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 Pydantic AI 10 tools — connect in under 2 minutes

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

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Black Duck (Synopsys) through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Black Duck (Synopsys) "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Black Duck (Synopsys)?"
    )
    print(result.data)

asyncio.run(main())

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Ed25519Audit chain

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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.

Pydantic AI validates every Black Duck (Synopsys) tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Black Duck (Synopsys) with type-safe schemas

Why Use Pydantic AI with the Black Duck (Synopsys) MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Black Duck (Synopsys) integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Black Duck (Synopsys) connection logic from agent behavior for testable, maintainable code

Black Duck (Synopsys) + Pydantic AI Use Cases

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

Type-safe data pipelines: query Black Duck (Synopsys) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Black Duck (Synopsys) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Black Duck (Synopsys) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Black Duck (Synopsys) responses and write comprehensive agent tests

Black Duck (Synopsys) MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Black Duck (Synopsys) to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Black Duck (Synopsys) + Pydantic AI FAQ

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

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Black Duck (Synopsys) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.