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"Setting Up AI Employee Tools on Docker Containers with MCP Servers" matching MCP servers:

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    Enables a local LLM to ask the user for guidance via a native desktop pop-up dialog, with configurable options and multiple-choice or free-text input.
    1
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    Enables querying employment rates by sector (agriculture, industry, services) for a given country and year using World Bank API.
    4
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    A Model Context Protocol server that provides tools for interacting with Docker images, containers, and registries, enabling AI assistants to search, analyze, and manage Docker resources through a standardized interface.
    1
    MIT
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    Enables interaction with Docker containers and images via tools and resources.
    1
    MIT
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    An MCP wrapper for Up Bank's API that allows Claude and other MCP-enabled clients to manage accounts, transactions, categories, tags, and webhooks from Up Bank.
    3
    MIT
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    Docker Helper MCP server that provides tools for automating Docker tasks such as generating Dockerfiles, parsing docker-compose files, and optimizing images.
    12
    MIT
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    An MCP server that provides tools to query and analyze an employee knowledge graph in Neo4j, including semantic resume search, person similarity, and read-only Cypher queries.
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    Provides an MCP server that tracks open loops (pending decisions or replies) across email, agent sessions, and other channels, enabling agents to query what is waiting on whom.
    14
    MIT
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    Enables AI assistants to manage Docker containers, deploy stacks, and monitor services across multiple Docker hosts from one centralized location. Supports container lifecycle management, Docker Compose operations, and infrastructure orchestration through natural language commands.
    6
    MIT
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    Provides Docker container creation and image pulling via the Docker Engine API, with safety guardrails against privileged operations and network exposure.
    MIT
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    Enables remote Docker management over SSH via a local MCP server, providing tools to manage containers, images, Compose, and system resources.
    1
    GPL 3.0
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    Enables LLMs to safely execute code in isolated Docker containers with resource limits and security controls, supporting session management and automatic dependency installation.
    MIT
  • A
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    quality
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    Enables AI agents to manage Docker containers through a secure MCP interface, supporting container lifecycle operations, log inspection, resource monitoring, and system diagnostics with role-based access control.
    2
    MIT