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"Exploring RAG through defined workspaces" matching MCP servers:

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    An all-in-one MCP server for local LLMs that provides live web access, math, shell/code execution, filesystem access, memory, and RAG over local files using LM Studio embeddings.
    39
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    Terminal multiplexer MCP server for orchestrating parallel AI agents. Manages workspaces, panes, surfaces with send_input/read_screen/spawn_agent/stop_agent tools. Supports Claude Code, Codex, Gemini, Cursor CLI agents with lifecycle management, browser automation, and agent status push via Claude --channels.
    20
    24
    Apache 2.0
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    Enables AI assistants to execute shell commands and manage long-running processes within persistent tmux sessions across isolated workspaces. It features a dual-window architecture to separate raw command execution from interactive terminal output.
    8
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    1
    MIT
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    MCP server to control Onda terminal from AI agents, providing tools for splitting panes, running commands, managing tabs and workspaces, and orchestrating multi-agent workflows across multiple windows.
    39
    12
    MIT
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    Enables AI agents to manage and interact with Kasm Workspaces containerized desktop infrastructure, providing tools for session management, command execution, file operations, and user management via the Model Context Protocol.
    4
    MIT
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    Enables secure SSH-based operations on Oracle Linux 8+ hosts through a curated, YAML-defined capability catalog, with typed parameters, two-phase confirmations for mutations, and full audit logging.
    Apache 2.0
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    Exposes VS Code terminals as MCP tools, allowing AI agents to create, execute commands, read output, list, and kill terminals across multiple workspaces.
    MIT
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    A powerful tool for exploring, searching, and managing your shell command history through the MCP (Model Control Protocol) interface. This project allows you to easily access, search, and retrieve your previously executed shell commands.
    2
    MIT
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    Turns local project directories into persistent MCP workspaces, allowing AI agents to read files, modify code, run commands, manage Git, and save session progress across conversations.
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    A comprehensive production-ready MCP server with AI integration, plugin management, and web-based administration. Features multi-database support, RAG capabilities, SSH/SFTP access, and a built-in plugin hub for managing the MCP ecosystem.
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    Provides a secure, sandboxed interface for LLM agents to interact with HPC clusters via bubblewrap isolation, managing workspaces and executing commands locally or through Slurm.
    1
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    Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.
    16
    22
    MIT
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    Enables interaction with MariaDB databases through secure read-only operations. Supports database exploration, schema inspection, and SQL query execution with comprehensive logging and connection pooling.
    5
    2
    MIT
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    Enables managing Google Cloud Platform resources through natural language commands in Claude Desktop, supporting comprehensive operations across compute, storage, databases, networking, monitoring, and IAM without manual credential setup.
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    20
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    Enables AI assistants to manage MySQL databases through natural language commands. Supports database operations, table management, data queries, and import/export functionality with built-in security features.
    15
    29
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    MIT
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    Enables LLM clients to execute shell commands safely through the MCP protocol, with features like session management, safe mode, and process control.
    1
    Apache 2.0