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How to Use the Snov.io MCP in Pydantic AI

Build correct agents that find contacts using Pydantic AI and Snov.io.

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Works with every AI agent you already use

…and any MCP-compatible client

Snov.io MCP on Cursor AI Code Editor MCP Client Snov.io MCP on Claude Desktop App MCP Integration Snov.io MCP on OpenAI Agents SDK MCP Compatible Snov.io MCP on Visual Studio Code MCP Extension Client Snov.io MCP on GitHub Copilot AI Agent MCP Integration Snov.io MCP on Google Gemini AI MCP Integration Snov.io MCP on Lovable AI Development MCP Client Snov.io MCP on Mistral AI Agents MCP Compatible Snov.io MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Pydantic AI

Connect Snov.io MCP to Pydantic AI

Create your Vinkius account to connect Snov.io to Pydantic AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Find potential emails quickly

The `email_finder` tool helps your agent extract emails from any known domain. It's a crucial step when you only have the company name and need to build a contact list. Since Pydantic AI enforces strict data types, you can trust that the output structure of this MCP Server call is exactly what you expect.

Automate lead capture via MCP Server

When your agent finds a new contact, use `add_prospect` to log them immediately. This tool takes disparate data points and formalizes them into a single prospect record in Snov.io. The process is type-safe: the resulting data structure is validated against Pydantic models before your code even sees it.

Get detailed contact records

The `get_prospect_by_email` tool lets you retrieve full prospect details using just an email. This gives context that simple search queries miss, allowing for better targeting. Because of Pydantic AI's validation layer, the data returned is guaranteed to match the required schema, eliminating runtime surprises.

Setup guide

Set up Snov.io MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Pydantic AI with FastMCP

    Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.

  2. 2

    Configure the FastMCPToolset

    Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.

  3. 3

    Create and run your agent

    Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "snovio-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Snov.io tools.",
)

result = await agent.run("List recent Snov.io transactions")
print(result.output)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Snov.io. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Snov.io MCP in Pydantic AI

Run `email_verifier` through your agent. It checks the addresses for validity, providing a clean list of only deliverable contacts. This keeps your downstream systems running smoothly.
You use `get_balance` to see the remaining credits in Snov.io. The structured output from this MCP Server call makes tracking usage straightforward for your agent.
Yep, `list_prospect_lists` lets the agent see what data sets already exist within Snov.io. This helps scope out where your next batch of research should focus.
The `tech_checker` tool handles that. It tells you what kind of tech is running on the site, giving you insight into the company's digital footprint.
This server touches prospect list and email address data types. Your agent processes this raw contact information to perform its functions.

Start using the Snov.io MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 8 tools

We've already built the connector for Snov.io. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 8 tools are live and waiting. You're up and running in seconds.

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