How to Use the Apollo.io MCP in Pydantic AI

Q: Can Pydantic AI retrieve my Apollo.io call records?

The getcall tool fetches specific conversation details by ID. Your agent maps the returned JSON into a strict Python class for downstream processing.

Q: How does the agent know which email account to use?

Running listemailaccounts provides an array of active sender profiles. The framework forces the LLM to select a valid ID from that specific list before drafting a message.

Type-safe Apollo.io sales actions for your Pydantic AI agents.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Apollo.io MCP to Pydantic AI

Create your Vinkius account to connect Apollo.io to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Apollo.io with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Enforce strict schemas on Apollo.io data

Sales intelligence APIs return massive, nested JSON payloads. Connecting this MCP Server means every response from `search_contacts` gets validated against your Pydantic models before the agent ever sees it. Silent failures destroy autonomous sales workflows. If the API returns a missing email field when you call `get_contact`, the framework throws a loud validation error instead of hallucinating a fake address.

Execute sequences with guaranteed types

You cannot afford malformed requests when dealing with outbound messaging. When your system triggers `add_contact_to_sequence`, the framework ensures the contact ID and sequence ID match the exact types required. Model-agnostic design gives you flexibility. You use a fast local model to parse through `list_sequences`, then switch to a larger reasoning model to decide which campaign fits the prospect.

Map complex organizations via MCP Server

B2B sales requires accurate firmographic context. Your agent uses `search_organizations` to pull employee counts, revenue bands, and industry tags with absolute structural certainty. Combine this with internal data securely. The agent checks your existing records, fires `search_people` to find missing executives, and formats the output perfectly for your CRM ingestion pipeline.

Setup guide

Set up Apollo.io MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "apolloio-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Apollo.io tools.",
)

result = await agent.run("List recent Apollo.io transactions")
print(result.output)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Apollo.io. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Apollo.io now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Apollo.io MCP in Pydantic AI

Install the slim package with MCP support. You instantiate an MCPToolset with your Vinkius HTTP endpoint and pass it to your Agent's toolsets array.

The framework moved to a unified MCPToolset approach to simplify external connections. This handles both Streamable HTTP and SSE transports under a single clean interface.

The `get_call` tool fetches specific conversation details by ID. Your agent maps the returned JSON into a strict Python class for downstream processing.

Running `list_email_accounts` provides an array of active sender profiles. The framework forces the LLM to select a valid ID from that specific list before drafting a message.

We execute the integration through a managed, zero-trust sandbox. When your MCP agent pulls executive names, direct phone numbers, or corporate email addresses, the V8 Isolate processes the request ephemerally and leaves no persistent trace on our servers.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript