Scale SERP MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Scale SERP as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Scale SERP. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Scale SERP?"
)
print(response)
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 Scale SERP MCP Server
Connect Scale SERP to any AI agent to unlock the full power of real-time Google search data. Enable your AI to browse the web intelligently without worrying about anti-bot measures or complex scraping logic.
LlamaIndex agents combine Scale SERP tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Comprehensive Web Search — Execute real-time Google queries across text, images, videos, and news localized to specific geographic regions
- E-commerce & Local — Scrape Google Shopping results for pricing data or Google Places for local business intelligence
- Research & SEO — Run predictive auto-complete lookups, extract "People Also Ask" related questions, and pull scholarly articles via Google Scholar
- Advanced Customization — Pass raw JSON options to emulate exact languages, devices, or custom search parameters directly from your agent
The Scale SERP MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex 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 Scale SERP to LlamaIndex via MCP
Follow these steps to integrate the Scale SERP MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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 Scale SERP
Why Use LlamaIndex with the Scale SERP MCP Server
LlamaIndex provides unique advantages when paired with Scale SERP through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Scale SERP tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Scale SERP tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Scale SERP, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Scale SERP tools were called, what data was returned, and how it influenced the final answer
Scale SERP + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Scale SERP MCP Server delivers measurable value.
Hybrid search: combine Scale SERP real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Scale SERP to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Scale SERP for fresh data
Analytical workflows: chain Scale SERP queries with LlamaIndex's data connectors to build multi-source analytical reports
Scale SERP MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Scale SERP to LlamaIndex via MCP:
custom_search
Performs a highly customized Google search
google_autocomplete
Retrieves Google search autocomplete suggestions
google_images
Searches for images on Google
google_news
Searches for news articles on Google News
google_organic
You can specify a query and an optional geographic location. Performs a standard Google organic search
google_places
Searches for places and local businesses on Google Maps
google_related_questions
Retrieves "People Also Ask" questions from Google
google_scholar
Searches for scholarly articles and research papers
google_shopping
Searches for products on Google Shopping
google_videos
Searches for videos on Google
Example Prompts for Scale SERP in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Scale SERP immediately.
"Run a Google Scholar search for 'machine learning in agriculture' and summarize the top 3 papers."
"Find restaurants near Times Square via Google Places."
"Search Google for 'best CRM tools'."
Troubleshooting Scale SERP MCP Server with LlamaIndex
Common issues when connecting Scale SERP to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpScale SERP + LlamaIndex FAQ
Common questions about integrating Scale SERP MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Scale SERP 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 Scale SERP to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.