"Pi-hole" matching MCP servers:

A Python MCP server that gives Claude access to PM workflow data such as sprints, roadmap, blockers, and workload, using synthetic fixture data (no API keys required) and can be forked for real Linear/Jira integration.

MCP server for AI agents providing 300 curated Japanese home & lifestyle products across 31 categories. Features mm-precision dimension search, related-item chains (1 product → 3-5 accessories), shelf+storage coordination, and Rakuten/Amazon affiliate links.

An AI-powered Product Management Operating System that provides tools for PRDs, user stories, prioritization, competitor analysis, roadmaps, KPIs, meeting notes, and product strategy via MCP clients.

Remote MCP server for Pruva, enabling AI assistants to manage products, features, and documents over HTTPS with OAuth authentication.

Connects AI agents to the Outset research platform for creating studies, managing recruitment, and querying results via the Model Context Protocol.

Gives AI agents governed, read-only access to product marketing intelligence such as positioning, messaging, win/loss, and competitive briefs, plus persona-based draft reviews.

Product management copilot that connects Claude to HelpScout support tickets and ProductLift feature requests. Synthesizes customer feedback across sources, scores themes by convergence, and generates prioritized product plans.

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.

Remote MCP server that lets AI assistants read tracked competitive intelligence — competitor news, reviews, website changes, social posts and ads — and act on it by managing projects, competitors, battle cards, reports and canvases. Every answer carries a source and a date, and write actions only publish when explicitly shared.

Turns product ideas into implementation-ready planning packages including PRD, requirements, user flow, wireframes, data schema, API contracts, and SDK boundaries, with an MCP handoff for coding agents.

Enables auditing product review streams for review-velocity clustering, sentiment dissonance, repetitive incentivized phrases, and review hijacking. Produces adjusted authentic ratings and authenticity indexes for e-commerce products.

Calculates ROI, break-even, and cost projections for AI agents and automation projects, providing instant answers without external APIs.

Feedback Analyzer AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables PM radar analysis of Jira projects, providing daily, sprint, and backlog reports with issue context and search.

Generates structured, validated PRDs from feature descriptions via a staged reducer pipeline. Provides MCP tools for pipeline control, section/document validation, context budgeting, and failure-to-retrieval mapping.

Enables prioritization of backlog items, analysis of customer feedback, capacity assessment, and dependency mapping for product management.

Gives Claude four decision tools for product management: rank backlog, mine customer feedback, size sprint capacity, and trace dependency risk, all grounded in JSON data.

A multi-agent product-management copilot that automates morning briefings, metrics answers, knowledge lookups over an Obsidian vault, and PRD/ticket drafting.

MCP server providing tools for product management decision-making including backlog prioritization, feedback analysis, capacity assessment, and dependency mapping.

Enables AI assistants to manage the product management workflow—turning meeting recordings into prototypes, PRDs, and review records through a 53-tool agent with six-stage SOP and self-evolving skills.