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    An opinionated MCP server for App Store Connect that provides 13 curated tools, slash-command workflows, and a Claude Skill to manage apps, reviews, sales, and pre-submission audits via natural language.
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    MIT
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    Enables interaction with PostHog analytics platform, allowing users to list projects, create annotations, and search insights through natural language in Claude Desktop.
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    MIT
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    Enables management of Azure DevOps work items including Epics, Features, User Stories, Tasks, and Bugs through natural language. Supports CRUD operations, WIQL queries, work item relationships, and retrieval of project metadata such as iterations and area paths.
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    MIT
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    Enables natural-language control of e-commerce operations including product management, order processing, inventory tracking, customer service, content generation, and advertising analytics through 15 integrated MCP tools. Provides a local-first commerce automation solution with SQLite storage and extensible channel adapters for end-to-end online store workflows.
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    MIT
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    Enables AI assistants to search Sunex's lens and imager catalog using natural language queries. It provides tools for finding compatible lenses, sensor specifications, and product details through a public Model Context Protocol server.
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    MIT
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    A Model Context Protocol server for FeaturePulse feedback management, enabling AI assistants to query feature requests, analyze MRR impact, and manage product roadmaps through natural language.
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    MIT
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    A federated MCP server that combines IBM's engineering-ai-hub tools with its own authoring and orchestration tools for IBM ELM, enabling AI hosts to manage requirements, models, and compliance through a single interface.
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    MIT
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    Unofficial MCP server for self-hosted Plane Community Edition, enabling project management tasks like managing work items, cycles, modules, and initiatives via natural language.
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    MIT
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    Integrates with Aha.io product management platform, enabling offline data synchronization, semantic search, and workflow automation via natural language.
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    MIT
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    Enables coding agents to access structured product context (decisions, goals, evidence) from meetings and tools, ensuring they build from actual product decisions.
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    MIT