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    A Model Context Protocol (MCP) server for interacting with Atlassian Jira. Connect AI assistants like Claude, Cursor AI, and others directly to your Jira projects, issues, and workflows.
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    A Model Context Protocol server that integrates JIRA directly into Cursor IDE, allowing users to view assigned issues, get detailed information on specific tickets, and convert JIRA issues into local tasks without leaving their editor.
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    TypeScript
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    A Model Context Protocol server that enables AI assistants like Claude to interact with Jira, allowing for project management tasks such as listing projects, searching issues, creating tickets, and managing sprints through natural language queries.
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    Official MCP server for Shipmail, enabling agents to manage domains, mailboxes, messages, threads, webhooks, and suppressions via natural language.
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    MIT
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    Remote MCP server for auditing app surfaces in AI agent ecosystems, checking recommendation status, and creating distribution plans.
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    MIT
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    coldstart gives coding agents durable memory of a specific codebase, with no embeddings, no vector store, and no API key. Agents write notes after real tasks — what a file is for, how a flow spans files, which invariants hold — and those notes are surfaced automatically to a later session whose task matches, so nothing gets rediscovered from scratch. Every note is anchored to real files by content
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    MIT
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    More than just an MCP server that covers the entire range of Docker management tasks, it helps you create workflows to easily manage your Docker environments at scale. It allows you manage multiple local or remote (TCP, TLS, SSH) docker instances and exposes things like logs and stats as resources so that you can monitor and triage all of them.
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    MCP server + Claude Code plugin for ComfyUI: execute workflows, generate images, visualize pipelines as Mermaid diagrams, compose/validate workflows, manage and download models, control VRAM, and explore custom nodes. 36 tools, cross-platform, installs via npx -y comfyui-mcp.
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    Enables media buyers to manage affset campaigns, zones, stats, payouts, targeting, and team via natural language, pulling stats and cutting underperforming zones without the dashboard.
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    MIT