How do I get my ZoomInfo API credentials?

You need a **ZoomInfo Enterprise plan** with API access enabled. Log in as an admin user. Navigate to **Admin → Integrations → API**. Click **Generate Credentials** to create your **Client ID** and **Client Secret**. Copy both values and paste them below. Note: API access requires admin approval — if you don't see the API section, contact your ZoomInfo account manager.

Can my AI agent find VP-level contacts at specific companies?

Yes. Ask 'Find all VP-level contacts at Salesforce in Engineering' and get verified names, titles, emails, direct dial numbers, and LinkedIn profiles — ready for immediate outreach without any data cleanup.

Can I enrich my existing CRM contacts with ZoomInfo data?

Yes. Provide an email or company name and ZoomInfo returns the latest verified data — including updated job titles, phone numbers, company revenue, employee count, and tech stack. Perfect for cleaning stale CRM records before outreach campaigns.

Is intent data available through the API?

Yes, if your ZoomInfo plan includes Intent Data. Your AI agent can query which companies are actively researching topics related to your product — giving your sales team a warm lead signal before prospects even visit your website.

ZoomInfo MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: ZoomInfo
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect ZoomInfo through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 ZoomInfo "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in ZoomInfo?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 ZoomInfo MCP Server

Connect ZoomInfo to your AI agent and access the world's largest B2B contact and company intelligence database conversationally.

Pydantic AI validates every ZoomInfo tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through the 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 Search — Find decision-makers by job title, seniority level, department, company, and location.
Company Intelligence — Pull firmographic data including revenue, employee count, industry, and technology stack.
Data Enrichment — Enrich existing CRM records with ZoomInfo's verified contact and company data.
Intent Data — Identify companies showing buying signals and research intent for your product category.

The ZoomInfo MCP Server exposes 8 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 ZoomInfo to Pydantic AI via MCP

Follow these steps to integrate the ZoomInfo 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 8 tools from ZoomInfo with type-safe schemas

Why Use Pydantic AI with the ZoomInfo MCP Server

Pydantic AI provides unique advantages when paired with ZoomInfo 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 ZoomInfo integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your ZoomInfo connection logic from agent behavior for testable, maintainable code

ZoomInfo + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the ZoomInfo MCP Server delivers measurable value.

Type-safe data pipelines: query ZoomInfo with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple ZoomInfo tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query ZoomInfo and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock ZoomInfo responses and write comprehensive agent tests

ZoomInfo MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect ZoomInfo to Pydantic AI via MCP:

enrich_company

Enrich company

enrich_contact

Enrich contact

get_company_news

Get company news

get_usage

Get API usage

list_intent_topics

List intent topics

search_companies

Search companies

search_contacts

Search contacts

search_intent

Search intent signals

Example Prompts for ZoomInfo in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with ZoomInfo immediately.

"Find CTOs at SaaS companies with 50-200 employees in San Francisco."

"Enrich the contact record for sarah@acme.com."

"Which companies are showing buying intent for 'marketing automation'?"

Troubleshooting ZoomInfo MCP Server with Pydantic AI

Common issues when connecting ZoomInfo to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

ZoomInfo + Pydantic AI FAQ

Common questions about integrating ZoomInfo MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an 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?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your ZoomInfo MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.