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"Database reading and data retrieval" matching MCP servers:

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    MCP server that connects to Jira Data Center, enabling issue search, retrieval, creation, comments, workflow transitions, project listing, arbitrary JQL, and turning meeting notes into structured Jira stories, tasks, and bugs.
    13
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    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.
    7
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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.
    45
    904
    MIT
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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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    An MCP server that exposes a Proof workspace to MCP clients, enabling tools for reading/writing concepts, managing ideas and projects, running ideation operators, and more, with live sync and headless authentication.
    112
    AGPL 3.0
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    Integrates with Aha.io product management platform, enabling offline data synchronization, semantic search, and workflow automation via natural language.
    20
    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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    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.
    2
    MIT
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    MCP server for managing customer feature requests with role-based approvals, elicitation for high-impact changes, and support for notifications, sampling, and progress tracking. Enables employees to review, prioritize, and approve requests without direct database access.
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    Gives AI agents direct access to your Arcate product discovery workspace to read signals, browse roadmaps, and ingest new customer feedback. It enables users to search existing data and link signals to initiatives through natural language commands.