Lusha MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Bulk Enrich Companies, Bulk Enrich Persons, Enrich Company Info, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Lusha 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 Lusha app connector for Pydantic AI is a standout in the Industry Titans category — giving your AI agent 12 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 Lusha "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Lusha?"
)
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 Lusha MCP Server
Connect your Lusha account to any AI agent and take full control of your sales prospecting and data enrichment through natural conversation. Lusha provides a premier B2B database, and this integration allows you to retrieve high-fidelity contact details (email, phone), enrich company metadata, and search for new prospects directly from your chat interface.
Pydantic AI validates every Lusha tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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 & Person Enrichment — Lookup detailed contact metadata programmatically using name, company, or LinkedIn URLs to ensure your CRM is always synchronized.
- Company & Firmographic Intelligence — Access and monitor company data including industry, revenue, and headcount directly from the AI interface to qualify accounts in real-time.
- Prospecting & Search Control — Search for new contacts and companies matching your Ideal Customer Profile (ICP) via natural language to drive better sales efficiency.
- Usage & Credit Oversight — Access granular details for your credit consumption and remaining balance using simple AI commands to maintain a clear overview of your resources.
- Operational Monitoring — Track system responses and manage data ingestion to ensure your sales workflows are always optimized.
The Lusha MCP Server exposes 12 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 12 Lusha tools available for Pydantic AI
When Pydantic AI connects to Lusha through Vinkius, your AI agent gets direct access to every tool listed below — spanning b2b-intelligence, data-enrichment, prospecting, 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 multiple companies
Enrich multiple contacts
Get firmographics
Get contact details
Check connection
Check account balance
Enrich by email
Enrich by LinkedIn
Check API usage
Search for businesses
Search for contacts
Verify API key
Connect Lusha to Pydantic AI via MCP
Follow these steps to wire Lusha 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 Lusha MCP Server
Pydantic AI provides unique advantages when paired with Lusha 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 Lusha integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Lusha connection logic from agent behavior for testable, maintainable code
Lusha + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Lusha MCP Server delivers measurable value.
Type-safe data pipelines: query Lusha with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Lusha tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Lusha and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Lusha responses and write comprehensive agent tests
Example Prompts for Lusha in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Lusha immediately.
"Enrich this contact: John Miller at Acme Corp."
"Search for companies in New York with 500-1000 employees in the SaaS industry."
"Check my Lusha credit balance."
Troubleshooting Lusha MCP Server with Pydantic AI
Common issues when connecting Lusha to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiLusha + Pydantic AI FAQ
Common questions about integrating Lusha 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.