BuiltWith Tech Lookup MCP Server for Pydantic AI 8 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect BuiltWith Tech Lookup through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to BuiltWith Tech Lookup "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in BuiltWith Tech Lookup?"
)
print(result.data)
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.
Pydantic AI validates every BuiltWith Tech Lookup tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the BuiltWith Tech Lookup MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
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 with type-safe schemas
Why Use Pydantic AI with the BuiltWith Tech Lookup MCP Server
Pydantic AI provides unique advantages when paired with BuiltWith Tech Lookup through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your BuiltWith Tech Lookup integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your BuiltWith Tech Lookup connection logic from agent behavior for testable, maintainable code
BuiltWith Tech Lookup + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the BuiltWith Tech Lookup MCP Server delivers measurable value.
Type-safe data pipelines: query BuiltWith Tech Lookup with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple BuiltWith Tech Lookup tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query BuiltWith Tech Lookup and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock BuiltWith Tech Lookup responses and write comprehensive agent tests
BuiltWith Tech Lookup MCP Tools for Pydantic AI (8)
These 8 tools become available when you connect BuiltWith Tech Lookup to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting BuiltWith Tech Lookup to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiBuiltWith Tech Lookup + Pydantic AI FAQ
Common questions about integrating BuiltWith Tech Lookup MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.