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AgentSignal

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Collective intelligence for AI shopping agents — 23 MCP tools for buyer intelligence, seller analytics, price alerts, and trend tracking.

Install
How to run this server
[ { "cmd": "npx agent-signal", "imports": [] } ]
server path: agentsignal
Tools
What this server exposes
smart_shopping_session
Start session + get category intelligence + similar session outcomes — all in one call
evaluate_and_compare
Log product evaluation + get product intelligence + deal verdict — all in one call
get_product_intelligence
Selection rate, rejection reasons, which competitors beat it and why
get_category_recommendations
Top picks, decision factors, common requirements, average budgets
check_merchant_reliability
Stock accuracy, selection rate, purchase outcomes by merchant
get_similar_session_outcomes
What agents with similar constraints ended up choosing
detect_deal
Price verdict against historical data — best_price_ever to above_average
get_warnings
Stock issues, high rejection rates, abandonment signals
get_constraint_match
Products that exactly match your constraints — skip the search
get_competitive_landscape
Category rank, head-to-head win rate, who beats you and why, price positioning
get_rejection_analysis
Why agents reject your product, weekly trends, what they chose instead
get_category_demand
What agents are searching for, unmet needs, budget distribution, market gaps
get_merchant_scorecard
Full merchant report — stock reliability, price competitiveness, selection rates by category
get_budget_products
Best products within a specific budget — ranked by agent selections, with merchant availability
get_trending_products
Products trending up or down — compares current vs previous period selection rates
create_price_alert
Set a price alert — triggers when agents spot the product at or below your target
check_price_alerts
Check which alerts have been triggered by recent agent activity
log_shopping_session
Shopping intent, constraints, budget, exclusions
log_product_evaluation
Product considered, match score, disposition + rejection reason
log_comparison
Products compared, dimensions, winner, deciding factor
log_outcome
Final result — purchased, recommended, abandoned, or deferred
import_completed_session
Bulk import a completed session retroactively
get_session_summary
Retrieve full session details
Configuration
Environment & auth
authnone
envDATABASE_URL
Resources
AgentSignal — MCP Server · libregistry