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"author:swesmith-repos" matching MCP servers:

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    An MCP server that bridges the physical world and AI models by enabling natural language control of IoT hardware via the MQTT protocol. It supports real-time device monitoring, command publishing, and response handling for seamless integration between AI clients and physical devices.
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    Enables AI-powered analysis, management, and optimization of Meta advertising campaigns across Facebook and Instagram, including performance insights, budget optimization, and creative testing.
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    Enables Claude to interact with ServiceNow instances for incident management, service catalog operations, change requests, knowledge base management, user administration, and agile project workflows through various authentication methods.
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    An MCP server that wraps the Apache Airflow REST API, enabling clients to manage DAGs, monitor task instances, and handle workflows through a standardized interface. It provides comprehensive access to Airflow features including DAG runs, variables, connections, and XComs.
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    An MCP server that enables Large Language Models to interactively create, edit, and solve constraint models using backends like MiniZinc, Z3, PySAT, and Clingo. It bridges natural language with symbolic reasoning for solving complex logical, SAT, SMT, and optimization problems.
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    Enables interaction with Azure AI Foundry services for model exploration, deployment, and performance evaluation. It provides tools for managing knowledge bases via AI Search Service, executing fine-tuning jobs, and orchestrating AI agents through natural language.