Agent Signal

Name: Agent Signal
Author: dan24ou-cpu

by dan24ou-cpucommunityv1.0.0

MCP server for sharing shopping-agent intelligence across sessions, including product, category, merchant, pricing, and outcome data. It lets agents log shopping activity and query aggregated insights such as similar session outcomes, deal detection, and competitive analysis.

From the registry: Collective intelligence for AI shopping agents — product intel, deals, and more

GitHub Repository

Install & configure

Install in your client

Paste into the AI you're chatting with — it will figure out the rest

Please install the `agent-signal` MCP server into my current AI client (that's you).

Canonical MCP server config (HTTP transport):
- url: `https://agent-signal-production.up.railway.app/mcp`

Note: Hosted remote MCP (zero install). Local alternative: npx agent-signal.

Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.

Note: Hosted remote MCP (zero install). Local alternative: npx agent-signal.

Tools (23)

smart_shopping_session

Start a shopping session and get category intelligence and similar session outcomes in one call.

evaluate_and_compare

Log a product evaluation and get product intelligence and a deal verdict in one call.

get_product_intelligence

Returns selection rate, rejection reasons, competitors that beat the product, and why.

get_category_recommendations

Returns top picks, decision factors, common requirements, and average budgets for a category.

check_merchant_reliability

Shows stock accuracy, selection rate, and purchase outcomes by merchant.

get_similar_session_outcomes

Shows what agents with similar constraints ended up choosing.

detect_deal

Compares a price against historical data and returns a price verdict.

get_warnings

Flags stock issues, high rejection rates, and abandonment signals.

get_constraint_match

Finds products that exactly match the given constraints.

get_competitive_landscape

Shows category rank, head-to-head win rate, competitors, and price positioning.

get_rejection_analysis

Explains why agents reject a product and what they chose instead.

get_category_demand

Environment variables

DATABASE_URLrequiredPostgreSQL connection string used for the self-hosted server.

Packages

agent-signal

npmv0.2.1transport: stdio

Remote Endpoints

https://agent-signal-production.up.railway.app/mcp

type: streamable-http

Details

Language: TypeScript
Released: Mar 20, 2026
Last commit: Apr 17, 2026
Registry name: io.github.dan24ou-cpu/agent-signal

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Shows what agents are searching for, unmet needs, budget distribution, and market gaps.

get_merchant_scorecard

Returns a merchant report covering stock reliability, price competitiveness, and selection rates.

get_budget_products

Finds the best products within a budget, ranked by agent selections.

get_trending_products

Shows products trending up or down based on selection-rate changes.

create_price_alert

Creates a price alert that triggers when a product is at or below a target price.

check_price_alerts

Checks which price alerts have been triggered recently.

log_shopping_session

Logs shopping intent, constraints, budget, and exclusions.

log_product_evaluation

Logs a product considered, its match score, disposition, and rejection reason.

log_comparison

Logs products compared, the winner, and the deciding factor.

log_outcome

Logs the final shopping result such as purchased, recommended, abandoned, or deferred.

import_completed_session

Bulk imports a completed shopping session retroactively.

get_session_summary

Retrieves full details for a shopping session.