SERPHouse MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect SERPHouse 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="SERPHouse Assistant",
instructions=(
"You help users interact with SERPHouse. "
"You have access to 11 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from SERPHouse"
)
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 SERPHouse MCP Server
Equip your AI assistant with the ultimate crawler module engineered for unbridled search engine access. The SERPHouse MCP integration overcomes the constraints of offline AI knowledge by granting direct, proxy-rotated querying power over Google and Bing endpoints. Seamlessly transform your agent into a high-performance web discovery engine without triggering Captcha blocks.
The OpenAI Agents SDK auto-discovers all 11 tools from SERPHouse through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries SERPHouse, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
The SERPHouse MCP Server exposes 11 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 SERPHouse to OpenAI Agents SDK via MCP
Follow these steps to integrate the SERPHouse 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 11 tools from SERPHouse
Why Use OpenAI Agents SDK with the SERPHouse MCP Server
OpenAI Agents SDK provides unique advantages when paired with SERPHouse 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
SERPHouse + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the SERPHouse MCP Server delivers measurable value.
Automated workflows: build agents that query SERPHouse, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries SERPHouse, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through SERPHouse tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query SERPHouse to resolve tickets, look up records, and update statuses without human intervention
SERPHouse MCP Tools for OpenAI Agents SDK (11)
These 11 tools become available when you connect SERPHouse to OpenAI Agents SDK via MCP:
bing_images
Searches for images on Bing
bing_news
Searches for news on Bing
bing_search
Performs a search on Bing
get_account_info
Retrieves SERPHouse account information
google_images
Searches for images on Google
google_news
Searches for news on Google
google_scholar
Searches for scholarly articles on Google Scholar
google_search
Supports advanced parameters like "location" and "lang". Performs a search on Google
google_shopping
Searches for products on Google Shopping
google_videos
Searches for videos on Google
list_locations
Lists supported locations for SERP queries
Example Prompts for SERPHouse in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with SERPHouse immediately.
"Run a targeted Google Scholar query aimed at finding recent papers on 'quantum consciousness theory' focusing on latest available years."
"Search Bing News locally from a generic 'United Kingdom' location tag to see the latest headlines on economic metrics."
Troubleshooting SERPHouse MCP Server with OpenAI Agents SDK
Common issues when connecting SERPHouse to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
SERPHouse + OpenAI Agents SDK FAQ
Common questions about integrating SERPHouse 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 SERPHouse 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 SERPHouse to OpenAI Agents SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.