Authenticator App▌
by firstorderai
Securely access two-factor authentication codes and passwords with this advanced password manager for seamless login ass
Provides secure access to two-factor authentication codes and passwords stored in the Authenticator App, enabling seamless login assistance across multiple services without manual code entry.
best for
- / AI-assisted automated logins
- / Password and 2FA code management
- / Streamlining authentication workflows
capabilities
- / Retrieve 2FA authentication codes
- / Access stored passwords securely
- / Automate login processes for websites
- / Bridge AI assistants with authentication systems
what it does
Provides AI agents secure access to 2FA codes and passwords from the Authenticator App, enabling automated login assistance without manual code entry.
about
Authenticator App is an official MCP server published by firstorderai that provides AI assistants with tools and capabilities via the Model Context Protocol. Securely access two-factor authentication codes and passwords with this advanced password manager for seamless login ass It is categorized under auth security.
how to install
You can install Authenticator App in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Authenticator App is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
README content is unavailable from source data for this server.
Open GitHub repositoryFAQ
- What is the Authenticator App MCP server?
- Authenticator App is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Authenticator App?
- This profile displays 66 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
Ratings
4.6★★★★★66 reviews- ★★★★★Arjun Zhang· Dec 24, 2024
Authenticator App has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Xiao Srinivasan· Dec 24, 2024
Authenticator App reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Dhruvi Jain· Dec 12, 2024
Authenticator App has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Alexander Bhatia· Nov 15, 2024
According to our notes, Authenticator App benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Xiao Verma· Nov 15, 2024
Useful MCP listing: Authenticator App is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Oshnikdeep· Nov 3, 2024
According to our notes, Authenticator App benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Charlotte Abebe· Nov 3, 2024
Authenticator App is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Ganesh Mohane· Oct 22, 2024
We wired Authenticator App into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Alexander Bansal· Oct 22, 2024
Strong directory entry: Authenticator App surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Charlotte Diallo· Oct 6, 2024
We wired Authenticator App into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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