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Customers.ai MCP Server for Pydantic AIGive Pydantic AI instant access to 8 tools to Add Tag To Contact, Get Contact, List Xray Leads, and more

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Customers.ai 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 Customers.ai app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 8 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 Customers.ai "
            "(8 tools)."
        ),
    )

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

asyncio.run(main())
Customers.ai
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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 Customers.ai MCP Server

Connect your Customers.ai (formerly MobileMonkey) account to any AI agent and take full control of your automated messaging and B2B identity resolution workflows through natural conversation.

Pydantic AI validates every Customers.ai tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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 Orchestration — List and search your contact database programmatically, retrieving detailed metadata from identity resolution pipelines like X-Ray Pixel
  • Multichannel Engagement — Programmatically dispatch plain text or high-fidelity JSON messages (including galleries and buttons) across SMS and chat channels
  • Identity Resolution Intelligence — Access leads identified through website visits to prioritize high-intent prospects and maintain a high-fidelity sales pipeline
  • Attribute Management — Programmatically update custom contact attributes and manage audience segments through dynamic tagging directly from your agent
  • Lead Discovery — Find contacts by email, phone, or external identifiers to perfectly coordinate your multichannel outreach and follow-ups

The Customers.ai 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.

All 8 Customers.ai tools available for Pydantic AI

When Pydantic AI connects to Customers.ai through Vinkius, your AI agent gets direct access to every tool listed below — spanning customersai, identity-resolution, messaging-automation, 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.

add_tag_to_contact

Add a tag to a contact

get_contact

Get contact profile details

list_xray_leads

List identified website visitors

remove_tag_from_contact

Remove a tag from a contact

search_contacts

Search for contacts in Customers.ai

send_rich_message

Send a structured JSON message

send_text_message

Send a text message to a contact

update_contact_attributes

Update attributes for a contact

Connect Customers.ai to Pydantic AI via MCP

Follow these steps to wire Customers.ai into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 8 tools from Customers.ai with type-safe schemas

Why Use Pydantic AI with the Customers.ai MCP Server

Pydantic AI provides unique advantages when paired with Customers.ai through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Customers.ai integration code

03

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

04

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

Customers.ai + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Customers.ai in Pydantic AI

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

01

"List the last 5 leads identified via X-Ray Pixel."

02

"Find the contact with email 'jane.doe@example.com'."

03

"Add the 'Q2 Campaign' tag to contact ID '1024'."

Troubleshooting Customers.ai MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Customers.ai + Pydantic AI FAQ

Common questions about integrating Customers.ai MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

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