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 CrewAI 3 tools — connect in under 2 minutes

Name: Serper
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 3 Tools Framework

Connect your CrewAI agents to Serper through Vinkius, pass the Edge URL in the `mcps` parameter and every Serper tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="Serper Specialist",
    goal="Help users interact with Serper effectively",
    backstory=(
        "You are an expert at leveraging Serper tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Serper "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 3 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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IAMAccess control

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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.

When paired with CrewAI, Serper becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Serper tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 3 tools from Serper

Why Use CrewAI with the Serper MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Serper through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Serper + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Serper for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Serper, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Serper tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Serper against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Serper MCP Tools for CrewAI (3)

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

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

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Serper + CrewAI FAQ

Common questions about integrating Serper MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.