How many free searches do I get?

Serper offers 2,500 free searches per month — no credit card required. This includes Google Search, News, and Images queries. Paid plans start at $50/month for 50,000 searches with additional volume discounts.

Can I get results for specific countries and languages?

Yes! Serper supports geolocation (gl parameter) and language (hl parameter) for all search types. For example, set gl='br' and hl='pt' for Brazilian Portuguese results, or gl='fr' and hl='fr' for French results. This works for Search, News, and Images endpoints.

What types of search results are available?

Serper provides three search types: organic web results (with titles, links, snippets, and knowledge panels), Google News (with headlines, sources, dates), and Google Images (with image URLs and source pages). All results include structured metadata for easy parsing.

Serper MCP Server for LangChain 3 tools — connect in under 2 minutes

Name: Serper
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 3 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Serper through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "serper": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Serper, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Serper through native MCP adapters. Connect 3 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Serper MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 3 tools from Serper via MCP

Why Use LangChain with the Serper MCP Server

LangChain provides unique advantages when paired with Serper through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Serper MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Serper queries for multi-turn workflows

Serper + LangChain Use Cases

Practical scenarios where LangChain combined with the Serper MCP Server delivers measurable value.

RAG with live data: combine Serper tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Serper, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Serper tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Serper tool call, measure latency, and optimize your agent's performance

Serper MCP Tools for LangChain (3)

These 3 tools become available when you connect Serper to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Serper to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Serper + LangChain FAQ

Common questions about integrating Serper MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.