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 LangChain 10 tools — connect in under 2 minutes

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

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Moz (SEO Metrics & Link Research) through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "moz-seo-metrics-link-research": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Moz (SEO Metrics & Link Research), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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.

LangChain's ecosystem of 500+ components combines seamlessly with Moz (SEO Metrics & Link Research) through native MCP adapters. Connect 10 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Moz (SEO Metrics & Link Research) via MCP

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

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

The largest ecosystem of integrations, chains, and agents — combine Moz (SEO Metrics & Link Research) MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Moz (SEO Metrics & Link Research) queries for multi-turn workflows

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

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

RAG with live data: combine Moz (SEO Metrics & Link Research) tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Moz (SEO Metrics & Link Research), synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Moz (SEO Metrics & Link Research) tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Moz (SEO Metrics & Link Research) tool call, measure latency, and optimize your agent's performance

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

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

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

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Moz (SEO Metrics & Link Research) + LangChain FAQ

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

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.