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"Parrot Security" matching MCP servers:

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    Protects AI agents from threats like prompt injection, jailbreaks, and SQL injection through a multi-layer scanning pipeline. It also enables PII redaction and rehydration to ensure data privacy during LLM interactions.
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    Apache 2.0
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    A prompt-validation service that checks incoming prompts against security rules, blocking those matching high-severity security or jailbreak patterns while authorizing safe prompts.
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    MIT
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    An MCP server that connects AI agents to the CrowdStrike Falcon platform for intelligent security analysis and automation across various security modules. It provides programmatic access to detections, incidents, host management, and threat intelligence to enhance security operations within agentic workflows.
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    MIT
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    Integrates SOAR (Security Orchestration, Automation and Response) capabilities into AI clients, enabling security playbook execution, event management, and threat intelligence queries. Provides a complete security incident response platform through natural language interactions.
    Last updated
    MIT
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    Integrates Security Orchestration, Automation and Response (SOAR) platform capabilities into AI clients like Claude Desktop and Cherry Studio. Enables users to execute security playbooks, manage security events, and perform automated threat response through natural language interactions.
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    MIT
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    Provides AI coding agents with deterministic security requirements, approved patterns, and anti-patterns based on a project's threat model defined in security-context.yaml, enabling secure code generation without relying on LLMs for security advice.
    Last updated
    MIT
  • F
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    An AI-powered security agent that utilizes MCP tools and Groq LLMs to analyze Azure infrastructure, audit security groups, and identify storage misconfigurations. It enables users to perform natural language security assessments and ensure compliance with CIS Azure best practices.
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    Enables interaction with Arcanna's AI-powered security use cases, allowing users to manage jobs and integrations, query security events, provide feedback for model training, and generate/execute Python code for security automation.
    Last updated
  • A
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    MCP security server with 7 tools: command safety check, prompt injection detection (32+ rules, zh+en), PII/sensitive data scanning, file path protection, tool policy enforcement, response auditing, and security status. 8-layer defense, zero dependencies.
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    Apache 2.0
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    Enables AI agents to orchestrate security research workflows by connecting to containerized security tools via MCP, allowing automated vulnerability analysis and pipeline execution.
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    Enables security-focused LLM agents like GPT-4.1 and Claude 3 to interact with the urlDNA threat intelligence platform, providing tools for URL scanning, threat detection, and malicious content analysis.
    Last updated
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    Apache 2.0
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    MCP server wrapping Drozer for LLM-driven Android IPC security testing, enabling autonomous enumeration and exploitation of app components via natural language.
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    Apache 2.0