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How to Use the Ahrefs MCP in Mastra AI

Build resilient, self-healing SEO workflows by connecting Mastra AI to the managed Ahrefs MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

Ahrefs MCP on Cursor AI Code Editor MCP Client Ahrefs MCP on Claude Desktop App MCP Integration Ahrefs MCP on OpenAI Agents SDK MCP Compatible Ahrefs MCP on Visual Studio Code MCP Extension Client Ahrefs MCP on GitHub Copilot AI Agent MCP Integration Ahrefs MCP on Google Gemini AI MCP Integration Ahrefs MCP on Lovable AI Development MCP Client Ahrefs MCP on Mistral AI Agents MCP Compatible Ahrefs MCP on Amazon AWS Bedrock MCP Support
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Mastra AI

Connect Ahrefs MCP to Mastra AI

Create your Vinkius account to connect Ahrefs 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.

GDPR Free for Subscribers

Run conditional SEO workflows with Mastra AI

The `get_domain_overview` tool fetches domain rating and traffic metrics to trigger conditional branches inside your Mastra AI execution engine. If a competitor's domain rating drops below a specific threshold, your workflow automatically routes to deeper analysis paths without manual intervention. You initialize the client via `new MCPClient` and register the Ahrefs tools directly into your Mastra agent. The workflow engine handles failures by retrying failed connections, ensuring your automated domain audits run reliably even during API hiccups.

Approve keyword lists in Mastra AI before publishing

The `list_keyword_ideas` tool generates targeted search terms that your Mastra AI workflow filters and formats for human review. By enabling `requireToolApproval` in the framework, the agent pauses execution until you approve the generated keyword cluster. Once you click approve, the workflow passes the approved items to `get_keyword_volume_history` to verify search trends. This ensures your content strategy agents never waste API credits or write articles for dead keywords.

Build self-healing link audit loops with this MCP Server

The `list_broken_backlinks` tool identifies 404 target pages that are draining your site's domain authority. Mastra AI processes this list, matches the broken URLs against your sitemap, and automatically queues redirect tasks in your CMS. Using `get_backlinks_stats` within the same workflow lets the agent prioritize redirects based on the referring page's actual weight. This automated loop keeps your link profile clean without wasting developer hours on manual audits.

Setup guide

Set up Ahrefs 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and inject tools

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

  4. 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: "ahrefs-mcp-client",
  servers: {
    "ahrefs-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Ahrefs. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Ahrefs MCP in Mastra AI

Instantiate the server connection using `new MCPClient` with your Vinkius URL, then call `mcpClient.listTools()`. You can then spread these tools directly into your agent's tool array. The framework automatically detects the transport layer and maps the Ahrefs endpoints for your workflows.
Yes, Mastra AI features a built-in workflow engine that handles automatic retries with exponential backoff. If `get_serp_overview` hits a temporary network glitch, the framework pauses and retries the call before failing the workflow.
You configure the `requireToolApproval` flag on sensitive tools like `list_broken_backlinks` or `get_domain_overview`. This pauses the Mastra agent and waits for a manual confirmation before executing the SEO audit step.
Yes, the client automatically handles both Streamable HTTP and SSE transports out of the box. You only need to supply the Vinkius endpoint URL, and Mastra takes care of the underlying communication protocols.
It does not store them. All domain ratings, search volumes, and backlink lists fetched via the Ahrefs MCP Server pass directly through transient memory buffers. Vinkius runs the integration in a zero-trust, ephemeral sandbox that guarantees your competitive intelligence data is never cached or logged.

Start using the Ahrefs MCP today

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