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Bcrypt Hash Engine

Bcrypt Hash Engine MCP. Securely Store and Verify Passwords.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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The Bcrypt Hash Engine is an MCP that handles secure password storage. It uses bcrypt, the industry-standard method for hashing passwords with a unique salt.

You can use it to hash new passwords or verify user logins against stored hashes without ever handling plaintext credentials.

What your AI agents can do

Bcrypt hash

Hashes a password using bcrypt. It includes a unique salt and lets you set the computational cost (rounds).

Bcrypt verify

Checks if a given password matches an existing hash, returning a simple true/false boolean.

Generate secure credential hashes

It creates a salted, one-way cryptographic hash from a plain text password using configurable rounds.

Validate credentials against stored hashes

You pass in a potential password and the existing hash; it confirms if they match without exposing either secret.

Supported MCP Clients

OAuth 2.0 Compatible
Vinkius runs on Claude Claude
Vinkius runs on ChatGPT ChatGPT
Vinkius runs on Cursor Cursor
Vinkius runs on Gemini Gemini
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Vinkius runs on Vercel Vercel
Vinkius runs on Zendesk Zendesk
+ other MCP clients
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Bcrypt Hash Engine: 2 Tools for Security

These two tools let you securely manage all user authentication data: generating hashes on signup, and validating passwords during login.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Bcrypt Hash Engine on Vinkius
bcrypt019e386c

bcrypt hash

Hashes a password using bcrypt. It includes a unique salt and lets you set the computational cost (rounds).

bcrypt019e386c

bcrypt verify

Checks if a given password matches an existing hash, returning a simple true/false boolean.

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by bcryptjs. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 2 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

The hassle of manually managing secure passwords today

You’re writing a new feature and get to the authentication module. You have to decide: do I store the password as text? No, that's bad. Do I encrypt it? Wait, encryption is reversible; if the key gets stolen, everything falls apart. It feels like you need a specialized tool just for this one task, which means dealing with complex library dependencies and build systems.

With this MCP, you don't worry about any of that overhead. You simply tell your agent to handle it. The system takes care of the salt generation, the hashing process, and the secure storage format. You get a single, reliable output: a verifiable hash string.

Bcrypt Hash Engine for Password Security

Before this MCP, you were writing custom logic that risked missing salt management or using the wrong algorithm. You might also end up manually calling separate functions just to handle hashing versus checking.

Now it's straightforward: use `bcrypt_hash` for all new signups and rely on `bcrypt_verify` every time a user logs in. The security is handled, period.

What you can do with this MCP connector

Storing passwords in plain text? That's a huge security risk. This MCP fixes that by using bcrypt, which is what major platforms like Dropbox and GitHub rely on. It’s designed not just to store your password securely, but it also intentionally slows down the process; this makes brute-force attacks prohibitively slow for hackers.

You don't need to manage salts manually either—the system handles all that automatically. By connecting this MCP through Vinkius, you give your agent a reliable way to handle user authentication data from anywhere, whether that’s in an IDE or an automated workflow. It lets you hash new credentials using configurable salt rounds and then check if a provided password matches the stored hash.

You just get the boolean result: match or no match.

Built · Hosted · Managed by Vinkius Bcrypt Hash Engine - Secure Password Hashing Tool Server ID 019e386c-791b-73c2-8c77-3b7fabd8bcdb
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Compliance Grade D
Score 61.25/100
Vinkius Inspector Badge — Score 61.25/100

Common Questions About Bcrypt Hash Engine MCP

How do I generate a hash with the bcrypt_hash tool? +

You pass the plain text password and specify the salt rounds you want to use (e.g., 12). The MCP returns the complete, salted hash string ready for your database.

Can I verify a user login using bcrypt_verify? +

Yep. You pass in two things: the password the user provided, and the stored hash from your database. The tool returns true if they match, or false otherwise.

Is this MCP safe to use for all my services? +

Yes. It uses bcrypt, which is an industry standard designed specifically for password hashing. It's a robust method that resists common brute-force attacks.

Does bcrypt_hash require native compilation? +

Nope. This MCP runs on pure JavaScript (bcryptjs), so it works in environments like Edge and Cloudflare Workers without any tricky node-gyp or compilation steps.

How do I determine the correct salt round cost when using the bcrypt_hash tool? +

You should choose a cost that balances security against your required response time. Financial or government systems usually require 12 rounds or higher, which adds computational overhead but drastically increases brute-force resistance.

Why is it wrong to compare hashes manually when using the bcrypt_verify tool? +

You must always use bcrypt_verify because comparing two hashes directly exposes timing vulnerabilities. The built-in function handles the necessary slow, constant time comparison required for security.

Since this MCP is pure JavaScript, where can I run it without compilation issues? +

Because it uses bcryptjs and requires no native compilation, you can deploy this MCP in modern serverless environments like Cloudflare Workers, AWS Lambda, or Edge functions.

What is the recommended balance between high security and reasonable latency when using the bcrypt_hash tool? +

The default of 10 rounds provides a good starting point for most applications. If speed becomes critical, you can lower it, but remember that increasing the cost factor directly boosts resistance against attackers.

Built & Managed by Vinkius 30s setup 2 tools

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Vinkius runs on Claude Claude
Vinkius runs on ChatGPT ChatGPT
Vinkius runs on Cursor Cursor
Vinkius runs on Gemini Gemini
Vinkius runs on Windsurf Windsurf
Vinkius runs on VS Code VS Code
Vinkius runs on JetBrains JetBrains
Vinkius runs on Vercel Vercel
+ other MCP clients

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