How to Use the Wallarm MCP in LangChain

Q: Can LangChain check existing IP rules with Wallarm?

Yeah, absolutely. You can use listipaclrules right at the beginning of your chain to see what's already configured before you try to create a new block with createipaclrule.

Q: How do I check my account status using LangChain?

You simply call getclientinfo. The tool returns details about the Wallarm account and subscription level, which can then be passed to another agent for billing or feature checks.

Build complex security reasoning chains with LangChain and Wallarm's MCP Server.

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Connect Wallarm MCP to LangChain

Create your Vinkius account to connect Wallarm 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 Wallarm with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Inspect blocked traffic payloads

The `search_security_hits` tool lets your agent pull full request headers and payloads for every piece of blocked traffic. This gives you the raw data needed to figure out exactly what an attacker sent. It's great for building attack pattern recognition chains. You search hits, analyze the payload content with another tool, and then update the finding status using `update_vulnerability_status`.

Discover API endpoints automatically

If you don't know where to start, use `get_discovered_api_inventory`. This function analyzes passive traffic streams and gives your agent a list of every endpoint exposed. You can then feed that inventory into subsequent steps for deeper security checks. This is critical when building multi-step pipelines because it ensures the agent has a complete map of what's available to be exploited.

Manage IP blocklists in chains

Use `create_ip_acl_rule` when your chain needs to enforce network boundaries. You specify if the rule should be 'white' (allow) or 'black' (deny), and then immediately check the current list with `list_ip_acl_rules`. This two-step process is perfect for autonomous decision chains. When an agent detects suspicious activity, it can automatically create a block rule and verify its success using this MCP Server.

Setup guide

Set up Wallarm 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 Wallarm 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({
    "wallarm-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 Wallarm transactions"
    })
    print(result["messages"][-1].content)

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Common questions about Wallarm MCP in LangChain

Your agent treats every security finding as an actionable step. It can search for attacks using `search_security_attacks`, passing the vector type (like SQLi) to a subsequent tool call, rather than just showing you a list.

Yeah, absolutely. You can use `list_ip_acl_rules` right at the beginning of your chain to see what's already configured before you try to create a new block with `create_ip_acl_rule`.

The server handles raw security payloads and request headers when running tools like `search_security_hits`. This is sensitive data, so make sure your agent has the right permissions before calling it.

You simply call `get_client_info`. The tool returns details about the Wallarm account and subscription level, which can then be passed to another agent for billing or feature checks.

You'll want it when you need security decisions. For example, if your flow needs to detect a vulnerability via `search_vulnerabilities` and then automatically change its status using `update_vulnerability_status`.

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