How do I get my Snov.io API credentials?

Log in to your Snov.io account at **app.snov.io**. Click your **profile avatar** (top right corner). Select the **API** tab. Your **User ID** and **API Secret** are displayed on this page. Copy both values and paste them into the configuration fields below. Free plans include 50 credits/month.

Can I find all emails at a specific company domain?

Yes. Ask your agent 'Find all emails at acme.com' and it returns a list of verified business emails with names, job titles, confidence scores, and the email pattern used at that domain.

Can I set up drip campaigns through the AI agent?

Yes. Your agent can create drip campaigns, add recipients, configure follow-up sequences, and monitor delivery statuses — complete email automation from a single conversation.

Does Snov.io have a free plan?

Yes. Snov.io offers a free trial with 50 credits per month, enough for basic email finding and verification. The API works identically on all plans — credits are the only difference. Upgrade for higher volumes.

Snov.io MCP Server for CrewAI 8 tools — connect in under 2 minutes

Name: Snov.io
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to Snov.io through Vinkius, pass the Edge URL in the `mcps` parameter and every Snov.io 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="Snov.io Specialist",
    goal="Help users interact with Snov.io effectively",
    backstory=(
        "You are an expert at leveraging Snov.io 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 Snov.io "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 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 Snov.io MCP Server

Connect Snov.io to your AI agent and manage your email finder, verifier, and drip campaign platform conversationally.

When paired with CrewAI, Snov.io becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Snov.io 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

Email Finder — Find professional emails by domain, name, or company with confidence scores.
Email Verifier — Validate email addresses before outreach to protect your sender reputation.
Drip Campaigns — Create and manage automated email drip sequences with follow-ups.
Prospect Lists — Build, manage, and export prospect lists with verified contact data.

The Snov.io MCP Server exposes 8 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 Snov.io to CrewAI via MCP

Follow these steps to integrate the Snov.io 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 8 tools from Snov.io

Why Use CrewAI with the Snov.io MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Snov.io 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

Snov.io + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Snov.io 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 Snov.io, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Snov.io 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 Snov.io against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Snov.io MCP Tools for CrewAI (8)

These 8 tools become available when you connect Snov.io to CrewAI via MCP:

add_prospect

io list. Add prospect

domain_search

Domain email search

email_finder

Find email

email_verifier

Verify emails

get_balance

io credits. Get credit balance

get_prospect_by_email

Get prospect

list_prospect_lists

List prospect lists

tech_checker

Check domain technologies

Example Prompts for Snov.io in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Snov.io immediately.

"Find all emails at shopify.com."

"Verify if alex@oldcompany.com is still deliverable."

"Find the email for Sarah Kim at Notion."

Troubleshooting Snov.io MCP Server with CrewAI

Common issues when connecting Snov.io 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.

Snov.io + CrewAI FAQ

Common questions about integrating Snov.io 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.