How to Use the Black Duck (Synopsys) MCP in LangChain

Build automated security chains in LangChain that pull project data and vulnerability reports directly from Black Duck (Synopsys).

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Connect Black Duck (Synopsys) MCP to LangChain

Create your Vinkius account to connect Black Duck (Synopsys) to LangChain 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 LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain security scans in LangChain

Feed `list_projects` output directly into your reasoning chain. Your agent chains these results to identify which targets need immediate attention. Use `get_bom_status` as a conditional gate in your pipeline. If the calculation isn't ready, your agent skips the step rather than crashing the chain.

Automate vulnerability triage with LangChain

Pass `list_vulnerabilities` data into your agent's context window for analysis. The agent evaluates the severity levels returned by the server. Connect `get_vulnerability_details` to retrieve specific CVE data for your team. This avoids manual lookups and keeps your LangChain agents focused on remediation.

Manage policy logic inside LangChain

Call `list_policy_rules` to pull your active security requirements. Your agent verifies project compliance against these constraints in real time. Compare these rules against your current BOM status. This MCP Server provides the raw facts your LangChain agents need to enforce company standards.

Setup guide

Set up Black Duck (Synopsys) MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Black Duck (Synopsys) tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "black-duck-synopsys-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Black Duck (Synopsys) transactions"
    })
    print(result["messages"][-1].content)

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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 LangChain

Install the MCP adapters and point your client to the Vinkius endpoint. You then pass the tool list into your agent constructor to enable direct access.

Yes, your agent uses the search tools to locate projects by name. It then chains that project ID into downstream vulnerability checks.

Only if you configure your client for persistent state. By default, the server provides data per request, keeping your memory usage clean.

Vinkius handles authentication behind the scenes. Your agent only receives an endpoint token that is scoped strictly to the server instance.

The server transmits raw CVE details and project metadata to your agent. This sensitive information is never stored or logged by Vinkius infrastructure.

Use it with your favorite AI tools

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