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    Validates startup ideas with a deterministic scorecard, evidence brief, and verdict before code is written, integrating with MCP-aware build agents to avoid building dead-on-arrival products.
    1
    23
    MIT
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    C
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    Enables reading and editing Avo tracking plans through natural language, with skills for designing new plans and working with existing ones.
    1
    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.
    MIT
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    Enables AI orchestrators to manage hierarchical implementation roadmaps with phases, tasks, and plan-change tracking.
    Apache 2.0
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    A production-ready MCP server enabling AI assistants to interact with Jira projects, issues, sprints, users, attachments, and worklogs via natural language, with support for both local stdio and remote HTTP transports, dual authentication methods, and enterprise-grade security controls.
    2
    Apache 2.0
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    B
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    A Jira-lite MCP server that enables planning-first workflows for AI-assisted development. It manages tickets as markdown files with YAML frontmatter, guiding agents through epics, stories, tasks, and architecture decision records.
    MIT
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    Integrates with Aha.io product management platform, enabling offline data synchronization, semantic search, and workflow automation via natural language.
    142
    6
    MIT
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    Headless MCP server for Simpson Strong-Tie product data. Provides AI agents with structural connector lookups, load calculations, code compliance verification, and engineering specifications.
    MIT
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    Enables interaction with PostHog's product analytics platform through natural language, allowing users to manage feature flags, view errors, and access other platform features.
    1
    MIT
  • A
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    Enables AI agents to interact with VoteShip feature requests, voting boards, roadmaps, and changelogs, including public board access without credentials and authenticated project administration with a project secret.
    MIT
  • A
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    B
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    Enables AI agents to interact with Plane project management APIs, offering tools for managing projects, work items, cycles, modules, initiatives, and more through MCP.
    MIT
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    B
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    MCP server for product analytics using dot plots to visualize individual user activity, with tools for user classification, aha moment detection, retention analysis, and generating shareable HTML reports.
    1
    MIT
  • A
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    maintenance
    Enables AI assistants to interact with your Productboard workspace, allowing features, products, notes, objectives, key results, and releases management.
    20
    MIT