ValueSERP 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 ValueSERP 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 ValueSERP "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in ValueSERP?"
)
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 ValueSERP MCP Server
Connect your ValueSERP account to any AI agent and integrate highly scalable, reliable, and real-time Google search data parsing into your conversational flow, bypassing CAPTCHAs and blocks.
Pydantic AI validates every ValueSERP 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
- Comprehensive Google Search — Perform rapid programmatic queries across Google Organic, Images, News, Videos, and Scholar straight from your agent's interface.
- E-Commerce & Local SEO — Access raw Google Places and Google Shopping data to analyze competitor margins, finding ratings, coordinates, and product price shifts.
- Intent Discovery — Retrieve predictive Google Autocomplete suggestions and 'People Also Ask' related snippets to understand semantic search behavior.
- Advanced SERP Queries — Execute highly customized parameter inputs targeting specific granular geolocation bounds (gl), language codes (hl), and synthetic device overrides.
The ValueSERP 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 ValueSERP to Pydantic AI via MCP
Follow these steps to integrate the ValueSERP 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 ValueSERP with type-safe schemas
Why Use Pydantic AI with the ValueSERP MCP Server
Pydantic AI provides unique advantages when paired with ValueSERP 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 ValueSERP integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your ValueSERP connection logic from agent behavior for testable, maintainable code
ValueSERP + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the ValueSERP MCP Server delivers measurable value.
Type-safe data pipelines: query ValueSERP with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple ValueSERP tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query ValueSERP and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock ValueSERP responses and write comprehensive agent tests
ValueSERP MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect ValueSERP to Pydantic AI via MCP:
custom_serp_search
Provide parameters as a JSON object. Executes a highly customized Google search with advanced parameters
get_related_questions
Retrieves "People Also Ask" questions and answers from Google
get_search_suggestions
Retrieves predictive search suggestions from Google autocomplete
google_image_search
Returns direct URLs to image files. Searches for images on Google
google_news_search
Searches for news articles on Google
google_places_search
Provide a place name and location. Searches for local businesses and places on Google Maps
google_scholar_search
Searches for academic publications and abstracts on Google Scholar
google_search
Provide a query string and optional location. Performs a standard Google search for organic results
google_shopping_search
Returns product names, prices, and merchant links. Searches for products and prices on Google Shopping
google_video_search
Searches for video content on Google
Example Prompts for ValueSERP in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with ValueSERP immediately.
"Search Google Scholar for recent papers on 'quantum computing error correction'."
"Find the top business ratings for 'pizza places in Chicago' using Google Places."
"Check Google Autocomplete suggestions when someone types 'how to start a'."
Troubleshooting ValueSERP MCP Server with Pydantic AI
Common issues when connecting ValueSERP to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiValueSERP + Pydantic AI FAQ
Common questions about integrating ValueSERP 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 ValueSERP 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 ValueSERP to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.