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Security

Identity and security management tools. Enables authentication, data protection, and system monitoring.

MCP ServersBrowse all →

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    AI agent provenance, trust, and auditability layer. VERITAS multi-gate scoring, Cortex approval gates, S.E.A.L. hash-chain audit ledger, and semantic RAG with cryptographic provenance tracking for every decision an agent makes.
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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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    MCP server for https://oathe.ai security audits. Runtime behavioral analysis and security scanner for Ai systems. Check trust scores before installing MCP servers, plugins, or AI agent skills.
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    MIT
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    Security-enforcing MCP proxy that sits between an AI agent and any number of downstream MCP servers, intercepting every tool call through a capability-token policy gateway that can allow, deny, or escalate to human approval before the call reaches any real tool. It also exposes built-in operator tools for approval workflows, audit trail queries, token management, voice/HUD output, and hierarchical
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    An MCP server that provides a comprehensive interface to Semgrep, enabling users to scan code for security vulnerabilities, create custom rules, and analyze scan results through the Model Context Protocol.
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    MIT
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    A quantum-inspired secret manager that anchors API keys to your OS-native vault, preventing plaintext .env leaks. It empowers AI agents with advanced mechanics like multi-environment superposition, linked entanglements, and ephemeral in-memory tunneling.
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    AGPL 3.0
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    MCP server that enables Claude Code to drive the Konsulto cybersecurity audit platform from the CLI, including reading and writing findings, managing evidence, and handling scope and assets.
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    MIT
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    Security scanner and trust verification for AI agent tools. Scans GitHub repositories for vulnerabilities and returns signed trust attestations (Ed25519/JWS) with trust-tiered rate limiting recommendations.
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    MIT
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    Enables AI assistants to execute malware analysis tools on a REMnux system via Docker, SSH, or local connections. It provides automated file-type analysis, structured tool discovery, and security guardrails for streamlined malware investigation.
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    GPL 3.0
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    An MCP server that exposes tools for issuing scoped agent credentials, delegating narrower child credentials, handling approvals, revoking task trees, and retrieving audit trails and evidence packets.
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    Apache 2.0
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    Security intelligence for AI agents — breach detection, SIM swap, domain lookalikes, OAuth watchlist, and malware scanning. Subscription or x402 PAYG.
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    MIT
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    Blocks dangerous operations: rm -rf, sensitive file access, privilege escalation, and more are denied before execution. Gates risky commands behind human approval (optional): configurable commands require explicit operator sign-off via a web GUI before the agent can proceed. Simulates blast radius: wildcard operations like rm \*.tmp are evaluated against real files before running, and blocked if th
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    MIT
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    Provides access to ODEI's constitutional knowledge graph, AI safety guardrails, and EVM smart contract auditing tools. It enables users to query structured domain nodes, validate agent actions, and perform security audits directly through an MCP client.
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    Server security auditing (413 checks, 29 categories), production hardening, and fleet management. Supports Hetzner, DigitalOcean, Vultr, and Linode.
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    qURL is the portal to the invisible internet -- expiring, scope-limited URLs that let AI agents reach services no one else can see.
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    MIT
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    Email-deliverability tools for AI agents — 12 MCP tools across email verification, DNSBL across 50 zones, SPF/DKIM/DMARC analysis, spam-trap scoring, domain intelligence, and email finder. Free tier with no credit card.
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    MIT
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    Converts natural language security requirements into validated Cerbos YAML policies with automated testing and red-team analysis, enabling AI governance with zero-trust guardrails for tool calls, data access, and compliance frameworks.
    Last updated
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    Apache 2.0

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