Can I check for critical vulnerabilities in a specific project version?

Yes! Use the `list_vulnerabilities` tool with the Project and Version IDs. Your agent will fetch the list of components with known security flaws and their severity levels.

How do I know if my Black Duck scan is finished?

Simply ask the agent to `get_bom_status` for the specific project version. It will return the current calculation status, showing if the BOM is 'Up to date' or still processing.

What happens if I trigger API rate limits?

Black Duck limits connections to 100 requests per 10 seconds or 10,000 per 30 minutes. If you exceed this sustained load protection, you will temporarily receive a HTTP 429 error code restricting your IP for 15 minutes.

Black Duck (Synopsys) MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Black Duck (Synopsys)
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Black Duck (Synopsys) through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "black-duck-synopsys": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Black Duck (Synopsys), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Black Duck (Synopsys) MCP Server

Connect your Black Duck (Synopsys) instance to any AI agent and orchestrate your open source security and license compliance workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Black Duck (Synopsys) through native MCP adapters. Connect 10 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Project Oversight — List and retrieve detailed metadata for all your software projects and their versions.
Vulnerability Tracking — Query project versions for known vulnerabilities (CVEs) and retrieve severity levels.
BOM Monitoring — Check the status of Bill of Materials (BOM) calculations to ensure up-to-date compliance data.
Policy Management — List and audit security policy rules defined across your organization.
Scan Analysis — Access code locations and scan histories to track security coverage.
User & Access Auditing — Retrieve user profiles and manage access controls within the platform.

The Black Duck (Synopsys) MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Black Duck (Synopsys) to LangChain via MCP

Follow these steps to integrate the Black Duck (Synopsys) MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Black Duck (Synopsys) via MCP

Why Use LangChain with the Black Duck (Synopsys) MCP Server

LangChain provides unique advantages when paired with Black Duck (Synopsys) through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine Black Duck (Synopsys) MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Black Duck (Synopsys) queries for multi-turn workflows

Black Duck (Synopsys) + LangChain Use Cases

Practical scenarios where LangChain combined with the Black Duck (Synopsys) MCP Server delivers measurable value.

RAG with live data: combine Black Duck (Synopsys) tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Black Duck (Synopsys), synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Black Duck (Synopsys) tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Black Duck (Synopsys) tool call, measure latency, and optimize your agent's performance

Black Duck (Synopsys) MCP Tools for LangChain (10)

These 10 tools become available when you connect Black Duck (Synopsys) to LangChain via MCP:

get_bom_status

Check BOM calculation status for a project version

get_project

Get details of a specific project

get_vulnerability_details

Get details of a specific CVE/Vulnerability

list_code_locations

List all scan code locations

list_policy_rules

List all security policy rules

list_project_versions

List all versions for a specific project

list_projects

List all Black Duck projects

list_users

List all Black Duck users

list_vulnerabilities

List vulnerabilities for a project version

search_projects

Search projects by name

Example Prompts for Black Duck (Synopsys) in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Black Duck (Synopsys) immediately.

"List all versions for project 'Web-Portal'."

"Identify any critical vulnerabilities in the backend service repository."

"Fetch the BOM status for project Alpha version 2.0."

Troubleshooting Black Duck (Synopsys) MCP Server with LangChain

Common issues when connecting Black Duck (Synopsys) to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Black Duck (Synopsys) + LangChain FAQ

Common questions about integrating Black Duck (Synopsys) MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.