How to Use the Contrast Security MCP in LangChain

Q: How do I filter Contrast Security findings in LangChain?

Use the searchvulnerabilities tool to define specific search criteria. Your agent then parses the returned traces to identify relevant security risks.

Build automated security chains in LangChain that hunt critical vulnerabilities across your stack.

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Connect Contrast Security MCP to LangChain

Create your Vinkius account to connect Contrast Security to LangChain 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 Contrast Security with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain security scans in LangChain

Pipe `list_critical_vulnerabilities` directly into your reasoning chains. The output flows straight into your next agent step without manual intervention. This MCP Server lets your chain decide when to trigger `get_vulnerability_details` based on the threat level. You control the sequence of operations within your LangGraph pipeline.

Audit your application inventory

Use `list_applications` to feed your agent a live map of your monitored codebase. You’ll see exactly where your agents are deployed in real-time. Connecting this MCP Server to your logic allows for automated reporting. Your agent parses the data from `get_application_details` to flag misconfigured servers immediately.

Filter security data programmatically

Use `search_vulnerabilities` to narrow down threats based on specific parameters. Your agent handles the heavy lifting of parsing these complex trace results. Everything stays within your LangSmith trace logs. You get full visibility into every tool call made by the server during your security assessment.

Setup guide

Set up Contrast Security MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Contrast Security tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "contrast-security-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Contrast Security transactions"
    })
    print(result["messages"][-1].content)

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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 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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Common questions about Contrast Security MCP in LangChain

Use the `search_vulnerabilities` tool to define specific search criteria. Your agent then parses the returned traces to identify relevant security risks.

Yes. By including the server tools in your agent definition, the agent can call `list_critical_vulnerabilities` to initiate scans based on your custom trigger logic.

It does. You can aggregate this server with others using the MultiServerMCPClient to build complex, multi-step workflows that combine security data with other system metrics.

Data remains stateless unless you implement a persistent session. Your Contrast Security vulnerability traces and application logs are only held in memory during the active agent execution.

The server transmits raw vulnerability trace data directly to your agent. No PII or proprietary source code is cached by the server; it only serves requested metadata.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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