SERPHouse MCP Server for AutoGen 11 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add SERPHouse as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="serphouse_agent",
tools=tools,
system_message=(
"You help users with SERPHouse. "
"11 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use SERPHouse tools. Connect 11 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
The SERPHouse MCP Server exposes 11 tools through the Vinkius. Connect it to AutoGen 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 AutoGen via MCP
Follow these steps to integrate the SERPHouse MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 11 tools from SERPHouse automatically
Why Use AutoGen with the SERPHouse MCP Server
AutoGen provides unique advantages when paired with SERPHouse through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use SERPHouse tools to solve complex tasks
Role-based architecture lets you assign SERPHouse tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive SERPHouse tool calls
Code execution sandbox: AutoGen agents can write and run code that processes SERPHouse tool responses in an isolated environment
SERPHouse + AutoGen Use Cases
Practical scenarios where AutoGen combined with the SERPHouse MCP Server delivers measurable value.
Collaborative analysis: one agent queries SERPHouse while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from SERPHouse, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using SERPHouse data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process SERPHouse responses in a sandboxed execution environment
SERPHouse MCP Tools for AutoGen (11)
These 11 tools become available when you connect SERPHouse to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting SERPHouse to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"SERPHouse + AutoGen FAQ
Common questions about integrating SERPHouse MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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 AutoGen
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.