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 Pydantic AI 8 tools — connect in under 2 minutes

Name: Snov.io
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Snov.io through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Snov.io "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Snov.io?"
    )
    print(result.data)

asyncio.run(main())

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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.

Pydantic AI validates every Snov.io tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Snov.io MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

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 8 tools from Snov.io with type-safe schemas

Why Use Pydantic AI with the Snov.io MCP Server

Pydantic AI provides unique advantages when paired with Snov.io through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Snov.io integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Snov.io connection logic from agent behavior for testable, maintainable code

Snov.io + Pydantic AI Use Cases

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

Type-safe data pipelines: query Snov.io with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Snov.io tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Snov.io and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Snov.io responses and write comprehensive agent tests

Snov.io MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Snov.io to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Snov.io to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Snov.io + Pydantic AI FAQ

Common questions about integrating Snov.io MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Snov.io MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.