Zenserp 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 Zenserp 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="Zenserp Assistant",
instructions=(
"You help users interact with Zenserp. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Zenserp"
)
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 Zenserp MCP Server
Connect your Zenserp account to any AI agent and harness the power of real-time search intelligence through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Zenserp through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Zenserp, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 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 Zenserp to OpenAI Agents SDK via MCP
Follow these steps to integrate the Zenserp 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 Zenserp
Why Use OpenAI Agents SDK with the Zenserp MCP Server
OpenAI Agents SDK provides unique advantages when paired with Zenserp 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
Zenserp + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Zenserp MCP Server delivers measurable value.
Automated workflows: build agents that query Zenserp, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Zenserp, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Zenserp tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Zenserp to resolve tickets, look up records, and update statuses without human intervention
Zenserp MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Zenserp to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Zenserp to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Zenserp + OpenAI Agents SDK FAQ
Common questions about integrating Zenserp 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 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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.