Serper MCP Server for LlamaIndex 3 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Serper 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 Serper. "
"You have 3 tools available."
),
)
response = await agent.run(
"What tools are available in Serper?"
)
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 Serper MCP Server
Connect your AI agent to Serper.dev — the fastest and most cost-effective way to get Google Search results programmatically.
LlamaIndex agents combine Serper tool responses with indexed documents for comprehensive, grounded answers. Connect 3 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
- Google Search — Get organic search results with titles, links, snippets, and positions. Supports geolocation and language parameters for localized results
- Google News — Search the latest news articles with headlines, sources, publication dates, and snippets
- Google Images — Find image results with URLs, titles, and source pages for visual research
Why Serper?
- 2,500 free searches/month — the most generous free tier for Google SERP APIs
- Sub-100ms latency — fastest Google SERP API available
- Native LangChain/CrewAI integration — the default search tool for most AI frameworks
The Serper MCP Server exposes 3 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 Serper to LlamaIndex via MCP
Follow these steps to integrate the Serper 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 3 tools from Serper
Why Use LlamaIndex with the Serper MCP Server
LlamaIndex provides unique advantages when paired with Serper through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Serper tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Serper tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Serper, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Serper tools were called, what data was returned, and how it influenced the final answer
Serper + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Serper MCP Server delivers measurable value.
Hybrid search: combine Serper real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Serper 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 Serper for fresh data
Analytical workflows: chain Serper queries with LlamaIndex's data connectors to build multi-source analytical reports
Serper MCP Tools for LlamaIndex (3)
These 3 tools become available when you connect Serper to LlamaIndex via MCP:
google_image_search
dev to query Google Images and return structured results including image URLs, titles, and source pages. Useful for visual research, content creation, and reference gathering. Search Google Images for visual content related to any query. Returns image URLs, titles, and sources
google_news_search
dev to query Google News and return the most recent news articles matching your query. Perfect for monitoring breaking news, industry trends, and competitor announcements. Search Google News for the latest articles on any topic. Returns headlines, sources, dates, and snippets
google_search
dev to perform a real-time Google Search and return structured organic results. Supports geolocation (gl) and language (hl) parameters for localized results. Returns up to 100 results per query. Search Google and get organic SERP results instantly. Returns titles, links, snippets, and positions for any query
Example Prompts for Serper in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Serper immediately.
"Search Google for 'best AI agent frameworks 2026' and show me the top 5 results."
"Search the latest news about OpenAI."
"Search Google Images for 'neural network architecture diagram'."
Troubleshooting Serper MCP Server with LlamaIndex
Common issues when connecting Serper to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSerper + LlamaIndex FAQ
Common questions about integrating Serper 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 Serper 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 Serper to LlamaIndex
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.