Zenserp MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Zenserp 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 Zenserp "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Zenserp?"
)
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 Zenserp MCP Server
Connect your Zenserp account to any AI agent and harness the power of real-time search intelligence through natural conversation.
Pydantic AI validates every Zenserp tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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
- Organic Search — Retrieve structured organic results from Google, Bing, Yandex, and DuckDuckGo including titles, URLs, and snippets
- Image Discovery — Find high-quality images and retrieve direct source or thumbnail URLs across the major search engines
- Local Intelligence — Search Google Maps for business listings, physical addresses, ratings, and reviews for any location
- News Monitoring — Retrieve breaking stories and current articles from Google News with precise timestamps and source metadata
- E-commerce Auditing — Compare product prices and availability by scraping Google Shopping results into structured JSON
- Video Search — Find indexed videos across various platforms through Google Video and YouTube search tools
- Geographic Precision — Execute searches with specific location parameters (e.g., 'New York, NY') to see localized results
The Zenserp MCP Server exposes 10 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 Zenserp to Pydantic AI via MCP
Follow these steps to integrate the Zenserp 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 10 tools from Zenserp with type-safe schemas
Why Use Pydantic AI with the Zenserp MCP Server
Pydantic AI provides unique advantages when paired with Zenserp 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 Zenserp integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Zenserp connection logic from agent behavior for testable, maintainable code
Zenserp + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Zenserp MCP Server delivers measurable value.
Type-safe data pipelines: query Zenserp with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Zenserp tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Zenserp and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Zenserp responses and write comprehensive agent tests
Zenserp MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Zenserp to Pydantic AI via MCP:
search_bing
Retrieves organic search results from Microsoft Bing
search_duckduckgo
Retrieves organic search results from DuckDuckGo
search_google
Provide a query string and optional location (e.g. "New York,NY"). Retrieves organic search results from Google
search_images
Retrieves image search results from Google
search_maps
Retrieves local business listings and reviews from Google Maps
search_news
Returns articles with titles, snippets, and timestamps. Retrieves current news articles from Google News
search_shopping
Retrieves product prices and availability from Google Shopping
search_videos
Retrieves video search results from Google Video search
search_yandex
Retrieves search results from the Yandex search engine
search_youtube
Retrieves search results directly from the YouTube platform
Example Prompts for Zenserp in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Zenserp immediately.
"Search Google for 'best CRM software for small business' and show me the top 5 organic results."
"Find restaurants in 'Austin, TX' using Google Maps and show their ratings."
"What are the current news headlines for 'generative AI'?"
Troubleshooting Zenserp MCP Server with Pydantic AI
Common issues when connecting Zenserp to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiZenserp + Pydantic AI FAQ
Common questions about integrating Zenserp 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 Zenserp 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 Zenserp to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.