How does Findymail ensure the accuracy of the found emails?

Findymail uses a proprietary verification engine that checks the deliverability of B2B emails in real-time. By using the 'verify_email' tool, you can double-check any address to ensure your bounce rate stays below 1%.

Can I search for leads using natural language like 'Founders in San Francisco'?

Yes! The 'search_leads' tool uses the Intellimatch engine, allowing you to discover companies and contacts based on conversational queries. It's like having a lead researcher built into your AI agent.

What happens if a phone number or email cannot be found?

If Findymail cannot locate a verified contact, the tool will return a null or empty status. Findymail only charges credits for successful finds, ensuring you only pay for data you can actually use.

Findymail MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Name: Findymail
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Findymail 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 Findymail "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Findymail?"
    )
    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 Findymail MCP Server

Connect your Findymail account to any AI agent and supercharge your sales prospecting and data enrichment workflows through the power of the Model Context Protocol (MCP). Findymail is designed for high-growth sales teams that need accurate, verified contact data without the manual grind of searching through LinkedIn or guessing email patterns.

Pydantic AI validates every Findymail tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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

Precision Email Finding — Instantly retrieve verified B2B emails by providing a person's name and their company domain or name. No more guessing; get data that actually delivers.
Real-time Email Verification — Protect your sender reputation by verifying any email address before it hits your outreach sequence. Our verification tool checks for deliverability in seconds.
Direct Phone Discovery — Scale your cold calling efforts by fetching direct phone numbers directly from LinkedIn profiles using our specialized phone finder tool.
Deep Company Enrichment — Transform a simple domain or LinkedIn URL into a full company profile, including industry data, size, and social identifiers.
Intellimatch Lead Generation — Use natural language to discover new leads. Simply ask your agent to 'Find SaaS founders in the US' or 'Get me marketing heads in London', and let Findymail do the heavy lifting.
List & Contact Management — Organically manage your prospecting lists and retrieve specific contact details to keep your CRM updated and your outreach personalized.
Credit Monitoring — Keep a pulse on your API usage with built-in tools to check your remaining credits and usage summaries directly from your AI conversation.

The Findymail MCP Server exposes 12 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 Findymail to Pydantic AI via MCP

Follow these steps to integrate the Findymail 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 12 tools from Findymail with type-safe schemas

Why Use Pydantic AI with the Findymail MCP Server

Pydantic AI provides unique advantages when paired with Findymail 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 Findymail integration code

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

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

Findymail + Pydantic AI Use Cases

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

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

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

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

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

Findymail MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect Findymail to Pydantic AI via MCP:

create_contact_list

Create a new contact list

enrich_company

Enrich company data

find_email

Find a verified email address

find_phone

Find direct phone numbers

get_contact

Get contact details

get_credits

Check credit balance

get_credits_summary

Get credits usage summary

get_lead_search_data

Get lead search results

get_lead_search_status

Check lead search status

list_contact_lists

List all contact lists

search_leads

Find companies and contacts

verify_email

Verify an email address

Example Prompts for Findymail in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Findymail immediately.

"Find the verified email for Satya Nadella at microsoft.com"

"Enrich company data for the domain 'vinkius.com'"

"Search for 'marketing agency owners in New York' using Intellimatch."

Troubleshooting Findymail MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Findymail + Pydantic AI FAQ

Common questions about integrating Findymail 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 Findymail MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.