How to Use the Captain Data MCP in Pydantic AI

Q: How do I add Captain Data to my Pydantic AI agent?

Install the pydantic-ai-slimmcp package and initialize the MCPToolset with the Vinkius URL. It adds the tools to your agent's registry.

Use Captain Data with Pydantic AI to get type-safe, validated lead insights directly in your Python agents.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Captain Data MCP to Pydantic AI

Create your Vinkius account to connect Captain Data 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.

GDPR Free for Subscribers

Setup Captain Data with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Type-Safe Enrichment for Pydantic AI

Every response from `enrich_person` is validated against your Pydantic models. If the API returns garbage, your agent catches it before it breaks your logic. This makes your Pydantic AI agent rock solid. You define the schema, and the MCP Server ensures the data fits perfectly every single time.

Runtime Validation for Pydantic AI Agents

Use `find_company` to fetch data that gets parsed immediately. Pydantic AI will throw a validation error if the response doesn't match your expected types. This stops silent failures cold. You get reliable data for your lead scoring, and your agent stays clean and predictable.

Tool-Driven Discovery in Pydantic AI

Call `list_automation_jobs` to keep your agent informed. Since Pydantic AI forces strict typing, you'll always know exactly what status data you're dealing with. This keeps your agent's state machine consistent. You aren't guessing about the shape of the data returned by this MCP Server.

Setup guide

Set up Captain Data 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 deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with 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 call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "captain-data-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Captain Data tools.",
)

result = await agent.run("List recent Captain Data transactions")
print(result.output)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Captain Data. 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.

Connect Captain Data now

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 Captain Data MCP in Pydantic AI

Install the pydantic-ai-slim[mcp] package and initialize the MCPToolset with the Vinkius URL. It adds the tools to your agent's registry.

It does. Because the server returns structured JSON, Pydantic AI validates every field against your models instantly.

The agent will fail with a clear validation error. This prevents corrupted data from polluting your downstream logic.

Yes, you can register all 11 tools. Your agent will pick the right one based on the task, and each will be checked for type safety.

Security is handled at the transport layer. We use standard HTTP/SSE with unique endpoint tokens, ensuring only your Pydantic AI agent can read your extracted company records.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript