MCP server

AIBuilder Marketplace: software pricing dossiers Official

com.aibuildermarketplace/software-pricing

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Dated plan prices, cost traps with evidence and hands-on results for 540 business-software tools.

Working at last checkVerified publisher: aibuildermarketplace.comAbout 3,155 tokens per request once connected15 tools

Website

https://api.aibuildermarketplace.com/mcp

At a glance

Type: MCP server
Publisher: aibuildermarketplace.com (verified by the MCP Registry)
Status: Working at last check
Tools: 15
Token cost: About 3,155 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http software-pricing https://api.aibuildermarketplace.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.software-pricing]
url = "https://api.aibuildermarketplace.com/mcp"

Gemini CLI

{"mcpServers":{"software-pricing":{"httpUrl":"https://api.aibuildermarketplace.com/mcp"}}}

Cursor

{"mcpServers":{"software-pricing":{"url":"https://api.aibuildermarketplace.com/mcp"}}}

VS Code

{"servers":{"software-pricing":{"type":"http","url":"https://api.aibuildermarketplace.com/mcp"}}}

Antigravity

agy mcp add software-pricing https://api.aibuildermarketplace.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"software-pricing","server_url":"https://api.aibuildermarketplace.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"software-pricing","server_url":"https://api.aibuildermarketplace.com/mcp"}

Tools

build_purchase_dossier Moves money · ~385 tokens
Build a purchase file for 1 to 6 candidate products against the same requirements (same fields as check_choice). Returns per candidate the check with evidence, the cheapest fitting plan's cost where computable, our hands-on test results, unknowns and the vendor handoff with affiliate disclosure; a f
check_choice ~298 tokens
Check a software choice against requirements before buying. requirements (all optional): units, billing ('monthly'|'annual'), plan_id, budget_month {amount, currency}, needs_monthly_billing, max_commitment_months, needs_free_plan, avoid_cost_traps [quote_only, per_seat, usage_metered, renewal_jump,
check_offer_eligibility ~192 tokens
Check whether an offer fits a buyer's situation: {customer: new|existing, plan, billing: monthly|annual|biennial}. Returns matches, does_not_match (with reasons) or needs_confirmation (missing information, an unconfirmed offer, or a pilot granted case by case), plus what the vendor did not state. A
compare_offer_costs ~264 tokens
Compare 1 to 3 offers on the same billing term and period. prices maps offer_id to the monthly price the buyer would pay for that product without the offer (same currency as the vendor). Returns fit and cost per offer: pay today, cost over the period with and without the offer, saving, or why it can
compare_products ~156 tokens
Compare 2 to 6 products side by side. Every requested id is returned, found or not. With units, adds the cheapest fitting plan's cost where price rules exist.
cost_at_growth ~139 tokens
Cost as a team grows: the cheapest fitting plan at each size and the points where the best plan changes.
estimate_cost ~297 tokens
Cost of each plan at a team size (or companies/orders, per the product's axis) on monthly or annual billing: monthly equivalent, amount billed per period, commitment, minimums, add-ons and usage. Only for products with price rules; says so otherwise. Never guesses between published price steps: retu
get_evidence ~178 tokens
The evidence behind a product's cost traps and free-plan flag: the exact sentences from our pricing notes, the date they were read and the source. Also returns measured when present: our own hands-on claims, exit test and facts (true, false or not_tested), each with dates and public review evidence;
get_offer ~140 tokens
The full record of one offer: type, benefit and its structure, eligibility as recorded (null = the vendor did not say), claim steps, code, limits, evidence with dates, deadline, cost after the offer where known, and the vendor handoff with affiliate disclosure. No offer has been tested at a checkout
get_product ~142 tokens
The full record for one product: plans, every cost trap with its full evidence sentence, pricing date, unknowns, own hands-on observations in measured (claims, exit-test scope and three-valued facts with dates and review links), price rules if any, and the vendor handoff with affiliate disclosure.
get_task_evidence ~230 tokens
What we observed when we ran products ourselves. Search by task words, product id or result (passed_in_this_test, partial_in_this_test, failed_in_this_test, not_tested, not_available_on_tested_plan, observation). Each result applies to the product as it was on run_date, on the plan stated; a later v
list_categories ~48 tokens
All categories with their product counts.
recheck_dossier ~139 tokens
Re-check a purchase file built earlier: pass the whole dossier back. Reports which underlying facts changed (entry price, plans, cost traps, price rules, research status, pricing date) and which conclusions that affects. Never buys, cancels or switches anything.
search_offers ~258 tokens
Find reader offers and vendor offers on our deal pages (discounts, extra credits, longer trials, conditional pilots). Each row has the evidence and its date, the verification status and the deadline in UTC. Expired offers are left out unless include_expired. Ranking is alphabetical, never by discoun
search_products ~289 tokens
Find software products by task or name, with optional filters. Returns compact rows (id, entry price, cost-trap ids, pricing date). Ranking is text relevance only, never commission.

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