Awesome/awesome-mcp-servers
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Merge pull request #1674 from forest6511/add-secretctl

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Add secretctl - AI-safe secrets manager MCP server
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Frank Fiegel
2026-01-22 22:13:43 -06:00
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@@ -1182,6 +1182,7 @@ Tools for conducting research, surveys, interviews, and data collection.
- [co-browser/attestable-mcp-server](https://github.com/co-browser/attestable-mcp-server) 🐍 🏠 ☁️ 🐧 - An MCP server running inside a trusted execution environment (TEE) via Gramine, showcasing remote attestation using [RA-TLS](https://gramine.readthedocs.io/en/stable/attestation.html). This allows an MCP client to verify the server before conencting.
- [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.
- [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.
- [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.
- [fosdickio/binary_ninja_mcp](https://github.com/fosdickio/binary_ninja_mcp) 🐍 🏠 🍎 🪟 🐧 - A Binary Ninja plugin, MCP server, and bridge that seamlessly integrates [Binary Ninja](https://binary.ninja) with your favorite MCP client. It enables you to automate the process of performing binary analysis and reverse engineering.
- [fr0gger/MCP_Security](https://github.com/fr0gger/MCP_Security) 📇 ☁️ - MCP server for querying the ORKL API. This server provides tools for fetching threat reports, analyzing threat actors, and retrieving intelligence sources.
- [Gaffx/volatility-mcp](https://github.com/Gaffx/volatility-mcp) - MCP server for Volatility 3.x, allowing you to perform memory forensics analysis with AI assistant. Experience memory forensics without barriers as plugins like pslist and netscan become accessible through clean REST APIs and LLMs.