BuiltWith Tech Lookup MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add BuiltWith Tech Lookup as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 BuiltWith Tech Lookup. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in BuiltWith Tech Lookup?"
)
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 BuiltWith Tech Lookup MCP Server
Equip your AI agent with the industry standard for website technology profiling through the BuiltWith MCP server. This integration provides instant access to the technology stack of millions of domains. Your agent can identify the Content Management System (CMS), analytics tools, advertising networks, hosting providers, and JavaScript frameworks used by any website. Whether you are conducting lead qualification, competitive research, or auditing digital infrastructure, your agent acts as a dedicated technical architect through natural conversation.
LlamaIndex agents combine BuiltWith Tech Lookup tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through 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
- Tech Stack Profiling — Retrieve a comprehensive list of all technologies used by a specific domain.
- CMS Detection — Identify if a site is running on WordPress, Shopify, Magento, or other platforms.
- Analytics Auditing — Discover which tracking and data tools are integrated into a website.
- Infrastructure Discovery — Identify hosting, CDN, and security providers for any digital property.
The BuiltWith Tech Lookup MCP Server exposes 8 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 BuiltWith Tech Lookup to LlamaIndex via MCP
Follow these steps to integrate the BuiltWith Tech Lookup 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 8 tools from BuiltWith Tech Lookup
Why Use LlamaIndex with the BuiltWith Tech Lookup MCP Server
LlamaIndex provides unique advantages when paired with BuiltWith Tech Lookup through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine BuiltWith Tech Lookup tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain BuiltWith Tech Lookup tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query BuiltWith Tech Lookup, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what BuiltWith Tech Lookup tools were called, what data was returned, and how it influenced the final answer
BuiltWith Tech Lookup + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the BuiltWith Tech Lookup MCP Server delivers measurable value.
Hybrid search: combine BuiltWith Tech Lookup real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query BuiltWith Tech Lookup 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 BuiltWith Tech Lookup for fresh data
Analytical workflows: chain BuiltWith Tech Lookup queries with LlamaIndex's data connectors to build multi-source analytical reports
BuiltWith Tech Lookup MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect BuiltWith Tech Lookup to LlamaIndex via MCP:
get_domain_company_info
Uses the Company API. Get company information for a domain
get_domain_keywords
Uses the Keywords API. Get keyword profile for a domain
get_domain_relationships
Uses the rv2 Relationships API. Get infrastructure relationships for a domain
get_domain_trust
Uses the Trust API. Get trust indicators for a domain
get_free_domain_profile
Does not consume premium credits. Get basic technology categories for a domain
get_tech_domain_lists
Uses the Lists API. Get lists of domains using a specific technology
get_tech_trends
g., Shopify, React). Uses the v6 Trends API. Get usage trends for a technology
lookup_domain_tech
Uses the v22 Domain API. Lookup complete technology stack for a domain
Example Prompts for BuiltWith Tech Lookup in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with BuiltWith Tech Lookup immediately.
"Lookup the tech stack for 'airbnb.com'."
"Identify the CMS used by 'techcrunch.com'."
"Does 'tesla.com' use any marketing automation tools?"
Troubleshooting BuiltWith Tech Lookup MCP Server with LlamaIndex
Common issues when connecting BuiltWith Tech Lookup to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBuiltWith Tech Lookup + LlamaIndex FAQ
Common questions about integrating BuiltWith Tech Lookup 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 BuiltWith Tech Lookup 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 BuiltWith Tech Lookup to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.