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    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.
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    Apache 2.0
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    A comprehensive MCP server providing advanced Redmine project analytics, web automation via Playwright, and iTunes music integration. It enables detailed tracking of sprint metrics, bug counts, and team performance through a token-optimized tool architecture.
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    Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.
    MIT
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    An MCP server that exposes a dbt project's run state as tools, enabling AI assistants to answer questions like 'is the warehouse healthy?' or 'what broke and why?' via plain English, using read-only access to dbt artifacts and warehouse data.
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    24/7 autonomous monitoring and edge detection for prediction markets (Kalshi & Polymarket). Features causal tree analysis, orderbook depth tracking, cross-venue comparison, and real-time alerts.
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    MIT
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    Connects Claude to SAP Cloud Platform Integration (CPI) to diagnose failed messages, review iFlows, deploy artifacts, and check credentials directly from your conversation.
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    MIT
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    Provides system monitoring tools for VPS including CPU, memory, disk, network ping, top processes, and Docker status, with read-only architecture and security features.
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    MIT
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    MCP server for Oracle Database enabling AI assistants to explore schemas, run queries, write data, and monitor sessions via natural language. Features read-only mode by default and uses Oracle Thin mode for zero-install connectivity.
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    MIT
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    Provides LLMs with network intelligence capabilities including PTR record lookups, ASN analysis, traceroute enrichment, and real-time network monitoring through The Aleph API.
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    MIT
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    Enables AI assistants to interact with and manage Kubernetes clusters, supporting operations on pods, deployments, services, configmaps, secrets, namespaces, metrics, and events with built-in safety features for destructive actions.
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    MIT
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    Provides advanced, programmable access to Zabbix monitoring data and management features, enabling querying, automation, and integration of Zabbix resources.
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    MIT
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    AI-powered MCP server for TrueNAS SCALE storage operations with governance and safety features, enabling management of pools, datasets, snapshots, disks, alerts, and services.
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    MIT
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    Enables language models to access LangSmith observability platform features including fetching conversation history, managing prompts, retrieving traces and runs, working with datasets and examples, and analyzing experiments.
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    MIT