SimilarWeb Analytics MCP Server for LlamaIndex 3 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add SimilarWeb Analytics as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to SimilarWeb Analytics. "
"You have 3 tools available."
),
)
response = await agent.run(
"What tools are available in SimilarWeb Analytics?"
)
print(response)
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.
LlamaIndex agents combine SimilarWeb Analytics tool responses with indexed documents for comprehensive, grounded answers. Connect 3 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the SimilarWeb Analytics MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 3 tools from SimilarWeb Analytics
Why Use LlamaIndex with the SimilarWeb Analytics MCP Server
LlamaIndex provides unique advantages when paired with SimilarWeb Analytics through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine SimilarWeb Analytics tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain SimilarWeb Analytics tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query SimilarWeb Analytics, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what SimilarWeb Analytics tools were called, what data was returned, and how it influenced the final answer
SimilarWeb Analytics + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the SimilarWeb Analytics MCP Server delivers measurable value.
Hybrid search: combine SimilarWeb Analytics real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query SimilarWeb Analytics to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying SimilarWeb Analytics for fresh data
Analytical workflows: chain SimilarWeb Analytics queries with LlamaIndex's data connectors to build multi-source analytical reports
SimilarWeb Analytics MCP Tools for LlamaIndex (3)
These 3 tools become available when you connect SimilarWeb Analytics to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting SimilarWeb Analytics to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSimilarWeb Analytics + LlamaIndex FAQ
Common questions about integrating SimilarWeb Analytics MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.