Firestarter MCP Server
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- FlicenseNot gradedqualityDmaintenanceEnables AI agents to browse product catalogs, search products with filters, and initiate checkouts, generating order summaries and checkout URLs.-
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to search, compare, and buy products across connected WooCommerce stores with human-in-the-loop approval.MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI agents to programmatically purchase physical and virtual goods from platforms like Amazon and Shopify using stablecoins, without the need for virtual debit cards or browser automation.1-
- FlicenseNot gradedqualityCmaintenanceEnables AI agents to search products across Amazon and live Shopify storefronts, vet merchants, build carts, and obtain checkout URLs via a pay-per-call API with no API key or signup.-
- AlicenseNot gradedqualityCmaintenanceEnables AI shopping agents to search products, check stock, apply promotions, manage cart sessions, and create cryptographically signed checkout sessions on e-commerce storefronts, while giving merchants analytics into agent intent and catalog demand gaps.MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to search products, manage shopping carts, place orders, and retrieve order history from Amazon and Target accounts.2MIT
TDQS
Scored across 89 tools
Long descriptions do a lot of work to separate closely related tools, but several names genuinely overlap in purpose: firestarter_execute vs firestarter_preview, firestarter_list vs firestarter_listings, firestarter_watch vs firestarter_watches, and the family of firestarter_*drop* tools. An agent could easily pick the wrong one without carefully reading the detailed descriptions.
Most tools follow a clear firestarter_verb_noun pattern, but there are many exceptions: bare verbs (check, execute, reprice), plain nouns (status, receipt, payouts), and confusing singular/plural pairs (watch/watches, list/listings, my_market/my_markets). No camelCase or other conventions, so it's still readable, but the pattern is far from uniform.
At 89 tools, this is an extreme count for any single server. Even a multi-faceted marketplace platform would be better split into buyer, seller, and community-focused servers. The sheer volume makes it hard for an agent to navigate and select efficiently.
The tool surface is remarkably complete across buyer purchasing, seller fulfillment, community markets, drops, wallets, and payments. Minor gaps exist—there is no address update/delete, no seller response to reviews, and no explicit tool to update a saved address—but these are edge cases agents can work around.