ValueSERP MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ValueSERP through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="ValueSERP Assistant",
instructions=(
"You help users interact with ValueSERP. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from ValueSERP"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 10 tools from ValueSERP through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ValueSERP, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the ValueSERP MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from ValueSERP
Why Use OpenAI Agents SDK with the ValueSERP MCP Server
OpenAI Agents SDK provides unique advantages when paired with ValueSERP through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
ValueSERP + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the ValueSERP MCP Server delivers measurable value.
Automated workflows: build agents that query ValueSERP, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries ValueSERP, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through ValueSERP tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query ValueSERP to resolve tickets, look up records, and update statuses without human intervention
ValueSERP MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect ValueSERP to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting ValueSERP to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
ValueSERP + OpenAI Agents SDK FAQ
Common questions about integrating ValueSERP MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.