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AI agents are everywhere. But without reliable data, even the smartest AI can fall short of what’s needed.
That’s where Similarweb comes in.
We’re launching the Similarweb MCP server. So you and your AI agents can now access Similarweb data at scale.
And it integrates with popular LLMs and AI tools like Cursor, Claude, n8n, Zapier, and more.
Check out the demo below.
Why are we doing this?
Our clients have told us the same story again and again. AI agents are exciting, but they can’t be trusted without the right data.
The result? Your AI agents can instantly analyze market trends, benchmark competitors, identify growth opportunities, and generate data-backed recommendations with deeper context.
Read on and we’ll explain what this means for your own AI workflows.
Remember how you used to have a box of different cables – a different one for every device.
Well, MCP is like the USB socket that tidied that all up.
Unlike a general API, MCP focuses on providing the AI with data and context and how to use them. Often, this can be done through natural language descriptions.
It standardizes how AI agents can discover, understand, and interact with external services dynamically. As a result, AI systems become more autonomous, adaptable, and efficient in leveraging external resources.
Here are some examples of what you can now do with Similarweb’s MCP integration.
MCP (Model Context Protocol) opens the door to countless possibilities, whether you’re a developer building custom apps or a marketer experimenting with no-code tools.
Here are just a few ways you can start using our MCP integration to put Similarweb Digital Data at the center of your AI workflows:
The result: your AI will be analyzing, tracking, and delivering insights that matter as they happen.
Want to experiment quickly or build something custom? Either way, there’s a clear path to getting started.
Check out our documentation. Or make a call to our MCP server and test its response.
Setup is straightforward: authenticate once, run your queries, and embed Similarweb data into your apps, workflows, or client-facing tools.
With our MCP, both beginners and builders can bring trusted insights into their AI workflows right away.
The fastest way to try it is through tools like Claude or Zapier, where you simply connect your Similarweb API key.
Setup takes minutes; no coding is required. Then, you can start asking your AI assistant for market insights and answers powered by Similarweb data.
We also have examples for Claude, Cursor, Base44, and n8n, with ChatGPT support coming later this year.
The launch of our MCP server is just the beginning.
In the months ahead, we’re expanding support with more examples.
Better still, more integrations will be added later this year. So it will be even easier to seamlessly access Similarweb insights into your prompts and GPTs.
What does it mean in practice? This is for:
Set up takes minutes. Connect your API key today and start building agents that know rather than just guess.
What is the Similarweb MCP server?
The Similarweb MCP (Model Context Protocol) server is a new way to bring trusted Similarweb data directly into AI agents and workflows. It lets AI systems access traffic, keyword, competitor, and audience insights at scale without manual setup or switching products.
How does MCP improve AI agents?
Most AI agents struggle with context and reliable data. With MCP, Similarweb provides structured access to digital intelligence so agents can analyze market trends, benchmark competitors, surface growth opportunities, and deliver insights in real time. This makes AI systems more accurate, adaptable, and useful in practice.
Which platforms does the Similarweb MCP integrate with?
The MCP server integrates with leading Large Language Models (LLMs) and AI platforms, including Claude, Cursor, Base44, and n8n. It also works with no-code automation products like Zapier, and support for ChatGPT is coming later this year.
What are real-world use cases for Similarweb MCP?
With Similarweb MCP, you can:

Pavel leads Product Marketing for Similarweb's Data-as-a-Service, bringing over a decade of experience in Adtech and Marketing to the role. Outside of work, Pavel enjoys long walks and mountain biking.
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