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    Enables LLM agents to interact with Yandex Tracker (and future Yandex services) using per-user credentials instead of a shared org-wide token, supporting both single-user and multi-user modes.
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    MIT
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    An MCP server that enables AI assistants to interact with Atlassian Jira and Confluence across Cloud and Server/Data Center environments. It supports tasks like searching and summarizing documentation, managing Jira issues, and creating content through natural language.
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    MIT
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    The infrastructure for AI teams: a self-hosted server that gives a fleet of agents shared semantic memory, tasks, direct messages, and session handoff. Any agent that speaks HTTP participates: Claude Code, AutoGen, raw API scripts, anything.
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    MIT
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    Enables AI assistants to interact with the Worksection project management platform to manage projects, tasks, comments, and members through natural language. It provides a comprehensive suite of tools for task execution and project oversight while automatically handling API rate limits.
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    MIT
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    Exposes a dependency graph of strategic sourcing artifacts and analyses as an MCP server, enabling navigation of phases, analyses, deliverables, and graph traversal for impact analysis and build order.
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    Apache 2.0
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    ClickUp MCP Pro exposes nearly every ClickUp operation as a typed Model Context Protocol tool — so Claude Code (and any MCP client) can drive your entire workspace: tasks, lists, folders, spaces, docs, chat, goals, sprints, time tracking, custom fields, webhooks, guests and more. When a niche endpoint isn't wrapped, clickup_raw reaches the rest of the API directly, giving you 100% coverage.
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    MIT
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    Give your AI the full context of how your business runs: CRM, finances, tasks, and memory in one self-hosted MCP server." Short + long descriptions lead with cross-domain reasoning ("which customers are behind on payment and what did we last promise them" reads the ledger and CRM in one answer) and self-hosted data ownership (your own Supabase, stdio, MIT).
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    MIT
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    Enables management of TestRail projects, test cases, runs, and results directly through MCP-supported clients. It provides a comprehensive set of tools to interact with the TestRail API for seamless test cycle management within AI environments.
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    MIT
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    An MCP server that provides the complete operations brain of an industrial-services company, enabling agents to manage quoting, booking, invoicing, safety, and finances end-to-end.
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    MIT