How to Use the Snov.io MCP in Pydantic AI
Build correct agents that find contacts using Pydantic AI and Snov.io.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
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
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
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
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