How to Use the Black Duck (Synopsys) MCP in Google ADK

Q: Can I restrict which tools Google ADK uses with Black Duck (Synopsys)?

Yes, use the toolnames filter to whitelist only the specific operations your agent needs. This keeps your agent's action space focused.

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Connect Black Duck (Synopsys) MCP to Google ADK

Create your Vinkius account to connect Black Duck (Synopsys) 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 Black Duck (Synopsys) with Google ADK

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Sync Black Duck (Synopsys) with Google ADK

Connect your agent to the server using the McpToolset class. This brings project inventory into your Google Cloud agent environment instantly. Your agent calls `list_projects` to map your entire footprint. It then uses `get_project` to pull metadata for your specific security workflows.

Analyze dependencies through Google ADK

Trigger `list_vulnerabilities` to see what threats exist in your current scan. Your agent interprets these findings alongside your existing BigQuery data. This creates a unified view of your risk posture. You stop switching between tabs to check if a specific code location has been scanned.

Automate policy checks in Google ADK

Fetch current rules using `list_policy_rules` to guide your agent decision-making. Your agent evaluates if a version meets your internal security standards. It uses `get_bom_status` to verify scan completion. If the scan is pending, the agent waits or notifies you before proceeding with deployment tasks.

Setup guide

Set up Black Duck (Synopsys) 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 Black Duck (Synopsys) 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="Black Duck (Synopsys)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Black Duck (Synopsys) tools via MCP.",
    tools=mcp_tools,
)

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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 Black Duck (Synopsys). 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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Common questions about Black Duck (Synopsys) MCP in Google ADK

Initialize an McpToolset with your server URL and pass it to the LlmAgent. This allows your agent to invoke tools as part of its standard reasoning loop.

Yes, use the tool_names filter to whitelist only the specific operations your agent needs. This keeps your agent's action space focused.

The framework supports Stdio and HTTP. You can choose the transport that fits your deployment architecture best.

Gemini models handle large token counts easily. You can feed entire vulnerability lists into the context window for deep analysis.

All traffic is encrypted in transit and handled within an ephemeral runtime. Your sensitive project scan data is never stored on persistent disks by the hosting environment.

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