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    Orchestrates multiple AWS security services to provide comprehensive security assessments, threat analysis, and multi-framework compliance monitoring. It enables users to perform automated remediation recommendations and incident investigations through a unified Model Context Protocol interface.
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    Apache 2.0
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    Model Context Protocol server for the Apideck Unified API. Connect any MCP-compatible agent framework to 100+ accounting systems, HRIS platforms, file storage providers, and more through one integration. More information https://www.apideck.com/mcp-server
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    MIT
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    An MCP server that enables automated analysis and conversion of SSIS packages into Azure Data Factory JSON artifacts directly through GitHub Copilot. It streamlines ETL modernization by detecting complex patterns, translating script tasks, and generating production-ready pipelines following Microsoft best practices.
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    MIT
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    Provides tools for AI assistants to manage and diagnose MWAA Airflow environments, EMR Serverless jobs, S3 files, and Confluence documentation. It features automated pipeline failure diagnosis and comprehensive log retrieval across these integrated platforms.
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    A Model Context Protocol server that enables Claude Desktop and other MCP clients to interact with TrueNAS Core systems through the TrueNAS API, supporting user management, storage operations, sharing, and snapshot creation.
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    MIT
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    A Model Context Protocol server that provides enhanced real-time search capabilities by integrating with Alibaba Cloud IQS APIs to deliver clean, accurate results from multiple data sources.
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    ISC
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    Enables LLMs like Claude to interact directly with Oracle Cloud Infrastructure resources, supporting dynamic profile switching between tenancies and comprehensive management of compute instances, database systems, and OCI resources through natural language.
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    Model Context Protocol (MCP) is a new, standardized protocol for managing context between large language models (LLMs) and external systems. In this repository, we provide an installer as well as an MCP Server for Upstash Developer API's.
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    MIT
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    A comprehensive, AI-powered performance analysis and monitoring platform for OpenShift/Kubernetes clusters. This project provides Model Context Protocol (MCP) servers for analyzing etcd, network, and OVN-Kubernetes components with deep performance insights, automated root cause analysis, and actionable recommendations.
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    Apache 2.0