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"BSD" matching MCP servers:

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    Enables AI assistants to run, manage, and debug BSD/Illumos VMs through natural language. Supports creating FreeBSD, OpenBSD, NetBSD, and OmniOS VMs, executing commands inside them, accessing console logs, and managing snapshots.
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    MIT
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    A web-fetch MCP server for LLM agents that fetches pages with an escalation ladder through different engines, raising FetchBlocked instead of returning blocked content.
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    Apache 2.0
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    Enables secure file system operations (read, write, delete) and simulated command execution with server-enforced permission policies, risk assessment, and human-in-the-loop approval.
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    Enhances developer tasks by retrieving relevant context from project documentation via a backend API. It enables users to generate enriched task descriptions and prompts by automatically integrating specific technical details from their project documents.
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    MIT
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    Enables AI assistants to programmatically interact with Google NotebookLM, allowing them to create and manage notebooks, add sources, query content, generate audio/video, and perform research tasks through natural language commands.
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    5,660
    MIT
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    MCP-compatible server that gives AI agents access to alternative sports data across 30+ leagues — odds, events, probabilities, settlement, and futures for prediction markets, DFS platforms, and sportsbooks.
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    MIT
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    The server connects the Claude AI to the internet through the capabilites of the LSD SQL language, turning web data into a queryable database-like structure to interact with real-world data efficiently.
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    Enables enterprise-grade OneTick tick data analytics with 18 tools for market data retrieval, metadata discovery, and analytics computations across 200+ global exchanges.
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    MIT
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    A high-performance MCP server providing long-term memory storage with semantic and keyword search, along with a structured agenda engine for task management.
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    GPL 3.0
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    An MCP server for 1C:Enterprise that provides AI assistants with access to configuration data via vector search, structural indexing, and call graphs. It enables semantic code queries and rapid metadata object lookups without requiring the direct reading of raw files.
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    AGPL 3.0
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    Enables searching Korean procurement notices from the public data portal, with support for integrated search across categories, flexible date ranges, and attachment extraction.
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    MIT