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"AI Model CLI Tools and Orchestration Configuration" matching MCP servers:

  • A
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    C
    maintenance
    Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.
    1
    GPL 3.0
  • F
    license
    A
    quality
    D
    maintenance
    A deterministic proxy for Keboola CLI operations with automatic git-to-Keboola branch mapping, enabling branch management, CLI command execution, and optional proxy to remote Keboola MCP tools with automatic branch injection.
    6
  • A
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    quality
    A
    maintenance
    Enables AI assistants to manage and query Tiger Cloud database services, including service lifecycle operations, database connections, and SQL execution.
    116
    Apache 2.0
  • A
    license
    Not graded
    quality
    D
    maintenance
    MCP server for connecting to Microsoft Fabric and Power BI semantic models, enabling workspace browsing, dataset management, TMSL retrieval, DAX queries, model creation/editing, and includes a Best Practice Analyzer with 71 rules.
    2
    MIT
  • A
    license
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    quality
    D
    maintenance
    Enables AI assistants to manage Coolify infrastructure including servers, applications, databases, deployments, and 80+ one-click services through 98 comprehensive tools for both cloud and self-hosted instances.
    MIT
  • F
    license
    Not graded
    quality
    B
    maintenance
    Enables MCP clients to execute Python code on Google Colab GPU/TPU runtimes via the official Colab CLI, with session, file, and package management capabilities.
  • -
    license
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    quality
    Not graded
    maintenance
    An MCP server that wraps the Azure CLI. As LLMs are very good at generating Azure CLI commands, this server allows your LLM to list resources, update/create/delete them, fix errors (by looking at the logs), fix security issues...
    81
  • A
    license
    B
    quality
    D
    maintenance
    An MCP server for managing and monitoring Docker, Docker Compose, and Kubernetes environments alongside Azure Application Insights. It enables advanced log filtering, container lifecycle management, and querying of cloud application traces and metrics.
    7
    MIT
  • A
    license
    C
    quality
    D
    maintenance
    Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.
    40
    1
    Apache 2.0
  • A
    license
    Not graded
    quality
    C
    maintenance
    A governed MCP server enabling LLM agents to query BigQuery, inspect GCS, trigger Airflow DAGs, and run data-quality checks with built-in security guardrails like allow-lists, cost ceilings, and audit trails.
    1
    MIT