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 CrewAI 10 tools — connect in under 2 minutes

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

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Moz (SEO Metrics & Link Research) through the Vinkius — pass the Edge URL in the `mcps` parameter and every Moz (SEO Metrics & Link Research) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Moz (SEO Metrics & Link Research) Specialist",
    goal="Help users interact with Moz (SEO Metrics & Link Research) effectively",
    backstory=(
        "You are an expert at leveraging Moz (SEO Metrics & Link Research) tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Moz (SEO Metrics & Link Research) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Moz (SEO Metrics & Link Research) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Moz (SEO Metrics & Link Research) tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 10 tools from Moz (SEO Metrics & Link Research)

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

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Moz (SEO Metrics & Link Research) through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Moz (SEO Metrics & Link Research) + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Moz (SEO Metrics & Link Research) for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Moz (SEO Metrics & Link Research), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Moz (SEO Metrics & Link Research) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Moz (SEO Metrics & Link Research) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

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

These 10 tools become available when you connect Moz (SEO Metrics & Link Research) to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Moz (SEO Metrics & Link Research) + CrewAI FAQ

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

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.