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    Enables AI assistants to identify and quantify value leaks in organizations using Melt's methodology, providing structured estimates instead of generic vendor lists.
    3
    104
    MIT
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    Enables natural language control of OmniPlan 4 on macOS, allowing creation and manipulation of tasks, resources, dependencies, and project metadata through MCP-compatible agents.
    22
    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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    904
    MIT
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    A single source of truth for a product's state, roadmap, and deferred work, read and written equally by you and your AI agent via web dashboard and MCP.
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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 management of PMO entities such as actions, risks, issues, projects, deliverables, decisions, KPIs, and objectives through natural language from any MCP-compatible agent.
    143
    Server Side Public , v 1
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    MCP server for Jama Connect that brings requirements, traceability, tests, and baselines into MCP clients like Claude, Cursor, VS Code, or GitHub Copilot, with access control, audit trail, and rate limiting. It provides 53 tools across 8 individually enableable toolsets, with an admin dashboard for managing access and usage.
    MIT
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    MCP server for Open Feedback, enabling AI assistants to submit, list, get, update status of, and analyze product feedback via a local HTTP API and JSONL storage.
    346
    Apache 2.0
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    An MCP server that enables AI tools to interact with the Lalaleap project management system using natural language, allowing creation and management of requirements, bugs, todos, and projects.
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    Enables Claude to read and write product requirement documents section by section via 33 MCP tools, drastically reducing token consumption by loading only relevant sections and summaries instead of the full document.
    7
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    Provides access to an Electric Submersible Pump (ESP) parts and Bill of Materials database via an MCP server. It enables AI assistants to manage pump models, retrieve assembly components, and analyze BOM summaries including part weights and criticality.