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    Cloud security audit tools for AI agents that provide direct access to cloud APIs to read, correlate, and fix misconfigurations across AWS, Azure, and GCP.
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    MIT
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    A secure MCP server example that demonstrates how to deploy to Google Cloud Run with authentication and identity token protection. Serves as a tutorial template for building production-ready MCP servers in the cloud.
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    A Model Context Protocol (MCP) server for interacting with Joe Sandbox Cloud. This server exposes rich analysis and IOC extraction capabilities from Joe Sandbox and integrates cleanly into any MCP-compatible application (e.g. Claude Desktop, Glama, or custom LLM agents).
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    MIT
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    Sigma detection rule writing, validation, and pySigma-based multi-backend conversion (Splunk, Elastic, Wazuh, Kibana) via 3 MCP tools and 3 Claude Code skills, backed by a 61-rule production corpus across 11 MITRE ATT\&CK tactic categories.
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    MIT
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    Open-source AWS security scanner with Attack Chains, Breach Cost Estimation, and MCP Server. 47 checks across 15 AWS services. Every finding includes copy-paste remediation (CLI + Terraform) and a dollar-risk estimate with verified source. First free standalone AWS security MCP server - Prowler and Wiz require paid SaaS.
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    MIT
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    A local memory layer for AI coding tools that stores user preferences, lessons, and project context as local files, exposed via MCP so different AI tools can share the same understanding of you.
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    AGPL 3.0
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    Local AES-256-GCM encrypted vault for AI agents. Resolve {{PLACEHOLDER}} secrets in prompts at runtime — LLMs never see real API keys. Argon2id key derivation, zero cloud.
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    MIT
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    A legacy MCP server for Avanan cloud email security, providing tools to manage threat detection, email policies, and security incidents through Avanan's API.
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    Apache 2.0
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    A comprehensive security testing MCP server providing 51 tools for penetration testing, network forensics, memory analysis, and vulnerability assessment. It enables automated security audits and technical investigations across web applications, cloud environments, and network captures.
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    MIT
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    Enables AI assistants to interact with PingOne Advanced Identity Cloud environments through natural language, supporting user management, authentication theme customization, log analysis, and identity data queries with secure OAuth 2.0 authentication.
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    Apache 2.0
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    Provides instant access to authoritative security documentation from organizations like OWASP, NIST, and major cloud providers through natural language semantic search. It enables users to retrieve security best practices, frameworks, and vulnerability information directly from a locally cached knowledge base.
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    MIT
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    Enables AI assistants to access Google's Threat Intelligence suite for file analysis, indicator of compromise searches, and reputation checking. It supports both local and cloud-based deployments for investigating campaigns, threat actors, and malware families.
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    Provides AI assistants with unified access to on-prem Active Directory via LDAP and Azure AD / Entra ID through the Microsoft Graph API. It enables comprehensive management and search of users, groups, computers, and cloud devices using 18 specialized tools.
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