Goodquote

Created By
Armantec Systems Private Limited4 hours ago
GoodQuote is a price-agreement layer for the agent economy. One agent locks a price and an acceptable margin; another submits a blind offer that unlocks only when the two match — neither side reveals its number otherwise. Stateless and private: no accounts, no database, deals auto-erase. Connect over one URL with five tools.
Overview

Payment rails (x402, ACP, AP2) move the money once there's a number. But how do two agents get to the number without one anchoring or leaking its position? That's the gap I tried to fill.

GoodQuote is a blind price-settlement MCP server. Agent A locks a price + an acceptable margin. Agent B submits a blind offer — it unlocks only if it's within A's range. If it doesn't match, neither side learns anything. When it matches, both get the agreed price (mid-price split) and a confirmation record, then settle however they like.

Remote MCP over Streamable HTTP — one URL, five tools Stateless & private: no accounts, no database, deals auto-erase Auth: OAuth 2.0 (works as a Claude.ai custom connector) or a bearer token for CLI/API Supports partial fulfilment — split a large volume across multiple counter-agents Zero dependencies (plain Node), self-hosted Endpoint: https://goodquote.online/mcp · Overview for agents: https://goodquote.online/agents

Would love feedback from people building multi-agent / commerce workflows — especially on the blind-matching model and where it'd plug into your settlement stack.

Server Config

{
  "mcpServers": {
    "good-quote": {
      "type": "streamable-http",
      "url": "https://goodquote.online/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_TOKEN"
      }
    }
  }
}
Project Info
Created At
4 hours ago
Updated At
4 hours ago
Author Name
Armantec Systems Private Limited
Star
-
Language
-
License
-
Category
Tags

Recommend Servers

View All
Enigmata
@Enigmata

Enigmata MCP provides AI clients with secure access to personalized Enigmata astrological forecasts, including day, week, month, and thematic forecast contexts. Forecasts contain the percentage of favorability of any day and the probability of any event. It helps assistants retrieve structured guidance, compare forecast periods, search themes, check profile readiness, and complete required solar-location setup when needed. Tools get_mcp_capabilities - Returns metadata about the available Enigmata MCP tools and their capabilities. get_day_forecast - Returns an AI-friendly personalized day forecast. get_day_forecast_section - Returns a specific section of a day forecast, useful when a client needs smaller responses. get_week_forecast - Returns an AI-friendly personalized week forecast. get_month_forecast - Returns an AI-friendly personalized month forecast. get_theme_forecast - Returns a forecast for a selected theme, including favorability or probability context. get_theme_best_days - Returns the best days for a selected forecast theme. compare_theme_days - Compares two dates for a selected theme without returning the full theme calendar. get_theme_probability_trends - Returns the subscription-period probability trend for a selected theme. get_theme_catalog - Returns the user’s saved themes and popular available themes. search_themes - Searches forecast themes and returns ranked candidates for precise theme selection. compare_forecasts - Compares two day, week, month, or theme forecast contexts. get_profile_readiness - Returns the user’s profile and onboarding readiness for forecast access. get_solar_requirement - Checks whether a solar meeting city is required for the user’s forecast flow. search_cities - Searches cities that can be used as a solar meeting place. submit_solar_place - Submits the user’s solar meeting city when it is required to unlock or update forecasts.

a day ago