How to Use the Halo Security MCP in LangChain

Q: How do I handle rate limits when running Halo Security scans inside a LangChain loop?

You should configure your LangChain agent to check listscans before calling triggerscan. This lets the agent verify if a scan is already running on the target, preventing API rate limit exhaustion and keeping your execution costs down.

Q: Can a LangChain agent automatically remediate issues found by Halo Security?

Yes, the agent can fetch vulnerability details using getissue and listissues, then pass that code context to a code-generation chain to draft a patch. It won't modify your infrastructure directly, but it can open a pull request with the fix.

Q: Can I use this server to audit SSL/TLS certificates?

Yes. Your agent can call listcertificates to pull expiration dates and cryptographic details for all your monitored endpoints, allowing you to flag weak cipher suites before they fail compliance checks.

Feed live external attack surface data directly into your LangChain reasoning loops to catch vulnerabilities before they hit production.

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Connect Halo Security MCP to LangChain

Create your Vinkius account to connect Halo 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 Halo Security with LangChain

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Multi-step risk analysis in LangChain

Your LangChain agents can map an entire attack surface by running `list_targets` to see what you are currently monitoring. The agent then feeds those IDs into `list_open_ports` and `list_dns_records` to find exposed services. This lets the agent build a complete topology map without you writing custom glue code. If the agent detects a new hostname during a run, it can immediately execute `add_target` to bring it under management. From there, the chain triggers a scan using `trigger_scan` and passes the resulting scan ID to your Slack notification tool, keeping your SecOps loop tight and automated.

Trace security decisions with LangSmith

By connecting this MCP Server to LangChain, every tool execution is fully logged in LangSmith, from fetching risk trends with `get_security_risk` to checking raw issues. You see the exact input parameters and raw JSON payloads. This visibility makes it simple to audit how your agents handle threat intelligence. If an agent decides to skip alerting on a specific port found via `list_open_ports`, you can audit the exact reasoning path. This transparency makes it safe to hand over remediation tasks to your LLM chains, because you can pinpoint exactly why an agent classified a vulnerability the way it did.

Chain Halo Security MCP tools with database lookups

Combine external security data with your internal asset registry by querying active assets from `list_targets`. Your LangChain agent can query your internal database, compare it with active assets, and identify untracked shadow IT. When it finds a discrepancy, it uses `add_target` to close the gap instantly. You can also feed the output of `list_technologies` into a local database check to see if any running library violates your internal compliance policies. This turns static security reports into active, self-healing infrastructure pipelines.

Setup guide

Set up Halo 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 Halo 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({
    "halo-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 Halo 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 Halo 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 Halo Security MCP in LangChain

You should configure your LangChain agent to check `list_scans` before calling `trigger_scan`. This lets the agent verify if a scan is already running on the target, preventing API rate limit exhaustion and keeping your execution costs down.

Yes, the agent can fetch vulnerability details using `get_issue` and `list_issues`, then pass that code context to a code-generation chain to draft a patch. It won't modify your infrastructure directly, but it can open a pull request with the fix.

You don't need to manage API keys inside your LangChain code. Vinkius hosts the MCP Server securely, meaning your agent connects via a single secure endpoint token, keeping your sensitive platform keys out of your application environment.

Yes. Your agent can call `list_certificates` to pull expiration dates and cryptographic details for all your monitored endpoints, allowing you to flag weak cipher suites before they fail compliance checks.

Your exposed port configurations and DNS records are processed inside a zero-trust, ephemeral V8 isolate sandbox on Vinkius. No scan history or target asset data is stored permanently on our platform; everything passes through securely to your agent.

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