Connect
Optimize
Secure
Live 20 Actions
Semrush MCP Server
for AI Agents
Connect your AI agent to StackOne's Semrush MCP server and give it 20 MCP tools out of the box. Auth, tool execution, and security all managed.
Semrush MCP Server
Built by 
StackOne
StackOne 
Coverage
20 Agent Actions
Create, read, update, and delete across Semrush — and extend your agent's capabilities with custom actions.
Authentication
Agent Tool Authentication
Per-user OAuth in one call. Your Semrush MCP server gets session-scoped tokens with zero credentials stored on your infra.
Agent Auth →
Security
Agent Protection
Every Semrush tool response scanned for prompt injection in milliseconds — 88.7% accuracy, all running on CPU.
Prompt Injection Defense →
Performance
Max Agent Context. Min Cost.
Free up to 96% of your agent's context window to enhance reasoning and reduce cost, on every Semrush call.
Tools Discovery →What is the Semrush MCP Server?
A Semrush MCP server lets AI agents read and write Semrush data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's Semrush MCP server ships with 20 pre-built actions, fully extensible via the Connector Builder — plus managed authentication, prompt injection defense, observability, and agent execution runtime. Connect it from MCP clients like Claude Desktop, Claude Code, Cursor, Goose, and VS Code, or from agent frameworks like OpenAI Agents SDK, LangChain, and Vercel AI SDK.
All Semrush MCP Tools
Every action from Semrush's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.
Projects
- List Projects
List all projects in the Semrush account.
- Get Project
Get details of a specific project by ID.
Other (18)
- Get Domain Overview
Get overview metrics for a domain across all regional databases.
- Get Domain Rank
Get domain ranking data in a specific regional database.
- List Domain Organic Keywords
List keywords that bring users to a domain via Google's top 100 organic search results.
- List Domain Paid Keywords
List keywords a domain has bid on in paid search results over the last 12 months.
- List Domain Organic Competitors
List domains competing with the specified domain in organic search.
- List Domain Paid Competitors
List domains competing with the specified domain in paid search.
- Get Keyword Overview
Get keyword overview across all regional databases.
- Get Keyword Overview (Single Database)
Get keyword overview in a specific regional database.
- List Keyword Organic Results
List domains ranking in Google's top 100 organic results for a keyword.
- List Related Keywords
List related keywords for a given keyword.
- Get Keyword Difficulty
Get keyword difficulty index for up to 100 keywords.
- Get Backlinks Overview
Get backlinks overview summary for a domain, root domain, or URL.
- List Backlinks
List backlinks pointing to a domain, root domain, or URL.
- List Referring Domains
List referring domains linking to the target.
- Get Traffic Summary
Get traffic summary for up to 200 domains.
- Get Traffic Sources
Get traffic sources breakdown for a domain.
- Get Traffic Top Pages
Get top pages by traffic for a domain.
- Get API Units Balance
Get the remaining API units balance for the authenticated account.
Semrush AI Agent Use Cases
Connect your AI agent to Semrush and help your team scale the marketing operations they run by hand today.
Lead Nurture Sequences
Use StackOne to connect your AI agent to your marketing automation, CRM, and email tools to automate lead nurture email sequences.
View Campaign Performance Reports
Use StackOne to connect your AI agent to your marketing automation, email, and analytics platforms to automate campaign performance reporting.
View Content Repurposing
Use StackOne to connect your AI agent to your document stores, email platforms, and messaging tools to automate content repurposing and distribution.
ViewSet Up Your Semrush MCP Server in Minutes
One endpoint. Any framework. Your agent is talking to Semrush in under 10 lines of code.
Agent Frameworks
JSON{
"mcpServers": {
"stackone": {
"command": "npx",
"args": [
"-y",
"mcp-remote@latest",
"https://api.stackone.com/mcp?x-account-id=<account_id>",
"--header",
"Authorization: Basic <YOUR_BASE64_TOKEN>"
]
}
}
}Check More Data & Analytics MCP Servers
Smartsheet
189+ actions
Tableau
122+ actions
SurveyMonkey
104+ actions
Microsoft Excel
102+ actions
Qlik
101+ actions
Snowflake
80+ actions
ZoomInfo
73+ actions
Platform Resources
MCP Code Mode: Keeping Tool Responses Out of Agent Context
Anthropic's code_execution processes data already in context. Custom MCP code mode keeps raw tool responses in a sandbox. 14K tokens vs 500.
11 min
Comparing BM25, TF-IDF, and Hybrid Search for MCP Tool Discovery
Benchmarking BM25, TF-IDF, and hybrid search for MCP tool discovery across 916 tools. The 80/20 TF-IDF/BM25 hybrid hits 21% Top-1 accuracy in under 1ms.
10 min
Indirect Prompt Injection Defense for MCP Tools: A Technical Guide
MCP tools that read emails, CRM records, and tickets are indirect prompt injection vectors. Here's how we built a two-tier defense that scans tool results in ~11ms.
12 min
MCP vs A2A: Architecture, Security, and When to Use Each
MCP vs A2A: what each protocol standardizes, how they differ, their shared security risks including indirect prompt injection, and when to use one, both, or a hybrid architecture.
12 min
MCP vs API: What 200+ Connector Builds Taught Us
MCP wraps APIs, it doesn't replace them. After building 200+ connectors that serve both, here's when each approach wins.
14 min read
Semrush MCP Server FAQ
Does StackOne have a Semrush MCP server?
Yes. StackOne offers a hosted Semrush MCP server with 20 pre-built actions, and every action is tested and QA'd by StackOne. Connect it to Claude, Cursor, and any other MCP client, or to any agent framework through the AI Action SDK. It ships with managed agent authentication, prompt injection defense, and tool discovery with server-side execution that preserve your agent's context window and keep reasoning performance.
Semrush MCP server vs direct API integration — what's the difference?
A Semrush MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling Semrush. A Semrush MCP server is for AI agents — MCP clients like Claude and Cursor, plus framework agents built with OpenAI, LangChain, or Vercel AI — discovering and calling Semrush at runtime. StackOne provides both.
How does Semrush authentication work for AI agents?
Semrush authentication for AI agents works through a StackOne Connect Session. Create one via the dashboard or the SDK — you get an auth link and ready-to-paste config for Claude Desktop, Cursor, and other MCP clients. Your user authenticates their own Semrush account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via
origin_owner_id.Are Semrush MCP tools vulnerable to prompt injection?
Yes — Semrush MCP tools can be vulnerable to indirect prompt injection. Any tool that reads user-written content — documents, messages, tickets, records, or free-text fields — is a potential vector. StackOne Defender scans every tool response before it enters the agent's context — regex patterns in ~1ms, then a MiniLM classifier in ~4ms. 88.7% accuracy, CPU-only.
What is the context bloat of a Semrush agent and how do I avoid it?
Context bloat happens when Semrush tool schemas and API responses eat your Semrush agent's memory, preventing it from reasoning effectively. A single Semrush query can return a massive JSON response, and connecting multiple tools compounds the problem. Tools Discovery and Code Mode reduce context bloat — loading only relevant tools per query and keeping raw responses out of the agent's context.
Can I limit which actions my Semrush agent can access?
Yes — you can limit which actions your Semrush agent can access directly from the StackOne dashboard. Toggle actions on or off, or restrict them to specific accounts, with no code changes to your agent. Session tokens can be scoped to exact actions so if one leaks, exposure stays contained.
Can I create custom agent actions for my Semrush MCP server?
Yes — you can create custom agent actions for your Semrush MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research Semrush's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a Semrush MCP server?
Skip a Semrush MCP server if your integration is purely software-to-software — direct Semrush API integration is simpler when no AI agent is involved. For deterministic, compliance-critical operations (financial transactions, regulatory reporting), direct API gives you predictable behavior without agent-driven decision-making. MCP shines when AI agents need to dynamically discover and call Semrush actions at runtime.
What AI frameworks and AI clients does the StackOne Semrush MCP server support?
The StackOne Semrush MCP server supports both. MCP clients (paste-and-go apps): Claude Desktop, Claude Code, Cursor, VS Code, Goose. Agent frameworks (code SDKs you build with): OpenAI Agents SDK, Anthropic, Vercel AI, Google ADK, CrewAI, Pydantic AI, LangChain, LangGraph, Azure AI Foundry.
Put your AI agents to work
All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.