How to Use the Moz (SEO Metrics & Link Research) MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK use Moz (SEO Metrics & Link Research) to find top pages on a competitor site?

Yes. The agent calls gettoppages to query the highest-performing literal pages inside an explicit domain. It sorts them by Page Authority and internal linking metrics.

Q: How does OpenAI Agents SDK handle rate limits with Moz (SEO Metrics & Link Research)?

The agent monitors your quota using the getusage tool. You configure OpenAI guardrails to check this quota before running heavy backlink extraction loops.

Build production-grade SEO agents with OpenAI Agents SDK that pull real Moz Domain Authority and backlink data.

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Connect Moz (SEO Metrics & Link Research) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Moz (SEO Metrics & Link Research) to OpenAI Agents SDK 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 Moz (SEO Metrics & Link Research) with OpenAI Agents SDK

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Map link equity with your OpenAI Agents SDK

Your agent needs hard SEO data, not guesses. The `get_url_metrics` tool hands over actual Domain Authority, Page Authority, and spam scores directly from the Moz API V3 index. You get exact link counts to evaluate target domains. When building a link profile, you want to know who links to your competitors. Your agent runs `get_linking_domains` and `get_top_links` to pull root domains and top-ranked backlinks sorted by DA. You feed this straight into your OpenAI agent handoff pipeline to trigger outreach workflows.

Analyze anchor text distribution

Over-optimized anchor text gets sites penalized. Use `get_anchor_text` to pull the literal anchor text distribution pointing to any domain. Your agent reads this data to check for spam signals before you buy a domain or approve a partnership. It works the other way too. The `get_outgoing_links` tool extracts external links leaving a target site. Your agent maps outbound anchor texts to see if a prospective backlink source operates as a link farm.

Track global SEO metrics via MCP Server

Sometimes you need to benchmark against the best. The `global_top_domains` and `global_top_pages` tools pull static worldwide rankings across the entire web. Your agent uses these metrics to set baseline performance standards for your own assets. API calls cost money. Your OpenAI agent checks `get_usage` to track your running quota and row limits. It stops execution automatically if you hit your billing cap, keeping your production environment safe from surprise invoices.

Setup guide

Set up Moz (SEO Metrics & Link Research) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Moz (SEO Metrics & Link Research) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Moz (SEO Metrics & Link Research) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Moz (SEO Metrics & Link Research) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Moz (SEO Metrics & Link Research) Agent",
            instructions="You have access to Moz (SEO Metrics & Link Research) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Moz. 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 Moz (SEO Metrics & Link Research) MCP in OpenAI Agents SDK

Install the SDK via pip install openai-agents. Create an MCPServerStreamableHttp instance with your endpoint URL and pass it to your agent constructor. Set cacheToolsList=True to speed up tool discovery.

Yes. The agent calls get_top_pages to query the highest-performing literal pages inside an explicit domain. It sorts them by Page Authority and internal linking metrics.

It exposes Domain Authority, Page Authority, and spam scores via get_url_metrics. You also get exact incoming link counts and anchor text distributions.

The agent monitors your quota using the get_usage tool. You configure OpenAI guardrails to check this quota before running heavy backlink extraction loops.

Your client routes specific target domain queries and backlink profiles through a V8 Isolate Sandbox. The Vinkius endpoint token authenticates the session ephemerally. None of your SEO targets are stored after the session dies.

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