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"Understanding Attack Surface Management" matching MCP servers:

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    A local, read-only MCP server (plus CLI) over your own stock/ETF transaction log. A deterministic core computes drawdown-first risk with bootstrap confidence intervals and validates targets with walk-forward verdicts. The assistant narrates, but the number fence makes it structurally impossible for the model to produce a figure.
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    AGPL 3.0
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    Manage Job using MCP: Manage Job, Candidates, Resumes, Salaries all within this one MCP tools It can solve problems like: You have 50 resumes to screen. Your AI assistant can reason about candidates, but it can't: Read PDFs/DOCX — The AI can't open binary files Extract structured data — Copy-pasting loses formatting, metrics, and context Compare at scale — No consistent scoring across candida
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    MIT
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    Provides comprehensive access to the MITRE ATT\&CK knowledge base with 50+ tools for querying threat actors, malware, and techniques, including automatic ATT\&CK Navigator layer generation for threat analysis and visualization.
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    Enables AI-native access to the MITRE ATT\&CK framework, allowing LLMs and agents to query techniques, threat groups, software, and generate ATT\&CK Navigator layers for threat intelligence and security workflows.
    Last updated
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    Apache 2.0
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    An MCP server for Abnormal Security, enabling management of threat detection, email security cases, and AI-powered attack protection through Abnormal's API.
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    10
    Apache 2.0
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    Connects MCP-compatible AI clients to a MITRE Caldera adversary emulation platform, enabling natural language construction of attack scenarios, agent inspection, and operation management.
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    Apache 2.0
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    An MCP server for authorized bug bounty work that enforces an evidence-driven workflow with session management, preflight checks, surface discovery, and verified scanning.
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    12
    MIT
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    Superhuman data-driven science. Allows agents to upload any tabular dataset, specify a target column, and get validated predictive patterns (with p-values, effect sizes, and context from literature) that surface feature interactions and subgroup effects you'd otherwise miss. Many discoveries already made, free for open data!
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    MIT
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    Provides AI coding agents with five intelligence layers (dependency graph, git history, documentation, architectural decisions, code health) via nine MCP tools, enabling deep codebase understanding and reducing exploration cost.
    Last updated
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    AGPL 3.0
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    A small MCP server that gives agents rich context about a YouTube video — its transcript, jump-to-the-moment deep links, metadata, and most-replayed moments — so they can answer questions, summarize, pull quotes, or surface highlights.
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    7
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    MIT