Contrast Security MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Contrast Security through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Contrast Security "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Contrast Security?"
)
print(result.data)
asyncio.run(main())
* 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 Contrast Security MCP Server
Connect your Contrast Security platform to any AI agent and bring powerful AppSec monitoring to your conversational workflow. Instantly audit the security posture of your applications without digging through complex UI menus.
Pydantic AI validates every Contrast Security tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through 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
- Application Triage — Quickly list all monitored applications to ensure your Contrast sensors are actively covering your production and staging environments.
- Vulnerability Hunting — Query the AI to extract critical vulnerabilities (traces) across your entire app portfolio instantly, pulling precise flaws to prioritize remediation.
- Trace Analysis — Zoom in on a specific trace UUID to understand the security context and the exact affected endpoint.
The Contrast Security 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 Contrast Security to Pydantic AI via MCP
Follow these steps to integrate the Contrast Security 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 Contrast Security with type-safe schemas
Why Use Pydantic AI with the Contrast Security MCP Server
Pydantic AI provides unique advantages when paired with Contrast Security 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 Contrast Security integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Contrast Security connection logic from agent behavior for testable, maintainable code
Contrast Security + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Contrast Security MCP Server delivers measurable value.
Type-safe data pipelines: query Contrast Security with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Contrast Security tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Contrast Security and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Contrast Security responses and write comprehensive agent tests
Contrast Security MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Contrast Security to Pydantic AI via MCP:
get_application_details
Get detailed information about a specific application
get_organization_info
Get metadata about the current Contrast organization
get_vulnerability_details
Get full technical details for a specific vulnerability trace
list_applications
List all applications monitored in Contrast Security
list_critical_vulnerabilities
Quickly list only vulnerabilities with CRITICAL severity
list_monitored_servers
List servers where Contrast agents are deployed
list_organization_users
List users in your Contrast Security organization
list_vulnerability_traces
List security vulnerability traces (vulnerabilities)
search_applications_by_name
Search for monitored applications by name
search_vulnerabilities
Search and filter vulnerabilities using complex criteria
Example Prompts for Contrast Security in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Contrast Security immediately.
"List all applications monitored in my Contrast Security organization."
"List all CRITICAL vulnerabilities found across my entire Contrast fleet."
"Retrieve the full technical details for the vulnerability trace UUID '1xx-bbxx-11x'."
Troubleshooting Contrast Security MCP Server with Pydantic AI
Common issues when connecting Contrast Security to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiContrast Security + Pydantic AI FAQ
Common questions about integrating Contrast Security MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect Contrast Security with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Contrast Security to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
