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"EJS" matching MCP servers:

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    Enables AI assistants to debug JavaScript and TypeScript applications by connecting to Chrome DevTools Protocol-compatible debuggers, allowing them to set breakpoints, step through code, inspect variables, and evaluate expressions with full source map support.
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    Apache 2.0
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    An MCP server that connects to Z-Wave JS UI's WebSocket to expose controller, node, and configuration information as tools for AI assistants to manage Z-Wave networks.
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    MIT
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    An MCP server for the Spanish BOE open-data API that retrieves metadata, structure, and full consolidated text of Spanish legislation using BOE IDs or dates, providing verifiable ELI identifiers and citations.
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    Apache 2.0
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    Provides LLM access to the Event Monitoring System (EMS) API for comprehensive flight data analytics and monitoring. It enables users to query flight records, retrieve time-series analytics, and explore aircraft assets or database hierarchies.
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    MIT
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    Enables LLM agents to search and analyze Elasticsearch logs for errors, detect recurring patterns, analyze error-rate trends, and retrieve full trace context through MCP tools.
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    MIT
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    Provides tools to query and calculate AWS EBS performance metrics from CloudWatch, including IOPS, throughput, and latency. It also enables users to manage snapshots and retrieve advanced diagnostic data like I/O utilization and burst balance.
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    A local MCP server for querying Chinese scientific literature from the CSL dataset, enabling paper search, detail retrieval, and dataset statistics via MCP clients.
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    Enables querying genomics data from the Alliance of Genome Resources across model organisms including human, mouse, rat, zebrafish, fly, worm, yeast, and xenopus. Supports gene searches, disease associations, expression data, orthologs, phenotypes, and molecular interactions through natural language.
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    MIT
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    A Model Context Protocol server that enables AI assistants to interact with MongoDB Atlas resources through natural language, supporting database operations and Atlas management functions.
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    Apache 2.0
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    Enables AI agents to access design system tokens and component contracts through MCP, reducing token usage and ensuring consistency.
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    MIT
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    Enables querying Amazon EKS cluster metrics from the Kubernetes API server, with filtering by metric name and labels, supporting both exact and regex patterns.
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    MIT
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    A FastMCP-based server that exposes the Jelly API as MCP tools, enabling management of conversations, labels, contacts, drafts, and more through natural language.
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    MIT