How to Use the Contrast Security MCP in Pydantic AI
Validate every security trace from Contrast Security using Pydantic AI for type-safe agent decision making.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Contrast Security MCP to Pydantic AI
Create your Vinkius account to connect Contrast Security to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Type-safe security audits with Pydantic AI
Call `get_vulnerability_details` and let Pydantic models validate the response immediately. If the API returns malformed data, your agent crashes safely instead of acting on garbage input. `list_vulnerability_traces` provides a list of objects that map directly to your Pydantic schemas. This guarantees that your agent handles every field with the correct data type.
Enforce schema compliance in Pydantic AI
Use `list_applications` to fetch your app list. Your agent uses these results to populate internal state, with every field verified against your runtime models. Perform deep searches with `search_applications_by_name`. The tool output is parsed into your defined types, preventing the agent from hallucinating application names or status codes.
Manage Contrast Security state in Pydantic AI
Fetch user lists with `list_organization_users`. Your agent validates the returned user objects against your local security policy, ensuring only authorized personnel are detected. Check organization status with `get_organization_info`. Your agent uses this data to confirm it is operating within the correct account scope before running any security queries.
Set up Contrast Security MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"contrast-security-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Contrast Security tools.",
)
result = await agent.run("List recent Contrast Security transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Contrast Security. 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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60%
lower AI costs
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place for every integration
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Common questions about Contrast Security MCP in Pydantic AI
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