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    A Model Context Protocol (MCP) server for interacting with the Intigriti bug bounty platform's Researcher API. It enables AI assistants to manage bug bounty programs, submissions, and research workflow.
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    MIT
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    A demonstration server that reveals security risks by accessing sensitive environment variables, illustrating how MCP tools can potentially leak user data without explicit consent.
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    MIT
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    An MCP server that sends plain-text Gmail messages only to a predefined allowlist, using generated recipient IDs instead of email addresses to enforce security.
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    Exposes Burp Suite's REST API to AI assistants, enabling users to trigger vulnerability scans, monitor progress, and manage security tasks through natural language. It also provides programmatic access to Burp's security knowledge base for querying vulnerability definitions and remediation advice.
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    Enables AI assistants to interact with Qualys security data via 7 workflow tools for vulnerability management, cloud security, containers, compliance, and remediation.
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    MIT
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    ai-runtime-guard is an MCP server that sits between your AI agent and your system, enforcing a policy layer before any file or shell action takes effect. No retraining, no prompt engineering, no changes to your agent or workflow, just install, configure once, and your agent operates within the boundaries you set.
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    MIT
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    An MCP server that integrates SAST, DAST, and SCA security tools to enable AI-driven vulnerability scanning and automated security reporting. It allows AI assistants to execute and analyze results from tools like Semgrep, OWASP ZAP, and Trivy within a DevSecOps workflow.
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    MIT
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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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    MIT
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    Connects AI assistants to the Vectra AI security platform to enable intelligent analysis of threat detection data and automated incident response workflows. It allows users to investigate threats, take response actions, and generate security reports using natural language.
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    MIT
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    Connects AI clients to Tenable OT Security, exposing OT/ICS asset inventory, vulnerabilities, events, policies, and findings as read tools, with an opt-in dry-run write layer for asset edits and policy management.
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    Apache 2.0
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    Enables detection of AI-generated content from ChatGPT, GPT-4, and Gemini models through the BACH AI Content Detector API.
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    An automated penetration testing framework that enables intelligent security assessments through reconnaissance, vulnerability scanning, and controlled exploitation. Features AI-driven workflow management with comprehensive reporting for authorized security testing.
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    BSD 3-Clause