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 LlamaIndex 10 tools — connect in under 2 minutes

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

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Moz (SEO Metrics & Link Research) as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Moz (SEO Metrics & Link Research). "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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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.

LlamaIndex agents combine Moz (SEO Metrics & Link Research) tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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)

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

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

Data-first architecture: LlamaIndex agents combine Moz (SEO Metrics & Link Research) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Moz (SEO Metrics & Link Research) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Moz (SEO Metrics & Link Research), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Moz (SEO Metrics & Link Research) tools were called, what data was returned, and how it influenced the final answer

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

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

Hybrid search: combine Moz (SEO Metrics & Link Research) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Moz (SEO Metrics & Link Research) to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Moz (SEO Metrics & Link Research) for fresh data

Analytical workflows: chain Moz (SEO Metrics & Link Research) queries with LlamaIndex's data connectors to build multi-source analytical reports

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

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

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

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Moz (SEO Metrics & Link Research) + LlamaIndex FAQ

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

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Moz (SEO Metrics & Link Research) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.