Apollo.io MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Add To Sequence, Enrich Company Data, Enrich Person Data, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Apollo.io 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 Apollo.io app connector for Pydantic AI is a standout in the Growth Engine 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 Apollo.io "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Apollo.io?"
)
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 Apollo.io MCP Server
Connect your Apollo.io account to any AI agent and take full control of your B2B prospecting and sales engagement workflows through natural conversation.
Pydantic AI validates every Apollo.io 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
- Prospect Orchestration — Search through a massive database of professionals by title, location, and company domains programmatically in real-time
- Data Enrichment Intelligence — Programmatically retrieve verified email addresses, phone numbers, and high-fidelity social metadata for any contact or company
- Sequence Lifecycle Management — Enroll qualified leads into automated email sequences and monitor your sales outreach pipeline directly through your agent
- Company Architecture — Access deep firmographic data, including revenue, headcount, and technology stacks to maintain a perfectly coordinated account strategy
- Operational Monitoring — Track your remaining search and enrichment credits and monitor API connectivity directly through your agent for instant reporting
The Apollo.io 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 Apollo.io tools available for Pydantic AI
When Pydantic AI connects to Apollo.io through Vinkius, your AI agent gets direct access to every tool listed below — spanning b2b-data, prospecting, lead-enrichment, 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.
Enroll contact in sequence
Get company metadata
Get full profile details
Get API and account status
Get usage and credits
Get contact by ID
Get sender accounts
List email sequences
List your contacts
List account users
Find organizations
Find prospects
Connect Apollo.io to Pydantic AI via MCP
Follow these steps to wire Apollo.io 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 Apollo.io MCP Server
Pydantic AI provides unique advantages when paired with Apollo.io 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 Apollo.io integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Apollo.io connection logic from agent behavior for testable, maintainable code
Apollo.io + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Apollo.io MCP Server delivers measurable value.
Type-safe data pipelines: query Apollo.io with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Apollo.io tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Apollo.io and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Apollo.io responses and write comprehensive agent tests
Example Prompts for Apollo.io in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Apollo.io immediately.
"Find the 'VP of Engineering' at 'vinkius.com'."
"Show the tech stack and revenue for 'apple.com'."
"Enroll contact '123' into sales sequence '456'."
Troubleshooting Apollo.io MCP Server with Pydantic AI
Common issues when connecting Apollo.io to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiApollo.io + Pydantic AI FAQ
Common questions about integrating Apollo.io 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.