SimilarWeb Analytics MCP Server for OpenAI Agents SDK 3 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect SimilarWeb Analytics through 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="SimilarWeb Analytics Assistant",
instructions=(
"You help users interact with SimilarWeb Analytics. "
"You have access to 3 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from SimilarWeb Analytics"
)
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 SimilarWeb Analytics MCP Server
Equip your AI agent with the industry standard for digital market intelligence through the SimilarWeb MCP server. This integration provides real-time access to website traffic and engagement data. Your agent can retrieve monthly desktop visits, global traffic ranks, and category-specific ranks for any domain. Whether you are conducting competitive analysis, researching investment opportunities, or auditing digital properties, your agent acts as a dedicated market analyst through natural conversation.
The OpenAI Agents SDK auto-discovers all 3 tools from SimilarWeb Analytics through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries SimilarWeb Analytics, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Traffic Auditing — Retrieve historical monthly desktop visit data for any website domain.
- Competitive Benchmarking — Compare global and category ranks between multiple websites.
- Market Analysis — Identify industry leaders and rising stars in specific web categories.
- Growth Tracking — Monitor traffic trends over time to identify seasonal spikes or long-term growth.
The SimilarWeb Analytics MCP Server exposes 3 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 SimilarWeb Analytics to OpenAI Agents SDK via MCP
Follow these steps to integrate the SimilarWeb Analytics 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 3 tools from SimilarWeb Analytics
Why Use OpenAI Agents SDK with the SimilarWeb Analytics MCP Server
OpenAI Agents SDK provides unique advantages when paired with SimilarWeb Analytics 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
SimilarWeb Analytics + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the SimilarWeb Analytics MCP Server delivers measurable value.
Automated workflows: build agents that query SimilarWeb Analytics, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries SimilarWeb Analytics, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through SimilarWeb Analytics tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query SimilarWeb Analytics to resolve tickets, look up records, and update statuses without human intervention
SimilarWeb Analytics MCP Tools for OpenAI Agents SDK (3)
These 3 tools become available when you connect SimilarWeb Analytics to OpenAI Agents SDK via MCP:
get_category_rank
Get category rank for a domain
get_desktop_visits
Get monthly desktop visits for a domain
get_global_rank
Get global rank for a domain
Example Prompts for SimilarWeb Analytics in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with SimilarWeb Analytics immediately.
"What is the global rank of techcrunch.com?"
"Compare the traffic of 'github.com' and 'gitlab.com'."
"Find the category rank for 'netflix.com'."
Troubleshooting SimilarWeb Analytics MCP Server with OpenAI Agents SDK
Common issues when connecting SimilarWeb Analytics to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
SimilarWeb Analytics + OpenAI Agents SDK FAQ
Common questions about integrating SimilarWeb Analytics 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 SimilarWeb Analytics 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 SimilarWeb Analytics to OpenAI Agents SDK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.