How to Use the Wallarm MCP in Mastra AI

Q: How does Wallarm help with vulnerability status tracking for Mastra AI?

The agent uses updatevulnerabilitystatus to manage the life cycle of findings. This allows complex workflows to treat a finding as 'closed' or 'falsepositive,' preventing unnecessary alerts.

Q: What information can Mastra AI get about security attacks from Wallarm?

The agent runs searchsecurityattacks to gather structured data, grouping detected issues by vector like XSS. This informs the workflow's conditional branching logic.

Q: Can I use Wallarm to manage API access within Mastra AI?

Yes. The agent can execute createipaclrule to adjust IP allowlists or denylists, making the overall workflow highly secure and self-managing.

Q: How does Wallarm provide API context for Mastra AI?

The getdiscoveredapiinventory tool automatically gathers a list of all APIs from passive traffic analysis. This ensures the agent always knows which endpoints exist in the environment.

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Create your Vinkius account to connect Wallarm to Mastra AI 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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Automate Vulnerability Status Changes

If a workflow detects a false positive hit, it can automatically call `update_vulnerability_status`. This changes the lifecycle status of the finding to 'falsepositive'. The agent manages this state change without human intervention. Conversely, when a critical vulnerability is confirmed, your Mastra AI flow sets the status using `update_vulnerability_status` to 'open' for immediate action.

Identify and Mitigate Blocked Attacks

When a workflow needs to analyze an attack failure, it runs `search_security_hits`. This gets the full context—headers and payloads—of blocked traffic. The agent then uses this data to inform conditional retries. Alternatively, use `search_security_attacks` to pull grouped reports (like SQLi or XSS) that guide your workflow's retry logic.

Manage API Access Policies

Your Mastra AI workflows can enforce access control. The `create_ip_acl_rule` tool allows the agent to add IP ranges to either a 'white' or 'black' list, ensuring only approved sources execute critical steps. Before adding rules, the workflow executes `list_ip_acl_rules`, checking existing policies to prevent conflicts.

Setup guide

Set up Wallarm MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Wallarm tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "wallarm-mcp-client",
  servers: {
    "wallarm-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Wallarm Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Wallarm tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Wallarm transactions"
);
console.log(result.text);

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Common questions about Wallarm MCP in Mastra AI

The agent uses `update_vulnerability_status` to manage the life cycle of findings. This allows complex workflows to treat a finding as 'closed' or 'falsepositive,' preventing unnecessary alerts.

The agent runs `search_security_attacks` to gather structured data, grouping detected issues by vector like XSS. This informs the workflow's conditional branching logic.

Yes. The agent can execute `create_ip_acl_rule` to adjust IP allowlists or denylists, making the overall workflow highly secure and self-managing.

The `get_discovered_api_inventory` tool automatically gathers a list of all APIs from passive traffic analysis. This ensures the agent always knows which endpoints exist in the environment.

This MCP Server handles API traffic and security metadata. It deals with IP addresses, vulnerability IDs, request headers, payloads, and account subscription details retrieved by `get_client_info`.

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