v0.1.0 · Apache 2.0
It enables compatible AI agents to audit public web pages, crawl bounded same-host site samples, collect and compare AI answers, and read a user's own Google Search Console data locally.
v1.1.1 · MIT License
Enables AI assistants to search a catalog of framed public-domain masterworks and NASA photography, look up available sizes, frames and prices, and quote orders before tax and shipping. It can also generate a secure Stripe Checkout link so the buyer pays directly, and report order and shipping status without exposing card data.
v0.17.3 · MIT License
Enables AI assistants to read and write Banktivity .bank8 vaults through Core Data, covering accounts, transactions, splits, categories, payees, tags, templates, import rules, scheduled transactions, statements, and securities while keeping edits visible to CloudKit sync.
v1.1.0 · MIT License
Enables agents to safely read lottery data, check jackpots, stats, draw history and proofs, wallet tickets and prizes, manage referrals, and prepare or confirm one bounded, owner-approved ticket purchase on Base or Polygon.
v1.0.0 · MIT License
Lets AI assistants read cookieless website analytics and manage goals, alerts, and uptime checks through a hosted MCP endpoint with permission-scoped access tokens.
v0.1.0 · MIT License
Free, rules-based checks for e-commerce product pages: AI shopping readiness (structured data, reviews, return and shipping terms, GTINs, AI crawler access), Google Merchant Center compliance, store SEO audit and Shopify checkout deadlines. No AI calls, nothing stored.
v0.0.0 · Apache 2.0
Enables AI agents to query Korean public data from OpenDART, data.go.kr and law.go.kr — corporate filings and financials, stock prices, apartment trades, business registration status, holidays, statutes in force on a given date, and court rulings. It corrects the live APIs' known traps (mislabeled periods, not-yet-in-force laws, cancelled trades, changed district codes) so answers come back right, with evidence.
v0.1.0 · MIT License
Checks media-plan taste claims against Qloo audience data and returns a verdict per pick with the audience's real preferences. Also exposes what fans of one thing love in another category, so agents can validate picks before spending ad money.