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    Enables AI applications to interact with Amazon Advertising API through the Model Context Protocol. Supports campaign management, performance reporting, audience targeting, and comprehensive advertising operations across Amazon's advertising ecosystem.
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    MIT
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    VibOps MCP is the control plane between your AI agents and your GPU infrastructure. 74 tools covering: GPU fleet management (deploy, scale, monitor across NVIDIA, AMD, Intel, AWS, Google, Groq), Agent Infrastructure Control Plane (per-agent GPU cost, budget enforcement, model policies, dependency graph), governance (AI Act, SOC 2, immutable HMAC audit chain), and GPU FinOps (chargeback, waste..)..
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    An MCP server for controlling Fivetran data pipelines. Enables AI assistants to manage syncs, monitor connection status, and control pipelines through natural language.
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    Provides AI assistants with access to Cohesity DataProtect for managing backups, recovery operations, and data protection monitoring via the Cohesity REST API. It enables users to trigger on-demand backups, monitor cluster health, and manage protection policies through natural language commands.
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    Sleepycat
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    Enables Claude to interact with Karma Alert dashboard to monitor and analyze Kubernetes alerts. Provides tools to check alert status, filter by cluster/severity, get detailed alert information, and analyze alert statistics and trends.
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    Enables AI agents to manage Databricks Lakeflow jobs by building and uploading Python wheels and triggering runs with specific arguments. It provides a structured way to orchestrate complex data experiments and monitor execution directly on Databricks clusters.
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    Monitors AWS infrastructure including EC2, RDS, S3, SQS, CloudWatch, and more through 19 tools, enabling natural language queries for infrastructure status.
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    Enables querying Azure Application Insights logs by order number through natural language. Provides secure access to Azure Monitor logs with comprehensive error handling and rate limiting.
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