Moz (SEO Metrics & Link Research) MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Moz (SEO Metrics & Link Research) through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Moz (SEO Metrics & Link Research) Assistant",
instructions=(
"You help users interact with Moz (SEO Metrics & Link Research). "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Moz (SEO Metrics & Link Research)"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 10 tools from Moz (SEO Metrics & Link Research) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Moz (SEO Metrics & Link Research), another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Moz (SEO Metrics & Link Research) MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Moz (SEO Metrics & Link Research)
Why Use OpenAI Agents SDK with the Moz (SEO Metrics & Link Research) MCP Server
OpenAI Agents SDK provides unique advantages when paired with Moz (SEO Metrics & Link Research) through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Moz (SEO Metrics & Link Research) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Moz (SEO Metrics & Link Research) MCP Server delivers measurable value.
Automated workflows: build agents that query Moz (SEO Metrics & Link Research), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Moz (SEO Metrics & Link Research), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Moz (SEO Metrics & Link Research) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Moz (SEO Metrics & Link Research) to resolve tickets, look up records, and update statuses without human intervention
Moz (SEO Metrics & Link Research) MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Moz (SEO Metrics & Link Research) to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Moz (SEO Metrics & Link Research) to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Moz (SEO Metrics & Link Research) + OpenAI Agents SDK FAQ
Common questions about integrating Moz (SEO Metrics & Link Research) MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Moz (SEO Metrics & Link Research) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Moz (SEO Metrics & Link Research) to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
