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

Index your open source scan results into LlamaIndex for semantic search and grounded vulnerability analysis.

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Connect Black Duck (Synopsys) MCP to LlamaIndex

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

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LlamaIndex RAG for project data

Call `list_projects` and index the output into your vector store. Your LlamaIndex agents search through this knowledge base to answer questions about your inventory. This turns static scan data into a queryable asset. You get grounded answers about your supply chain status instead of generic LLM guesses.

Sync vulnerability history in LlamaIndex

Run `list_vulnerabilities` and add the results to your index. This lets your agent compare current threats against historical project versions. Combine this with `get_vulnerability_details` to provide full context to your RAG pipeline. Your index becomes a living map of your security posture.

Map code locations for LlamaIndex

Use `list_code_locations` to track where your scans originate. LlamaIndex stores these paths so your agent understands the physical structure of your projects. This visibility helps your agent correlate scan results with specific repositories. It creates a bridge between your code and the security findings.

Setup guide

Set up Black Duck (Synopsys) MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Black Duck (Synopsys) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Black Duck (Synopsys) tools.",
)
response = await agent.run("List recent Black Duck (Synopsys) data")

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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 LlamaIndex

Fetch the tool list using the MCP spec and pass the results to your ingestion pipeline. The agent then converts that API response into vector embeddings.

Yes, you can configure your agent to call the search tools whenever a user asks a question. It retrieves live data, then indexes it for your session.

Vinkius isolates your data in a secure sandbox. Your agent only sees what you explicitly request through the authenticated connection.

Yes, you can limit which projects or vulnerabilities are visible to your agent. This keeps your vector store focused on relevant security data.

The server transmits project names and CVE IDs directly to your local index. Your sensitive BOM data never touches persistent storage on our side.

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