Captain Data MCP Server for Pydantic AI 11 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Captain Data through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Captain Data "
"(11 tools)."
),
)
result = await agent.run(
"What tools are available in Captain Data?"
)
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 Captain Data MCP Server
Connect your Captain Data account to any AI agent and orchestrate your lead generation, market research, and data enrichment workflows through natural conversation.
Pydantic AI validates every Captain Data tool response against typed schemas, catching data inconsistencies at build time. Connect 11 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
- People Discovery — Find specific professionals by name and company, or search by job titles and locations.
- Profile Enrichment — Retrieve detailed LinkedIn profile data, including contact information and career history, using UIDs or URLs.
- Company Research — Find companies by name or domain and retrieve deep firmographic data.
- Automation Oversight — List and monitor automation jobs and workflows directly from your workspace.
- Quota Management — Retrieve real-time API quotas and usage statistics to ensure your operations are on track.
- Data Retrieval — Access extracted data from previous jobs using natural language.
The Captain Data MCP Server exposes 11 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 Captain Data to Pydantic AI via MCP
Follow these steps to integrate the Captain Data 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 11 tools from Captain Data with type-safe schemas
Why Use Pydantic AI with the Captain Data MCP Server
Pydantic AI provides unique advantages when paired with Captain Data 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 Captain Data integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Captain Data connection logic from agent behavior for testable, maintainable code
Captain Data + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Captain Data MCP Server delivers measurable value.
Type-safe data pipelines: query Captain Data with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Captain Data tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Captain Data and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Captain Data responses and write comprehensive agent tests
Captain Data MCP Tools for Pydantic AI (11)
These 11 tools become available when you connect Captain Data to Pydantic AI via MCP:
enrich_company
Get deep firmographic data for a company
enrich_person
Get detailed profile data for a person using their UID or LinkedIn URL
find_company
Find a company by name or domain
find_people
Find a specific person by full name and optionally company name
get_account_info
Retrieve core account information
get_api_quotas
Retrieve current API quotas and usage
get_job_details
Get status and extracted data for a specific job
list_automation_jobs
List all automation jobs
list_workflows
List all configured workflows
search_companies
Search for companies by industry, size, or location
search_people
Search for people based on criteria like job title or location
Example Prompts for Captain Data in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Captain Data immediately.
"Find people with the name 'Satya Nadella' at 'Microsoft'."
"Search for companies in the 'Software' industry located in 'California'."
"Enrich the company profile for the domain 'vinkius.com'."
Troubleshooting Captain Data MCP Server with Pydantic AI
Common issues when connecting Captain Data to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiCaptain Data + Pydantic AI FAQ
Common questions about integrating Captain Data 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.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Captain Data with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Captain Data to Pydantic AI
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.