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Vinkius

Icypeas MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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

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 Icypeas "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())
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About Icypeas MCP Server

Empower your AI agents to build and verify your lead database with Icypeas. This MCP server allows you to list prospects, search for specific leads, manage prospect lists, verify email deliverability, and find contact information directly through the Icypeas API. Ideal for automating sales outreach and lead enrichment.

Pydantic AI validates every Icypeas tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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.

The Icypeas MCP Server exposes 10 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 Icypeas to Pydantic AI via MCP

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

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from Icypeas with type-safe schemas

Why Use Pydantic AI with the Icypeas MCP Server

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

01

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

02

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

03

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

04

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

Icypeas + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Icypeas MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Icypeas to Pydantic AI via MCP:

01

find_email

Finds an email address for a specific person at a domain

02

get_account

Gets your Icypeas account details

03

get_campaign

Retrieves details for a specific campaign

04

get_credits

Gets your remaining account credits

05

get_prospect_list

Retrieves details for a specific prospect list

06

list_campaigns

Lists all outreach campaigns

07

list_prospect_lists

Lists all prospect lists

08

list_prospects

Lists all prospects

09

search_prospects

Searches for prospects with filters

10

verify_email

Verifies the deliverability of an email address

Example Prompts for Icypeas in Pydantic AI

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

01

"List all prospects in my 'Tech Startup' list."

02

"Verify if the email 'john@example.com' is deliverable."

03

"Find the email for Jane Doe at stripe.com."

Troubleshooting Icypeas MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Icypeas + Pydantic AI FAQ

Common questions about integrating Icypeas MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

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

Connect Icypeas to Pydantic AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.