How to Use the Black Duck (Synopsys) MCP in OpenAI Agents SDK

Audit your software supply chain directly within OpenAI Agents SDK. Stop guessing about CVEs and get actual data into your agents.

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Connect Black Duck (Synopsys) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Black Duck (Synopsys) to OpenAI Agents SDK 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 OpenAI Agents SDK

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Monitor project security in OpenAI Agents SDK

Your agent tracks open source risk by querying `get_bom_status` and `list_vulnerabilities` directly. It identifies problematic components before they hit your production build. This setup connects the Black Duck (Synopsys) MCP Server to your Python environment. You get immediate visibility into project health without manual dashboard checks.

Search and filter assets via OpenAI Agents SDK

Use `search_projects` to locate relevant codebases instantly. Your agent pulls exact details via `get_project` to keep context windows clean and focused. This workflow avoids stale data. Your agent fetches the latest versions using `list_project_versions` to ensure your analysis covers current deployments.

Enforce policies using OpenAI Agents SDK

Directly execute `list_policy_rules` to see what compliance hurdles your project faces. Your agent flags violations before code ever hits the repository. It handles the heavy lifting of parsing scan results from `list_code_locations`. You catch security drift early and keep your dependency graph clean.

Setup guide

Set up Black Duck (Synopsys) MCP in OpenAI Agents SDK

Prerequisites

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

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Black Duck (Synopsys) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Black Duck (Synopsys) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Black Duck (Synopsys) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Black Duck (Synopsys) Agent",
            instructions="You have access to Black Duck (Synopsys) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Black Duck (Synopsys) MCP in OpenAI Agents SDK

Use the MCPServerStreamableHttp class to point your agent at the server URL. Pass the instance into your agent constructor to let the SDK auto-discover your tools.

Yes, the SDK handles asynchronous communication natively. You should use a context manager to manage the server lifecycle during your agent run.

Set cacheToolsList=True in your configuration. This caches the tool definitions to save time during agent initialization.

The agent uses the provided tools to fetch raw CVE data. It then processes this information based on the logic you define in your agent code.

Vinkius manages the server in an isolated V8 sandbox. Only your specific endpoint token is used to authenticate, ensuring that no raw credentials ever touch your local agent memory.

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