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Fix entry formatting
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@@ -2418,7 +2418,7 @@ Tools for conducting research, surveys, interviews, and data collection.
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- [cyntrisec/cyntrisec-cli](https://github.com/cyntrisec/cyntrisec-cli) 🐍 🏠 - Local-first AWS security analyzer that discovers attack paths and generates remediations using graph theory.
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- [cyntrisec/cyntrisec-cli](https://github.com/cyntrisec/cyntrisec-cli) 🐍 🏠 - Local-first AWS security analyzer that discovers attack paths and generates remediations using graph theory.
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- [dkvdm/onepassword-mcp-server](https://github.com/dkvdm/onepassword-mcp-server) - An MCP server that enables secure credential retrieval from 1Password to be used by Agentic AI.
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- [dkvdm/onepassword-mcp-server](https://github.com/dkvdm/onepassword-mcp-server) - An MCP server that enables secure credential retrieval from 1Password to be used by Agentic AI.
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- [duriantaco/skylos](https://github.com/duriantaco/skylos) [](https://glama.ai/mcp/servers/@duriantaco/mcp-skylos) 🐍 🏠 🍎 🪟 🐧 - Dead code detection, security scanning, and code quality analysis for Python, TypeScript, and Go. 98% recall with fewer false positives than Vulture. Includes AI-powered remediation.
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- [duriantaco/skylos](https://github.com/duriantaco/skylos) [](https://glama.ai/mcp/servers/@duriantaco/mcp-skylos) 🐍 🏠 🍎 🪟 🐧 - Dead code detection, security scanning, and code quality analysis for Python, TypeScript, and Go. 98% recall with fewer false positives than Vulture. Includes AI-powered remediation.
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- [emiliaprotocol/emilia-protocol](https://github.com/emiliaprotocol/emilia-protocol) 📇 🏠 - Human sign-off + trust receipts for AI agents: requires a named human's approval before an irreversible action (payment release, record change, deploy), then mints an offline-verifiable Ed25519 Trust Receipt. Also exposes trust profiles, receipt verification, disputes, and delegation. Apache-2.0; policy engine formally verified. Install: `npx -y @emilia-protocol/mcp-server`.
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- [emiliaprotocol/emilia-protocol](https://github.com/emiliaprotocol/emilia-protocol) [](https://glama.ai/mcp/servers/emiliaprotocol/emilia-protocol) 📇 🏠 - Human sign-off + trust receipts for AI agents: requires a named human's approval before an irreversible action (payment release, record change, deploy), then mints an offline-verifiable Ed25519 Trust Receipt. Also exposes trust profiles, receipt verification, disputes, and delegation. Apache-2.0; policy engine formally verified. Install: `npx -y @emilia-protocol/mcp-server`.
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- [Erodenn/fetch-guard](https://github.com/Erodenn/fetch-guard) [](https://glama.ai/mcp/servers/@Erodenn/fetch-guard) 🐍 🏠 🍎 🪟 🐧 - URL fetcher and HTML-to-markdown converter with three-layer prompt injection defense: pre-extraction sanitization of hidden/off-screen elements and non-printing Unicode, 15-pattern risk scanning (HIGH/MEDIUM/OK), and per-request session-salt content boundary wrapping.
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- [Erodenn/fetch-guard](https://github.com/Erodenn/fetch-guard) [](https://glama.ai/mcp/servers/@Erodenn/fetch-guard) 🐍 🏠 🍎 🪟 🐧 - URL fetcher and HTML-to-markdown converter with three-layer prompt injection defense: pre-extraction sanitization of hidden/off-screen elements and non-printing Unicode, 15-pattern risk scanning (HIGH/MEDIUM/OK), and per-request session-salt content boundary wrapping.
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- [firstorderai/authenticator_mcp](https://github.com/firstorderai/authenticator_mcp) 📇 🏠 🍎 🪟 🐧 – A secure MCP (Model Context Protocol) server that enables AI agents to interact with the Authenticator App.
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- [firstorderai/authenticator_mcp](https://github.com/firstorderai/authenticator_mcp) 📇 🏠 🍎 🪟 🐧 – A secure MCP (Model Context Protocol) server that enables AI agents to interact with the Authenticator App.
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- [forest6511/secretctl](https://github.com/forest6511/secretctl) 🏎️ 🏠 🍎 🪟 🐧 - AI-safe secrets manager with MCP integration. Run commands with credentials injected as environment variables - AI agents never see plaintext secrets. Features output sanitization, AES-256-GCM encryption, and Argon2id key derivation.
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- [forest6511/secretctl](https://github.com/forest6511/secretctl) 🏎️ 🏠 🍎 🪟 🐧 - AI-safe secrets manager with MCP integration. Run commands with credentials injected as environment variables - AI agents never see plaintext secrets. Features output sanitization, AES-256-GCM encryption, and Argon2id key derivation.
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