FindThatLead MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Create Lead, Delete Lead, Domain Search, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect FindThatLead through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The FindThatLead app connector for Pydantic AI is a standout in the Marketing Automation category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 FindThatLead "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in FindThatLead?"
)
print(result.data)
asyncio.run(main())
* 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 FindThatLead MCP Server
Connect your FindThatLead account to any AI agent and take full control of your B2B lead discovery and email verification workflows through natural conversation.
Pydantic AI validates every FindThatLead 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
- Domain Intelligence — Find all email addresses associated with any company domain programmatically and retrieve detailed contact metadata
- Email Discovery — Locate specific professional email addresses using a person's first name, last name, and company domain directly through your agent
- High-Fidelity Verification — Programmatically verify the validity and deliverability of any email address using a multi-step verification algorithm
- Prospecting Automation — Perform local business searches by keyword and location to discover new leads and automate your outreach pipeline
- Campaign Monitoring — Access your saved lead lists and outreach campaigns programmatically to monitor engagement and acquisition progress
The FindThatLead 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.
All 12 FindThatLead tools available for Pydantic AI
When Pydantic AI connects to FindThatLead through Vinkius, your AI agent gets direct access to every tool listed below — spanning email-discovery, prospecting, b2b-sales, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Save a new lead
Remove a lead
Find emails for a domain
Find email for a specific person
Verify an email address
Get account details
Get account usage stats
Get campaign details
Get lead details
List email campaigns
List saved leads
Find local business leads
Connect FindThatLead to Pydantic AI via MCP
Follow these steps to wire FindThatLead into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the FindThatLead MCP Server
Pydantic AI provides unique advantages when paired with FindThatLead 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 FindThatLead integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your FindThatLead connection logic from agent behavior for testable, maintainable code
FindThatLead + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the FindThatLead MCP Server delivers measurable value.
Type-safe data pipelines: query FindThatLead with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple FindThatLead tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query FindThatLead and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock FindThatLead responses and write comprehensive agent tests
Example Prompts for FindThatLead in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with FindThatLead immediately.
"Find all emails for the domain 'stripe.com'."
"Verify if 'test@example.com' is a valid email."
"Find the email for 'John Doe' at 'acme.com'."
Troubleshooting FindThatLead MCP Server with Pydantic AI
Common issues when connecting FindThatLead to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiFindThatLead + Pydantic AI FAQ
Common questions about integrating FindThatLead MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.