Can I block a malicious IP address directly from my agent?

Yes. Using the `create_ip_acl_rule` tool, you can immediately add an IP or CIDR range to your global denylist (black list) to mitigate threats as soon as they are identified during your security audit.

Is it possible to triage vulnerabilities and change their status via chat?

Absolutely. You can use `update_vulnerability_status` to change a vulnerability's lifecycle status (e.g., to closed or false positive) once you have investigated it or applied remediation steps.

Wallarm MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Wallarm
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Wallarm through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "wallarm": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Wallarm, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Wallarm MCP Server

Connect your Wallarm account to any AI agent and secure your API infrastructure through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Wallarm through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Security Attacks — Monitor and search for active security attacks detected by Wallarm, grouped by vector (SQLi, XSS, etc.)
Granular Hits — Perform deep forensics by searching for individual malicious HTTP request hits with full payloads
Vulnerability Management — List and triage security vulnerabilities discovered in live API traffic directly from your agent
API Inventory — Retrieve the automatically discovered API inventory to see all exposed endpoints and methods
Filtering Nodes — Verify the health and heartbeat status of your deployed WAF and API gateway filtering nodes
IP Control — Audit and manage IP allowlist/denylist rules to immediately block malicious sources or allow trusted partners
Remediation Guidance — Access comprehensive diagnostic data and CWE mappings for specific vulnerabilities

The Wallarm MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain 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 Wallarm to LangChain via MCP

Follow these steps to integrate the Wallarm MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Wallarm via MCP

Why Use LangChain with the Wallarm MCP Server

LangChain provides unique advantages when paired with Wallarm through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Wallarm MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Wallarm queries for multi-turn workflows

Wallarm + LangChain Use Cases

Practical scenarios where LangChain combined with the Wallarm MCP Server delivers measurable value.

RAG with live data: combine Wallarm tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Wallarm, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Wallarm tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Wallarm tool call, measure latency, and optimize your agent's performance

Wallarm MCP Tools for LangChain (10)

These 10 tools become available when you connect Wallarm to LangChain via MCP:

create_ip_acl_rule

list_type must be "white" or "black". Adds an IP or CIDR range to the global allowlist or denylist

get_client_info

Retrieves details about the Wallarm account, subscription, and feature status

get_discovered_api_inventory

Retrieves the API inventory automatically discovered through passive traffic analysis

get_vulnerability_details

Retrieves comprehensive diagnostic data and exploit evidence for a specific vulnerability ID

list_filtering_nodes

Lists all deployed Wallarm WAF/API gateway filtering nodes

list_ip_acl_rules

Lists configured IP allowlist and denylist rules

search_security_attacks

Searches for security attacks detected by Wallarm, grouped by vector (SQLi, XSS, etc.)

search_security_hits

Shows full request headers and payloads for blocked traffic. Searches for granular individual malicious HTTP request hits intercepted by WAF nodes

search_vulnerabilities

Lists all open security vulnerabilities discovered in live API traffic

update_vulnerability_status

Valid statuses: open, closed, falsepositive. Changes the lifecycle status of a vulnerability (e.g., mark as closed or false positive)

Example Prompts for Wallarm in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Wallarm immediately.

"List all security attacks detected in the last hour."

"Block the malicious IP address 1.2.3.4 immediately."

"What vulnerabilities are currently open in our production API?"

Troubleshooting Wallarm MCP Server with LangChain

Common issues when connecting Wallarm to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Wallarm + LangChain FAQ

Common questions about integrating Wallarm MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.