Wallarm MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Wallarm through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"wallarm": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Wallarm Agent",
instructions:
"You help users interact with Wallarm " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Wallarm?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Wallarm tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Wallarm MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Wallarm via MCP
Why Use Mastra AI with the Wallarm MCP Server
Mastra AI provides unique advantages when paired with Wallarm through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Wallarm without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Wallarm tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Wallarm + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Wallarm MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Wallarm, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Wallarm as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Wallarm on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Wallarm tools alongside other MCP servers
Wallarm MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Wallarm to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Wallarm to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpWallarm + Mastra AI FAQ
Common questions about integrating Wallarm MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Wallarm with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Wallarm to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.