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    Zero-knowledge proof generation MCP server. AI agents can prove identity claims (Coinbase KYC, Country, Google OIDC, Google Workspace, Microsoft 365) without revealing personal data. Runs in AWS Nitro Enclave TEE with x402 USDC payments.
    8
    MIT
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    Secure MCP server with API-key authentication, bcrypt-hashed keys, and SQLite storage. It protects tools like user listing and secure greetings, requiring a valid environment-set key.
    2
    MIT
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    MCP server for AI agent identity — verify agents with Ed25519 signatures, check trust scores, sign and verify content, exchange encrypted messages. Built on the Agent Identity Protocol (AIP).
    8
    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.
    23
    36 PyPI
    6
    MIT
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    Enables detection of AI-generated content from ChatGPT, GPT-4, and Gemini models through the BACH AI Content Detector API.
    1
    MIT
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    A Node.js server implementing Model Context Protocol (MCP) that enables natural language interaction with Binalyze AIR's digital forensics and incident response capabilities.
    100
    52 npm
    7
    MIT
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    A Model Context Protocol (MCP) server that provides AI-powered security analysis and safety instruction tools. This server helps protect AI agents by providing security guidelines, content analysis, and cautionary instructions when interacting with various MCPs and external services.
    6
    14 npm
    21
    ISC
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    A security proxy for Neon's MCP server that allows AI agents to create and manage isolated test branches with a default-deny whitelist, provenance gating, and short-lived credentials, while air-gapping production data and master keys.
    MIT
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    Enables AI governance teams to evaluate waiver requests, approve policy exceptions, check expiry, issue receipts, and export audit logs for AI use cases and model risk.
    MIT