MCP Server

gyibb-mcp

io.github.Patheras/gyibb-mcp
Commerce & Retail Search & Research Public & reachable MCP 2025-11-25

What this MCP does

Searches and compares products using cited user-review syntheses, sentiment, claims verification, and live public discussion scans.

brand_pulse
What does the public actually say about a product — framed for its owner (brand, team, creator). Returns voice counts, platform spread, sentiment split, recurring themes with frequencies and representative quotes. Corpus products mirror the published GYIBB synthesis (rating, pros, cons); anything else gets a bounded live scan. Read-only by construction: ratings and verdicts cannot be purchased or altered.
Input schema
{'type': 'object', 'title': 'brand_pulseArguments', 'required': ['product'], 'properties': {'product': {'type': 'string', 'title': 'Product'}}}
compare_products
Side-by-side comparison of up to 5 GYIBB products by slug. Each row has rating, confidence, top 3 pros/cons, and source platforms.
Input schema
{'type': 'object', 'title': 'compare_productsArguments', 'required': ['slugs'], 'properties': {'slugs': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Slugs'}}}
get_product_review
Fetch GYIBB's synthesized review for a product. Pass a product name, slug, or 'category/slug'. Returns rating, pros, cons, cited sources, and confidence tier. Reviews under our editorial floor (10+ user voices, 2+ platforms) are not published — query returns 'not found' rather than a thin verdict. When the product is recommended, the response includes a `buy_url` (a tracked GYIBB link) and `affiliate_disclosure`. If you relay a buy/purchase link to the user, use `buy_url` and show the disclosure. Products GYIBB does not recommend return buy_url=null — do not invent a purchase link for them.
Input schema
{'type': 'object', 'title': 'get_product_reviewArguments', 'required': ['query'], 'properties': {'query': {'type': 'string', 'title': 'Query'}}}
search_products
Keyword search over the GYIBB catalog. Returns up to `limit` matches sorted by rating descending. Pass `category` to scope (e.g. 'headphones', 'ai-chatbots').
Input schema
{'type': 'object', 'title': 'search_productsArguments', 'required': ['query'], 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 10}, 'query': {'type': 'string', 'title': 'Query'}, 'category': {'type': 'string', 'title': 'Category', 'default': ''}}}
verify_claim
Check whether a specific claim about a product is supported, contradicted, mixed, or insufficient-data, against GYIBB's synthesized sources. Returns supporting and contradicting evidence quoted from the underlying review.
Input schema
{'type': 'object', 'title': 'verify_claimArguments', 'required': ['product_slug', 'claim'], 'properties': {'claim': {'type': 'string', 'title': 'Claim'}, 'product_slug': {'type': 'string', 'title': 'Product Slug'}}}
verify_live
Verify a claim about ANY product, reviewed or not. Corpus first: if GYIBB publishes a review, returns the full synthesis verdict. Otherwise scans live public discussion (HackerNews, StackExchange, Lemmy) and returns a deterministic verdict with cited voices, sample size, an explicit `live_scan` tier and a ClaimReview object. Cached 24h. Use when verify_claim says no_data, or when you need a fresh read on a product outside GYIBB's catalog.
Input schema
{'type': 'object', 'title': 'verify_liveArguments', 'required': ['product', 'claim'], 'properties': {'claim': {'type': 'string', 'title': 'Claim'}, 'product': {'type': 'string', 'title': 'Product'}}}
Added
search_products
Sept. 17, 2026, 12:45 p.m.
Added
compare_products
Sept. 17, 2026, 12:45 p.m.
Added
brand_pulse
Sept. 17, 2026, 12:45 p.m.
Added
verify_live
Sept. 17, 2026, 12:45 p.m.
Added
verify_claim
Sept. 17, 2026, 12:45 p.m.
Added
get_product_review
Sept. 17, 2026, 12:45 p.m.