How to Use the Wallarm MCP in LlamaIndex

Q: How does LlamaIndex use Wallarm's MCP Server?

It ingests the data from tools like searchsecurityhits and indexes it. Instead of just displaying a list, you can query the knowledge base to ask specific questions about blocked traffic payloads.

Q: Can LlamaIndex monitor API security findings?

Yes. You index results from searchvulnerabilities and then build queries around those open vulnerabilities. This lets you cross-reference a vulnerability ID with historical attack patterns found in the logs.

Q: What if I need to check my client account info?

You can run the getclientinfo tool and index that output. Your application then grounds answers about subscription tiers or feature status directly in your knowledge base.

Q: Does Wallarm's MCP Server help with IP management for LlamaIndex?

It does. By indexing the results of listipaclrules, you can build a structured document that explains why certain IPs are blocked or allowed, making documentation generation much easier.

Index Wallarm's API security findings into knowledge graphs with LlamaIndex.

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Connect Wallarm MCP to LlamaIndex

Create your Vinkius account to connect Wallarm to LlamaIndex 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 LlamaIndex

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Build a vulnerability index

The `search_vulnerabilities` tool lists all open weaknesses found in live traffic. By indexing this output, your RAG application can answer questions like 'Which endpoints were vulnerable last month?' It grounds semantic search directly on the API's security posture, preventing hallucinations about critical infrastructure flaws.

Search past attack details

You can index results from `search_security_attacks`. This means users can query historical data—for instance, 'Show me all XSS attacks detected in Q3'—and get answers based on the actual recorded attack vectors. This capability turns raw security logs into a searchable knowledge base for compliance and auditing.

Track IP rule changes

The `list_ip_acl_rules` tool provides the current list of allowed or denied IPs. Indexing these rules means you can query historical configuration changes, answering questions like 'When did we change our primary allowlist?' This is crucial for auditing and ensuring that policy decisions are traceable.

Setup guide

Set up Wallarm MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Wallarm MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Wallarm tools.",
)
response = await agent.run("List recent Wallarm data")

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Common questions about Wallarm MCP in LlamaIndex

It ingests the data from tools like `search_security_hits` and indexes it. Instead of just displaying a list, you can query the knowledge base to ask specific questions about blocked traffic payloads.

Yes. You index results from `search_vulnerabilities` and then build queries around those open vulnerabilities. This lets you cross-reference a vulnerability ID with historical attack patterns found in the logs.

The server handles API endpoints, request headers, and payloads when running tools like `search_security_hits`. When indexing this information, ensure your knowledge base is segregated by sensitivity level.

You can run the `get_client_info` tool and index that output. Your application then grounds answers about subscription tiers or feature status directly in your knowledge base.

It does. By indexing the results of `list_ip_acl_rules`, you can build a structured document that explains why certain IPs are blocked or allowed, making documentation generation much easier.

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