How to Use the Black Duck (Synopsys) MCP in CrewAI
Deploy a crew of specialized CrewAI agents to audit, track, and patch Black Duck security issues autonomously.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Black Duck (Synopsys) MCP to CrewAI
Create your Vinkius account to connect Black Duck (Synopsys) to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Multi-Agent Security Triage via MCP Server
This MCP Server provides the tools your agent crew needs to coordinate complex security reviews, including `list_projects` to monitor inventory. You can assign one agent to watch your inventory while another assesses risk. When a new project is found, the monitoring agent passes the ID to a security analyst agent. That analyst then runs `list_vulnerabilities` to compile a report without human intervention.
Autonomous Compliance Verification
Your compliance agent can verify policy rules using `list_policy_rules` and compare them against active code scans. This keeps your production builds aligned with security requirements automatically. By calling `get_bom_status`, the agent verifies that the Bill of Materials is fully calculated before starting a release audit. If the status is pending, the crew pauses until it completes.
Targeted Code Location Mapping
Give your developer agent access to `list_code_locations` to find the exact repository paths containing security vulnerabilities. This eliminates the guesswork when fixing deep dependency trees. You configure this by passing the Vinkius MCP URL inside the `mcps` list of your CrewAI agent. For fine-grained control, use `MCPServerHTTP` with a `tool_filter` to limit access to sensitive tools like `list_users`.
Set up Black Duck (Synopsys) MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Black Duck (Synopsys) tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Black Duck (Synopsys) Analyst",
goal="Access and analyze Black Duck (Synopsys) data via MCP.",
backstory="Expert analyst with direct Black Duck (Synopsys) access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Black Duck (Synopsys) transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Black Duck (Synopsys) Analyst",
goal="Access and analyze Black Duck (Synopsys) data via MCP.",
backstory="Expert analyst with direct Black Duck (Synopsys) access.",
tools=mcp_tools,
)
task = Task(
description="List recent Black Duck (Synopsys) transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) 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 CrewAI
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