# AIBuilder Marketplace Muse connector

From musedirectory.ai, the independent directory of Meta Muse connectors. Not affiliated with Meta.

## AIBuilder Marketplace

Compare software pricing, cost traps and total cost of ownership for 540 business tools

- Record: https://musedirectory.ai/connector/aibuilder-marketplace
- Category: Finance & Bills
- Developer: AIBuilder Marketplace (https://aibuildermarketplace.com/agents/)
- Muse status: Extra setup. Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
- Health: Working, 95ms, checked 2026-10-29T09:45:51Z
- Endpoint: https://api.aibuildermarketplace.com/mcp
- Auth: No account needed; Pricing: unknown
- Screening: Screened, no issues found (2026-10-29T06:01:09Z)
- Source: Found in the official MCP Registry (com.aibuildermarketplace/software-pricing) https://registry.modelcontextprotocol.io/v0/servers?search=com.aibuildermarketplace%2Fsoftware-pricing

Database of pricing plans, cost traps with evidence, and hands-on test results for 540 business software tools. Helps buyers estimate costs at different team sizes, compare products side by side, check choices against requirements, and find vendor offers before purchase.

Example request: "Compare the cost of three project management tools for a team of 10 people on annual billing to find the cheapest option that fits our budget."

How to connect: Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use AIBuilder Marketplace to help me. It is a free service with an MCP server at https://api.aibuildermarketplace.com/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Tools:
- search_products: 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.
- get_product: 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 aff
- compare_products: 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.
- get_evidence: 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 pub
- estimate_cost: 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 publish
- cost_at_growth: Cost as a team grows: the cheapest fitting plan at each size and the points where the best plan changes.
- check_choice: 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_met
- get_task_evidence: 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 pl
- build_purchase_dossier: 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 affil
- recheck_dossier: 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: 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 alphabetic
- get_offer: 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 
- check_offer_eligibility: 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 vend
- compare_offer_costs: 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, s
- list_categories: All categories with their product counts.

Screening checks:
- MCP handshake: pass (Answered in 116ms)
- Domain against threat feeds (Cloudflare security DNS): pass (api.aibuildermarketplace.com, aibuildermarketplace.com not flagged)
- Published packages against the OSV malicious-package database: n/a (No npm or PyPI package published)
- Hidden instructions or invisible characters in tool text: pass (15 tools read, nothing found)
- Inputs asking for passwords, card numbers or seed phrases: pass (None found)
- Domain and redirects: pass (Domain registered 202 days ago)
- AI review of purpose and tool behavior: pass (No concerns)