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"Understanding Attack Surface Management" matching MCP servers:

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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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    Apache 2.0
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    MCP server for Proofpoint Email Protection - email security, threat intelligence, TAP (Targeted Attack Protection), and email filtering API integration
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    Apache 2.0
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    Remoet turns job search into a curated agent workflow. Connect Claude, Cursor, or any MCP client, search companies by real tech stack data (not recruiter keywords), star the ones that fit, and let your agent surface fresh jobs from your shortlist. Profile, applications, digests all over MCP.
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    48
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    MIT
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    A Model Context Protocol server that provides Claude with access to IT Glue documentation, passwords, configurations, and asset management.
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    Apache 2.0
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    An MCP server for Action1, a cloud-native RMM platform, enabling remote monitoring, patch management, and endpoint management through Action1's API.
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    Apache 2.0
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    Enables AI agents to become geospatially intelligent assistants with tools for location search, smart routing, round trip planning, reverse geocoding, isochrone analysis, route visualization, geofence management, and interactive map display.
    Last updated
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    Apache 2.0
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    Enables comprehensive Windows system management through Claude Desktop, including PowerShell/CMD execution, file operations, archive handling, Git tools, network testing, and system monitoring. Provides a complete toolkit for Windows automation and administration tasks.
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    MIT
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    This MCP server provides comprehensive Google Workspace integration (Gmail, Drive, etc.) with multi-user OAuth. Unique features include RAG-powered natural language to Chat card rendering, runtime Jinja2 macro creation, and dynamic tool management.
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    96
    23
    Apache 2.0
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    An MCP server that provides a toolbox for interacting with EPA SWMM stormwater models, enabling users to analyze model data and interpret results through LLM-driven tools. It assists stormwater modelers in understanding hydraulic systems and modeling behavior using natural language interfaces.
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    18
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    MIT