"Product Hunt" matching MCP servers:

Provides AI agents with 0–100 marketplace-evidence scores for retail product listings, enabling inspection and comparison of products across Amazon, Walmart, Target, and Best Buy using native retailer IDs.

MCP server providing direct tool-access to security-testing primitives for bug bounty hunting, including recon, request replay, IDOR/BOLA fuzzing, vulnerability detection, secrets scanning, and persistent hunt memory with confidence-scored findings.

A read-only research MCP server that provides search and browsing tools for Hacker News, Reddit, and Product Hunt. Works with zero API keys for basic use.

Connects Claude Code to BountyLens Hunter Tracker for managing bug bounty hunt sessions, findings, leads, and programs.

Enables MCP clients to search and retrieve product management articles, talks, podcasts, related content, live events, and job listings from Mind the Product through read-only tools and resources.

Search product catalogs across thousands of Central European e-shops. Semantic search, keyword matching, GTIN/EAN lookup — via REST API or MCP. \~2,500 e-shops | ~8.5M products | 7 countries (CZ, SK, PL, HU, RO, DE, AT)

Enables aspect-level sentiment mining from customer reviews and produces satisfaction radar breakdowns with structured output for AI agents.

Enables autonomous creator operations and influencer marketing automation by dispatching product seeding kits and coordinating unboxing workflows through MCP-compliant clients.

A full-feature MCP server that serves as a product-development copilot, providing RAG search, SQL queries, and inline chart visualizations from seeded product data, with per-user identity and its own OAuth login.

Exposes KanexPro CMS API as tools for Claude, enabling product lookup, category listing, and content publishing.

8 standalone MCP servers for SMBs — Guardrails (prompt injection, PII, secrets detection), FinOps (AI cost tracking and budgets), Observability (agent tracing), Smart Router (17+ models, 9 providers), Trust Score (governance scoring 0-100), Memory (persistent agent memory), ThinkSecure (runtime security + SOC2/GDPR audit), and A2A Lite (agent-to-agent protocol). 37 tools total, TNC credits

An MCP server for Meertrack that enables users to ask their AI agent about competitors' recent activities, digests, and product changes via natural language.

Real-time Amazon Sponsored Products (SP) ad placements, keyword tracking, and comprehensive review data for AI Agents. Enables LLMs to autonomously conduct competitor ad audits, consumer sentiment analysis (VOC), and product optimization.

Turns your AI host into a product videographer — scripted screen recordings of your own web app with a gliding cursor, camera zooms, highlight callouts, captions, and branded transitions, plus marketing-grade screenshots. Automatic dark-frame cleanup and MP4/GIF export. Free, MIT, 100% local — no account, no API keys.

MCP server for Crypto APIs Address History product, enabling querying full blockchain address transaction history for synced addresses across EVM and UTXO blockchains.

Enables AI agents to hire verified human operators for tasks requiring physical presence, human perception, or judgment, such as real-world verification, product testing, and data collection.

Real-time, structured Amazon data for AI agents across 21 marketplaces: product details, seller offers, search results, 12-month sales history, Best Sellers Rank, package dimensions, and seller intelligence. 16 tools including free bulk-job monitoring and account usage tracking, available as a hosted endpoint or via npx.

AutomateLab AI-SEO audits, scores, and rewrites web pages for AI citation eligibility, AEO and GEO. No API keys or registration. Works with Claude, Cursor, Codex, and other MCP clients. Product and documentation: https://automatelab.tech/products/mcp/ai-seo/

Enables agents to evaluate whether a product-adoption message is worth sending by applying a fixed, evidence-based rubric to a draft, recipient context, evidence, and the agent's own assessment, returning a send, revise, or hold recommendation with a score and reasons.

Enables AI agents to dispatch human verifiers for physical world tasks like product authentication, property inspection, and document verification, returning timestamped evidence reports.