What is the difference between DA and PA in Moz?

Domain Authority (DA) predicts how well a whole website will rank, while Page Authority (PA) predicts the ranking potential of a single page. Your agent can retrieve both metrics using the `get_url_metrics` tool to guide your SEO strategy.

How do I check the anchor text distribution for my backlinks?

Use the `get_anchor_text` tool with your target domain. Your agent will retrieve a mapped list of terms and their occurrence counts, helping you identify if your link profile looks natural or over-optimized for specific keywords.

Can my agent find the best pages on a competitor's site?

Absolutely. Use the `get_top_pages` tool with the competitor's domain. Your agent will return a list of their highest-authority pages, allowing you to see which content pieces are attracting the most link equity.

Moz (SEO Metrics & Link Research) MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Moz (SEO Metrics & Link Research)
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Moz (SEO Metrics & Link Research) through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Moz (SEO Metrics & Link Research) "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Moz (SEO Metrics & Link Research)?"
    )
    print(result.data)

asyncio.run(main())

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* 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 Moz (SEO Metrics & Link Research) MCP Server

Connect your Moz API account to any AI agent and take full control of your search engine optimization, link research, and competitive intelligence through natural conversation.

Pydantic AI validates every Moz (SEO Metrics & Link Research) tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Authority Orchestration — Retrieve precise Domain Authority (DA) and Page Authority (PA) scores for any URL or root domain to understand ranking potential directly from your agent
Backlink Audit — List incoming and outgoing links for specific domains, extracting source URLs, anchor texts, and equity boundaries to identify high-value linking opportunities
Competitive Intelligence — Compare multiple target domains simultaneously to retrieve side-by-side metrics including spam scores and literal link counts securely
Anchor Text Analysis — Extract the literal distribution of anchor text across your backlink profile to understand semantic density and keyword relevance natively
Top Pages Discovery — Query the most internally and externally linked pages within a domain, sorted by Page Authority, to identify high-equity content assets
Global Web Rankings — Access globally tracked lists of top root domains and pages based on Moz's massive link index to benchmark against industry leaders
Usage Monitoring — Track your API row consumption and remaining quotas in real-time to manage your research budget and avoid automated service halts

The Moz (SEO Metrics & Link Research) MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic 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 Moz (SEO Metrics & Link Research) to Pydantic AI via MCP

Follow these steps to integrate the Moz (SEO Metrics & Link Research) MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Moz (SEO Metrics & Link Research) with type-safe schemas

Why Use Pydantic AI with the Moz (SEO Metrics & Link Research) MCP Server

Pydantic AI provides unique advantages when paired with Moz (SEO Metrics & Link Research) through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Moz (SEO Metrics & Link Research) integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Moz (SEO Metrics & Link Research) connection logic from agent behavior for testable, maintainable code

Moz (SEO Metrics & Link Research) + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Moz (SEO Metrics & Link Research) MCP Server delivers measurable value.

Type-safe data pipelines: query Moz (SEO Metrics & Link Research) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Moz (SEO Metrics & Link Research) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Moz (SEO Metrics & Link Research) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Moz (SEO Metrics & Link Research) responses and write comprehensive agent tests

Moz (SEO Metrics & Link Research) MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Moz (SEO Metrics & Link Research) to Pydantic AI via MCP:

get_anchor_text

Analyze literal anchor text distribution matching backlinks that point to an explicit domain

get_incoming_links

Get explicit incoming backlinks hitting a specific domain mapping Moz API link index

get_linking_domains

Get summarized root linking domains hitting specific bounds

get_outgoing_links

Get explicit outgoing external links originating from a target mapping outbound anchor texts

get_top_links

Get explicitly top-ranked backlinks mapped directly onto a domain sorted primarily by Domain Authority

get_top_pages

Query top-performing literal pages existing inside an explicit domain sorted by highest internal linking/PA

get_url_metrics

0 metrics defining explicitly domain rankings and literal link equity boundaries. Get Moz API V3 Domain Authority (DA) Page Authority (PA) spam scoring and mapped exact link counts

get_usage

Check running quota tracking for current Moz API rows

global_top_domains

Extract static global Top root Domains evaluating worldwide highest DA metrics

global_top_pages

Extract static global Top Pages across entire web indexed by Moz metric systems

Example Prompts for Moz (SEO Metrics & Link Research) in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Moz (SEO Metrics & Link Research) immediately.

"Get Moz metrics for 'moz.com' and 'ahrefs.com'"

"List the top 5 incoming links for 'stripe.com' sorted by authority"

"Show me the anchor text distribution for 'vercel.com'"

Troubleshooting Moz (SEO Metrics & Link Research) MCP Server with Pydantic AI

Common issues when connecting Moz (SEO Metrics & Link Research) to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Moz (SEO Metrics & Link Research) + Pydantic AI FAQ

Common questions about integrating Moz (SEO Metrics & Link Research) MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Moz (SEO Metrics & Link Research) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.