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    A minimal MCP server framework for single-owner production deployments using OAuth authorization code flow with PKCE, providing endpoints for MCP, authorization, token, and metadata.
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    Enables AI assistants to interact with security data pipelines and map data to the Open Cybersecurity Schema Framework (OCSF) through Tenzir. Provides seamless integration for processing and analyzing cybersecurity data using natural language.
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    Apache 2.0
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    Orchestrates multiple AWS security services to provide comprehensive security assessments, threat analysis, and multi-framework compliance monitoring. It enables users to perform automated remediation recommendations and incident investigations through a unified Model Context Protocol interface.
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    Apache 2.0
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    Universal governance layer for AI agents — MCP-native, fail-closed, LNN interpretability. Governed receipts, IPFS audit proofs, and rollback for any agent in any framework.
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    Apache 2.0
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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.
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    Apache 2.0
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    PolicyPulse connects your AI assistant directly to your Kubernetes policy engines. Instead of switching between three dashboards and two CLIs, you ask in plain English and get answers enriched with CIS Kubernetes, PCI-DSS, NIST 800-53, and SOC 2 framework references.
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    MIT
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    Unified MCP server integrating NIST and OWASP security frameworks with live vulnerability data, enabling security searches, compliance mapping, threat modeling, and checklist generation.
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    MIT
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    Governance framework for LLM agents. Exposes seven mechanically-enforced rules plus tools for preflight file protection, audit-chain verification, session handoff and worklog templates, MCP config auditing, and an emergency kill switch.
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    MIT
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    Provides crowdsourced package intelligence and security alerts for AI coding assistants by analyzing project dependencies and framework co-occurrence. It enables automated project scans, package alternative discovery, and data-driven recommendations across multiple programming ecosystems.
    Last updated
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    MIT
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    Provides real-time access to AWS security best practices, incident response playbooks, and preventive security measures from the official AWS Customer Playbook Framework repository. Enables users to query AWS security guidance for services like S3, IAM, EC2, and RDS through natural language.
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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.
    Last updated
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    BSD 3-Clause
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    Enables AI assistants to interact with Vanta's security compliance platform to retrieve test results, manage security findings, review controls, and access compliance framework requirements for SOC 2, ISO 27001, HIPAA, and other standards.
    Last updated
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    MIT
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    Catalyst puts a governance layer between AI agents and consequential actions. Before your agent writes files, sends messages, deploys code, or calls external APIs, it checks in with Catalyst. Depending on your policy, actions are allowed immediately, routed to a human for approval, or denied. Includes 8 pre-built compliance framework packs (GDPR, SOC 2, ISO 27001, HIPAA, PCI-DSS, EU AI Act, Briber
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    MIT
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    Description: Introduce Beelzebub, an MCP‑based honeypot framework that enables creating decoy tools to detect prompt injection and malicious agent behavior. Motivation: Strengthen the security of LLM workflows by adding a non‑intrusive detection mechanism.
    Last updated
    2,113
    GPL 3.0
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    MCP server that provides disassembly and reverse engineering capabilities via the Capstone framework, supporting multiple architectures.
    Last updated
    MIT