How to Use the Icypeas MCP in Pydantic AI
Use Pydantic AI with Icypeas to enforce strict data validation on your lead generation and email verification workflows.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Icypeas MCP to Pydantic AI
Create your Vinkius account to connect Icypeas to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Type-Safe Lead Retrieval for Pydantic AI
Every response from `list_prospects` or `search_prospects` is validated against your Pydantic models at runtime. If the API returns malformed data, your agent catches the issue immediately instead of proceeding with bad information. This ensures that your agent code remains stable and predictable. You define the schema, and Pydantic AI enforces it, giving you confidence that your lead data is always in the correct format.
Verified Outreach Cycles in Pydantic AI
Integrate `verify_email` into your agents to guarantee that only valid contact data moves forward. Pydantic AI validates the tool output, ensuring your agent logic only processes verified, deliverable email addresses. This prevents silent failures where invalid data might otherwise pollute your downstream systems. You get a clean, validated stream of prospects ready for your sales funnel.
Resource Management for Pydantic AI
Use `get_credits` to check your account status before executing expensive operations. Because Pydantic AI handles the response, you can easily map your credit balance to a typed object in your agent's state. This keeps your application logic clean and avoids unexpected errors during high-volume operations. Your agent stays informed about its capacity, allowing for graceful handling of credit limits.
Set up Icypeas 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": {
"icypeas-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Icypeas tools.",
)
result = await agent.run("List recent Icypeas 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 Icypeas. 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 Icypeas MCP in Pydantic AI
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