"Product Hunt" matching MCP servers:

Provides a memory server for coding agents over MCP, capturing and retrieving the meaning and rationale behind code decisions down to the function level. It enables agents to search product memory, get task context, and propose new memories to avoid re-deriving or re-breaking past decisions.

Enables management of Product Fruits knowledge base articles, categories, and images through natural language commands via MCP.

A passive context server that stores product knowledge, generates structured prompts, and coordinates multi-agent workflows via the Model Context Protocol, enabling AI coding tools to share a full picture of the product.

Enables AI agents to capture, store, and retrieve durable learnings from projects via MCP tools, providing a queryable memory of product and technical lessons across repos.

A unified FastAPI web panel and single MCP gateway that aggregates knowledge base, cloud drive, kanban, memory, and ops agent capabilities for the Brain product family.

Enables comprehensive management of Google Ads accounts by allowing users to create campaigns, manage keywords, and generate performance reports through a context-aware interface. It features a three-layer architecture that integrates product knowledge and historical campaign data to support intelligent decision-making.

Autonomous spec-to-product coding-agent CLI. Its MCP server exposes 34 tools over stdio: project state and task-queue ops, memory retrieve/store, code search, quality and verification reports, repo hotspots/co-changes, and structured findings/learnings.

A zero-database MCP knowledgebase template for Vercel that exposes static Markdown content to AI agents through clean MCP surfaces.

Enables AI agents to query and manage company knowledge from a Supabase GraphRAG store, including accounts, meetings, people, org hierarchy, product docs, and call logs.

Enables querying context about the MAM product components and architecture through MCP, allowing agents to retrieve targeted product information on demand instead of loading full documentation.

Enables coding agents to access structured product context (decisions, goals, evidence) from meetings and tools, ensuring they build from actual product decisions.

Enables AI coding agents to access persistent, structured product context (personas, journeys, specs, decisions, domain rules) on demand, eliminating the need to re-explain product knowledge each session.

Enables AI coding agents to search, read, and write notes in an Obsidian vault via MCP tools, and monitor product handoffs and state.

Provides structured access to actionable insights, frameworks, and leadership advice curated from episodes of Lenny's Podcast. It enables users to search for specific product management situations, compare guest perspectives, and browse a catalog of industry frameworks.

Enables agents to manage household pantry inventory, dietary preferences, meal planning, product search, and shopping cart workflows over Streamable HTTP, with optional Bedrock-backed meal generation.

Pitch keeps approved product facts, proof, and numbers a sales assistant is allowed to say. A 14-day trial, then Pro. The price is only at checkout.

Decision memory for Cursor and Claude Desktop via local stdio MCP. Install: npx -y @neitherai/mcp-server@latest. Get a workspace API key: https://www.neither.online/start/?product=dev&utm_source=glama

Automatically captures technical and product decisions from Claude Mac app sessions and writes them into project files, enabling seamless context transfer between strategy and coding sessions.

Integrates the OpenViking context database with Cloudwise SA Workflow Skills to enable semantic search and access to product catalogs or solution templates. It supports hierarchical context loading for optimized token usage and includes a mock mode for testing without a live backend.

Provides hierarchical RAG over 299 Lenny Rachitsky podcast transcripts for product development brainstorming and insight retrieval. It enables semantic search across topics, insights, and examples to surface expert advice on product management and growth.