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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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    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.
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    MIT
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    Provides tools for accessing Alibaba Cloud observability products including SLS (Log Service) and ARMS (Application Real-time Monitoring Service), allowing any MCP-compatible AI assistants to quickly interact with these services.
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    Integrates Claude with Salesforce for natural language interactions with Salesforce data and metadata, enabling querying, modifying, and managing objects and records.
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    MIT
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    Enables AI assistants to interact with Fastly's CDN API through the Model Context Protocol, allowing secure management of CDN services, caching, security settings, and performance monitoring without exposing API keys.
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    MIT
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    Official MCP server for kintone, enabling AI assistants to manage kintone apps, records, and settings through natural language.
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    Apache 2.0
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    Enables AI agents to discover, evaluate, and provision cloud infrastructure across AWS, GCP, and Azure with cross-cloud normalization, cost comparisons, and deployable execution kits.
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    MIT
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    Kubernetes cluster cost analysis and optimization. Query costs, find savings opportunities, get rightsizing recommendations, and analyze pod spend across AKS, EKS, and GKE — directly from Claude
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    Apache 2.0
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    Deploy and manage Bult.ai cloud hosting projects from MCP clients like Cursor, Claude Desktop, and Claude Code. Create projects and services, deploy GitHub repositories or Docker images, manage routes and volumes, inspect logs, and troubleshoot deployments from your AI assistant.
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    MIT
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    Production-ready MCP server for Tailscale management with 48 tools across 9 domains: Devices, DNS/Split DNS, ACL policies, Auth Keys, Users, Webhooks, Posture Integrations, Tailnet Settings, and Diagnostics. Supports stdio and SSE transport with Bearer token authentication. Built with TypeScript strict mode, Zod validation, and zero shell execution. AGPL-3.0 + Commercial dual-licensed.
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    AGPL 3.0
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    A Model Context Protocol server that allows AI models to access, analyze, and manage Meta advertising campaigns, enabling LLMs to retrieve performance data, visualize ad creatives, and provide strategic insights for Facebook and Instagram platforms.
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    Business Source 1.1