, occasion, budget, season, charac... Read construct Generate a product specification from a detected commerce gap. Returns a manufacturing brief with factory r... Read creator_match Match creators to a brand and cultural community. Returns ranked creators with resonance scores, audience o... Read cultural_profile Generate a Cultural Coordinate Profile — the cultural identity fingerprint. Like Myers-Briggs but for aesth... Read cultural_pulse Live cultural dashboard — surging worlds, convergence alerts, vendor activity, system status Read dcr_query Natural language shopping query resolver. Takes a question in plain language and returns personalised produ... Read decode Decompose a query into its cultural dimension profile. Returns the breakdown across aesthetic identity, pur... Read detect_anomalies Detect anomalous demand spikes or drops across cultural worlds. Read emerging Real-time demand radar — rising query clusters with zero or low supply. Shows what people are searching for... Read expand Deep drill into any entity. Returns its full dimensional profile, products, creators, gaps, bridges to adja... Read gap Commerce and content gap detection for a world — what's missing that should exist. LIGO routing (AFFILIATE ... Read gap_predictions Browsable LIGO prediction surface — active commerce gaps sorted by score with 90-day accuracy tracking Read get_forecast Get trend forecast for a cultural world — predicted velocity, trend direction, demand acceleration. Read get_product_link Get tracked buy links for a product ASIN across all global marketplaces. Read get_trend_momentum Compare multiple cultural worlds by current momentum. Returns each world with trend direction, demand accel... Read lookup_creator Look up a creator's cultural coordinates, earnings, and per-market click data. Read lookup_world Get full 193-dimension profile for a cultural world (e.g., dark-academia, quiet-luxury, cottagecore) Read media_pyramid Returns a tiered media monetisation plan for a cultural world. Output includes tier readiness, recommended ... Read neighbors Find the nearest entities in cultural vector space — returns worlds, products, brands, creators sorted by c... Read position Position of a world in cultural space. Returns dimensional coordinates, nearest neighbors, and polarity dir... Read pulse What's moving right now — velocity, acceleration, convergence alerts, emerging worlds, bot demand signals. ... Read recommend Direct access to the recommendation engine. Takes a query, returns ranked worlds + products with tracked bu... Read recommend_products Get culturally-aligned product recommendations for any aesthetic world. Returns brands with affiliate links... Read search Search for cultural worlds matching a query Read shop_world Get shoppable products for a cultural world. Returns products with buy links for 12+ global Amazon marketpl... Read signal Live demand signal strength for a world — pulse, bot hits, crossworld flow, indexing coverage, velocity delta. Read simulate Simulate launching a product or content strategy. Returns expected demand, competition overlap, revenue est... Read trajectory Historical + forecasted trajectory of a world. Returns velocity, acceleration, direction, 7-day forward pro... Read trending Get what's trending in culture right now — velocity, signals, convergence alerts from Reddit + Google Trend... Read velocity Current trend velocity for a world. Returns rate of change, momentum direction, and demand acceleration.

WRITE 2 tools

Write resolve Primary entry point. Takes any input (a product, a mood, a brand, a question, a cultural concept) and retur... Write resolve_vibe Convert any natural language aesthetic/vibe/style description into cultural coordinates. Returns matching w...

EXECUTE 2 tools

Execute creator_deploy Generate a creator content deployment package. Returns a script, opening hook, soundtrack cue, product list... Execute opportunities Ranked commerce and content gaps — what's missing, what to build, what to create. Returns gaps sorted by ea...

// FAQ

How many tools does the Cultural Intelligence MCP server have? +

The Cultural Intelligence MCP server exposes 43 tools across 3 categories: Read, Write, Execute.

How do I enforce policies on Cultural Intelligence tools? +

Route the Cultural Intelligence server through the PolicyLayer gateway. Define allow, deny, or approval rules per tool in the dashboard — they are enforced on every call before it reaches the server.

What risk categories do Cultural Intelligence tools fall into? +

Cultural Intelligence tools are categorised as Read (39), Write (2), Execute (2). Each category has a recommended default policy.

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