ContactOut MCP Server for Pydantic AIGive Pydantic AI instant access to 7 tools to Enrich Company, Enrich Contact, Find Email By Linkedin, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect ContactOut 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 ContactOut app connector for Pydantic AI is a standout in the Sales Automation category — giving your AI agent 7 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 ContactOut "
"(7 tools)."
),
)
result = await agent.run(
"What tools are available in ContactOut?"
)
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 ContactOut MCP Server
Connect your ContactOut account to any AI agent to streamline your B2B lead generation and talent acquisition workflows through natural conversation. ContactOut provides a powerful intelligence layer for discovering verified contact information and enriching professional profiles at scale.
Pydantic AI validates every ContactOut tool response against typed schemas, catching data inconsistencies at build time. Connect 7 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
- Contact Discovery Orchestration — Instantly retrieve verified email addresses and direct phone numbers using LinkedIn profile URLs programmatically
- Professional Enrichment — Enrich contact and company data with detailed attributes, including job titles, locations, and social links to maintain a high-fidelity CRM
- Deep Semantic Search — Programmatically search the ContactOut database of 300M+ people using advanced filters for skills, titles, and locations
- Identity Resolution — Find the LinkedIn profile associated with a specific email address to perfectly coordinate your multichannel outreach
- Administrative Visibility — Programmatically track your credit balance and API usage statistics to coordinate your recruitment and sales budgets
The ContactOut MCP Server exposes 7 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 7 ContactOut tools available for Pydantic AI
When Pydantic AI connects to ContactOut through Vinkius, your AI agent gets direct access to every tool listed below — spanning contact-discovery, email-enrichment, talent-acquisition, 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.
Enrich company data
Enrich contact data
Find email by LinkedIn profile
Find LinkedIn profile by email
Get API usage statistics
Search for companies
Search for people
Connect ContactOut to Pydantic AI via MCP
Follow these steps to wire ContactOut 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 ContactOut MCP Server
Pydantic AI provides unique advantages when paired with ContactOut 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 ContactOut integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your ContactOut connection logic from agent behavior for testable, maintainable code
ContactOut + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the ContactOut MCP Server delivers measurable value.
Type-safe data pipelines: query ContactOut with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple ContactOut tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query ContactOut and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock ContactOut responses and write comprehensive agent tests
Example Prompts for ContactOut in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with ContactOut immediately.
"Find the contact email for this LinkedIn profile: https://www.linkedin.com/in/williamhgates"
"Search for 'Python' developers in 'London' with at least 5 years of experience."
"Check my current API credit balance on ContactOut."
Troubleshooting ContactOut MCP Server with Pydantic AI
Common issues when connecting ContactOut to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiContactOut + Pydantic AI FAQ
Common questions about integrating ContactOut 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.