Serper MCP Server for Pydantic AI 3 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Serper through the 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 Serper "
"(3 tools)."
),
)
result = await agent.run(
"What tools are available in Serper?"
)
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 Serper MCP Server
Connect your AI agent to Serper.dev — the fastest and most cost-effective way to get Google Search results programmatically.
Pydantic AI validates every Serper tool response against typed schemas, catching data inconsistencies at build time. Connect 3 tools through the 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
- Google Search — Get organic search results with titles, links, snippets, and positions. Supports geolocation and language parameters for localized results
- Google News — Search the latest news articles with headlines, sources, publication dates, and snippets
- Google Images — Find image results with URLs, titles, and source pages for visual research
Why Serper?
- 2,500 free searches/month — the most generous free tier for Google SERP APIs
- Sub-100ms latency — fastest Google SERP API available
- Native LangChain/CrewAI integration — the default search tool for most AI frameworks
The Serper MCP Server exposes 3 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 Serper to Pydantic AI via MCP
Follow these steps to integrate the Serper 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 3 tools from Serper with type-safe schemas
Why Use Pydantic AI with the Serper MCP Server
Pydantic AI provides unique advantages when paired with Serper 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 Serper integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Serper connection logic from agent behavior for testable, maintainable code
Serper + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Serper MCP Server delivers measurable value.
Type-safe data pipelines: query Serper with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Serper tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Serper and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Serper responses and write comprehensive agent tests
Serper MCP Tools for Pydantic AI (3)
These 3 tools become available when you connect Serper to Pydantic AI via MCP:
google_image_search
dev to query Google Images and return structured results including image URLs, titles, and source pages. Useful for visual research, content creation, and reference gathering. Search Google Images for visual content related to any query. Returns image URLs, titles, and sources
google_news_search
dev to query Google News and return the most recent news articles matching your query. Perfect for monitoring breaking news, industry trends, and competitor announcements. Search Google News for the latest articles on any topic. Returns headlines, sources, dates, and snippets
google_search
dev to perform a real-time Google Search and return structured organic results. Supports geolocation (gl) and language (hl) parameters for localized results. Returns up to 100 results per query. Search Google and get organic SERP results instantly. Returns titles, links, snippets, and positions for any query
Example Prompts for Serper in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Serper immediately.
"Search Google for 'best AI agent frameworks 2026' and show me the top 5 results."
"Search the latest news about OpenAI."
"Search Google Images for 'neural network architecture diagram'."
Troubleshooting Serper MCP Server with Pydantic AI
Common issues when connecting Serper to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiSerper + Pydantic AI FAQ
Common questions about integrating Serper 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 Serper 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 Serper to Pydantic AI
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.