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    MCP server for querying OpenAI usage and cost data, including spend summaries, daily breakdowns, month-over-month comparisons, and token usage by model.
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    MIT
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    Optimizes token costs by intelligently delegating low-complexity tasks to local LLMs via LiteLLM, enabling cost-effective development workflows.
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    MIT
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    Enables MCP clients to scan local GGUF models, estimate VRAM and suggest GPU offload layers, manage llama-server lifecycle, and proxy OpenAI-format chats with idle auto-unload.
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    MIT
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    A production-grade MCP server for the Amazon Selling Partner API that provides a complete registry of 353 operations across 49 API domains, enabling discovery, description, and invocation of SP-API operations with version awareness and safety controls.
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    Apache 2.0
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    An MCP server that enables users to search for recipes and cooking instructions via the API Ninjas Recipe API. It supports querying specific dishes and provides paginated results for recipe discovery.
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    MIT
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    Manage and monitor Hadoop clusters via Apache Ambari API, enabling service operations, configuration changes, status checks, and request tracking through a unified MCP interface for simplified administration. * Guide: https://call518.medium.com/llm-based-ambari-control-via-mcp-8668a2b5ffb9
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    MIT
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    Monitor and manage Apache Airflow clusters through natural language queries via MCP tools: DAG inspection, task monitoring, health checks, and cluster analytics without API complexity. * Guide: https://call518.medium.com/mcp-airflow-api-a-model-context-protocol-mcp-server-for-apache-airflow-5dfdfb2
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    MIT
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    Enables AI assistants to perform automated security audits on APIs, detecting BOLA/IDOR vulnerabilities by comparing responses across user tokens.
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    MIT