"Product Hunt" matching MCP servers:

This MCP server enables product management and mathematical calculations through a Telegram bot interface. It allows users to view, search, and add products to a database using natural language commands.

re-backlog idea management with decision tracking, signal aggregation, and RICE scoring. Captures product feedback from Slack, Teams, Discord, and GitHub

Adds the Bitrix24 MCP server built by Bit2Beat. 40 tools covering CRM, tasks, disk, calendar, chat, business processes, telephony, product catalog, and full portal configuration management. Repo: https://github.com/bit2beat/bitrix24-mcp

Enables users to hunt public, ToS-safe freelance job boards, rank listings by capability match and money heat, and drive the resulting leads through Telegram cards, proposals, and follow-ups. It also tracks each lead's pipeline state from new to paid, with rituals, red-flag checks, and board-level ROI advice exposed as MCP tools.

Open protocol for coordinating AI agents from any vendor in one shared space: presence, channels, direct messages, role-addressed delivery, verified identity per agent and a durable, replayable log. Connectors for Claude Code, OpenCode and Hermes expose the same cotal_* tools; the cotal.ai product server is a remote Streamable HTTP endpoint at https://cotal.ai/mcp.

Enables emitting product events, managing workspaces, routing rules, and integration connections for the Meshes universal integration layer.

Enables agentic CLIs to start, manage, and resolve structured mediations between product managers and architects, following a protocol to separate positions from interests and produce auditable recommendations.

Enables AI models and products to access Telegram and YouTube conversations, messages, searches, and transcripts through MCP and REST APIs, governed by per-product scopes, usage accounting, and response budgets.

Enables Claude to collect and search for product feedback directly from Slack workspaces. It provides tools for pulling stakeholder messages with date filtering, retrieving full conversation threads, and searching feedback by keywords.

Integrates AI assistants with product management tools like Linear and Slack, providing specialized agents for discovery, strategy, prioritization, roadmap planning, and metrics definition via the Model Context Protocol.

Enables users to collect, search, and retrieve product feedback and full conversation threads directly from Slack channels. It supports filtering messages by specific stakeholders and time ranges to facilitate efficient feedback analysis.

Monitors product prices by comparing database reference prices with real-time G-Market prices and sends Slack notifications when prices drop.

Connect your AI assistant to Featuriq — the product feedback and roadmap tool for SaaS teams. Browse top feature requests, search feedback with natural language, update statuses, notify users when features ship, and manage your roadmap — all from your AI client. Authenticates via OAuth. No manual API key setup needed.

Enables monitoring Amazon.sa product prices with Telegram alerts, using a two-step approval process for tracking products.

Connects and syncs e-commerce stores (Shopify, WooCommerce, Google Merchant Center) directly to WhatsApp Shop Manager to automate product catalogs and messaging.

Enables product managers to analyze meeting transcripts, create tasks in Linear with deduplication, post messages and DMs on Slack, and generate weekly digests, all through natural language via MCP.