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    Enables interaction with z/OS mainframe systems via FTP, including dataset listing/download/upload, JCL job submission and monitoring, with advanced text processing and pagination support.
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    MIT
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    Enables workflow management and Docker image building for Bio-OS platform. Supports WDL workflow submission, validation, and monitoring, along with Docker image building and status tracking for bioinformatics workflows.
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    MIT
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    Exposes Dooor OS workspace capabilities to MCP-compatible AI clients, enabling natural language querying of data sources, app and deployment inspection, agent and database management, and governance trace reading.
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    Exposes the Wardrowbe wardrobe API as MCP tools, enabling outfit suggestions, item management, wear/wash logging, and analytics via natural language.
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    Enables interaction with Cisco NX-OS devices by executing CLI commands via the NX-API interface. It supports concurrent multi-device operations, batch command execution, and provides responses in both text and structured JSON formats.
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    Persistent long-term memory for AI coding assistants. Local SQLite, no cloud - 16 MCP tools to store, search, relate, and consolidate typed memories with a confidence lifecycle, hybrid BM25 + semantic search, namespaces, a knowledge graph, and a built-in OS keychain credential vault.
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    MIT
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    A quantum-inspired secret manager that anchors API keys to your OS-native vault, preventing plaintext .env leaks. It empowers AI agents with advanced mechanics like multi-environment superposition, linked entanglements, and ephemeral in-memory tunneling.
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    AGPL 3.0
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    Universal AI Agent OS — governed skills, rules, and commands for AI coding assistants (Claude Code, Augment, Cursor, Copilot, Windsurf). Read-only MCP bridge serves prompts and resources from a release-pinned content bundle.
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    MIT
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    A production-ready MCP server that wraps Nmap to enable AI agents to perform automated network security assessments, including port scanning, host discovery, service detection, OS fingerprinting, and vulnerability scanning.
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    Apache 2.0
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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