How to Use the Bcrypt Hash Engine MCP in Google ADK

Q: Can I restrict Bcrypt Hash Engine tools in Google ADK?

Yes. You can use the toolnames filter in your toolset configuration. This lets you restrict the MCP Server tools, exposing only bcryptverify to a specific agent while hiding the hashing tool.

Equip your Gemini enterprise agents with pure JS password hashing using Bcrypt Hash Engine for Google ADK.

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Connect Bcrypt Hash Engine MCP to Google ADK

Create your Vinkius account to connect Bcrypt Hash Engine to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Bcrypt Hash Engine with Google ADK

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Enterprise Hashing via Google ADK

Enterprise agents processing data from BigQuery often encounter legacy user records that need secure migration. You cannot move raw credentials around your Google Cloud infrastructure without proper cryptographic protection. By connecting this MCP Server, your Gemini models gain the `bcrypt_hash` tool. They can process millions of tokens of context while securely hashing passwords with configurable salt rounds before writing back to your database.

Pure JavaScript Execution

Native dependencies break serverless deployments. If you run your agent on Cloud Run, you want to avoid compiling C libraries just to hash a string. This service operates entirely in JS. You connect your LlmAgent to the HTTP endpoint, and it gets full access to bcrypt functions without bloating your container footprint.

Secure Password Verification

Authentication flows require exact boolean matching. Attempting to manually compare a user input against a stored hash opens your system to timing attacks. Your agent uses the `bcrypt_verify` tool to handle this comparison safely. It passes the raw string and the BigQuery-stored hash, getting a simple true or false response to guide its next action.

Setup guide

Set up Bcrypt Hash Engine MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Bcrypt Hash Engine tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Bcrypt Hash Engine_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Bcrypt Hash Engine tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Bcrypt Hash Engine MCP in Google ADK

Set up an MCP connection using StreamableHttpServerParameters pointing to your Vinkius URL. Pass that toolset into your LlmAgent tools array to expose the hashing functions.

Yes. You can use the tool_names filter in your toolset configuration. This lets you restrict the MCP Server tools, exposing only bcrypt_verify to a specific agent while hiding the hashing tool.

Bcrypt is intentionally slow to prevent brute-force attacks. The execution speed depends on the salt rounds you specify, but the MCP connection itself adds negligible latency.

Yes, any model supported by the framework can call these tools. The agent natively understands the required parameters for both hashing and verifying.

The MCP server runs in a zero-trust architecture ensuring complete ephemeral processing. Passwords and generated hashes are processed in memory within a strict sandbox and are destroyed the millisecond the HTTP request completes.

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