Semrush MCP Server for Google ADK 8 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Semrush as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="semrush_agent",
instruction=(
"You help users interact with Semrush "
"using 8 available tools."
),
tools=[mcp_tools],
)
* 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 Semrush MCP Server
Equip your conversational workflow with the raw data power of Semrush, the industry standard for Digital Marketing visibility. Through this server, your AI can pull immense amounts of SERP forensics directly into the context window. Stop switching tabs to look up keyword difficulty—just command your agent to fetch it seamlessly.
Google ADK natively supports Semrush as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- Deep Domain Forensics (Competitors) — Query
domain_overviewordomain_vs_domainto tell your agent to digest the exact organic search volume differences between you and a rival - Keyword Strategy Building — Hand a seed topic to the LLM and invoke
related_keywords. The AI will compile comprehensive editorial briefs loaded with actual search volumes and CPCs - Backlink Auditing — Track the inbound link profile (
get_backlinks) of external domains to gauge authority natively within chat sessions - Technical SEO Interrogation — Quickly bring your technical
site_auditscore to the AI, asking it to explain what the flagged errors mean and draft instructions to fix missing metadata
The Semrush MCP Server exposes 8 tools through the Vinkius. Connect it to Google ADK 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 Semrush to Google ADK via MCP
Follow these steps to integrate the Semrush MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 8 tools from Semrush via MCP
Why Use Google ADK with the Semrush MCP Server
Google ADK provides unique advantages when paired with Semrush through the Model Context Protocol.
Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Semrush
Production-ready features like session management, evaluation, and deployment come built-in — not bolted on
Seamless integration with Google Cloud services means you can combine Semrush tools with BigQuery, Vertex AI, and Cloud Functions
Semrush + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Semrush MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Semrush and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Semrush tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Semrush regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Semrush
Semrush MCP Tools for Google ADK (8)
These 8 tools become available when you connect Semrush to Google ADK via MCP:
domain_overview
Specify the database (e.g., "us", "uk") if targeting a specific region. Get domain SEO overview: rank, organic traffic, paid traffic
domain_vs_domain
Compare two domains SEO side by side
get_backlinks
Get backlink overview for a domain
keyword_overview
Get keyword metrics: volume, CPC, competition, SERP features
organic_keywords
Useful for competitor analysis or performance tracking. Get domain organic keyword positions
related_keywords
Ideal for content planning and SEO expansion. Get related keywords with volume and difficulty
site_audit
Requires a valid Semgrep project ID. Get site audit quality overview for a project
traffic_analytics
Get traffic analytics: visits, bounce rate, pages/visit
Example Prompts for Semrush in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Semrush immediately.
"Pull the foundational organic ranking and paid traffic overview for the domain 'airbnb.com'. Target the US database."
"Find 10 related keywords for the term 'buy mechanical keyboard' including their respective difficulties and search volumes."
"Compare the overarching inbound domain performance between 'coca-cola.com' and 'pepsi.com'."
Troubleshooting Semrush MCP Server with Google ADK
Common issues when connecting Semrush to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkSemrush + Google ADK FAQ
Common questions about integrating Semrush MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Semrush with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Semrush to Google ADK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.