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"Kotlin RAG (Retrieval-Augmented Generation) implementation resources" matching MCP servers:

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    A production-ready MCP server that enables AI assistants to execute shell commands, manage files, monitor system resources, and automate complex workflows with advanced features like stock tracking and web automation.
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    MIT
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    A developer toolkit MCP server offering seven utilities: HTTP requests, JWT decoding, hashing, UUID generation, regex testing, cron explanation, and text encoding.
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    MIT
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    An agent-native shell as an MCP server, designed for LLM agents (like Claude Code) to execute commands with structured output, lazy detail retrieval, and effect tracking, minimizing token usage.
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    MIT
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    A production-grade TypeScript starter for building Model Context Protocol servers, supporting stdio and Streamable HTTP transports with modular tools, resources, and prompts.
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    MIT
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    MCP server for Micro-Cap 12 SPICE simulator enabling LLM agents to run analog circuit simulations, including analyses, sweeps, and retrieval of curve data and plots.
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    MIT
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    A Model Context Protocol server implementation that enables secure remote command execution via SSH, with features for managing and using SSH credentials.
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    MIT
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    Allows Claude and other AI assistants to interact with Docker through the MCP protocol, enabling container and image management including listing, running, stopping, and pulling Docker resources.
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    MIT
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    An MCP server that exposes RS232 serial port connectivity, enabling listing, opening, reading, and writing to serial ports via tools and resources.
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    MIT
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    Enables secure SSH access to servers through a gateway with Kerberos authentication, allowing execution of whitelisted commands with pattern-based security controls and server information retrieval.
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    Provides deterministic system information and developer utilities including date/time operations, OS details, math calculations, random data generation, hashing, text formatting, data validation, encoding/decoding, and log analysis.
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    MIT
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    A comprehensive MCP implementation designed for fullstack development that enables code manipulation, terminal command execution, and system notifications. It provides an intelligent agent interface powered by Gemini to automate Python and Next.js development workflows.
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    Enables remote control and automation of Android devices through the Model Context Protocol, supporting UI interactions, app management, ADB commands, screenshots, and device information retrieval via AutoBot API.
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    Provides typed, paginated tools for evidence-driven Linux performance analysis including profile analysis, comparison, and report generation with server-side authorization.
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    Apache 2.0
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    Enables natural language-driven ANSYS simulations (Fluent, Mechanical, Geometry) with automatic TUI script generation for reproducibility.
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    MIT
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    Enables intelligent interaction with Azure resources through natural language by translating requests into safe, auditable Azure CLI commands with plan/review workflows and direct access to 8 Azure services including Storage, Cosmos DB, Key Vault, and more.
    3
    1
    MIT