Custify MCP Server for Pydantic AIGive Pydantic AI instant access to 8 tools to Create Person, Get Company Details, Get Person Details, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Custify 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 Custify 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
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 Custify "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in Custify?"
)
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 Custify MCP Server
Connect your Custify customer success account to any AI agent and simplify how you manage your product users, track account health, and monitor churn risk through natural conversation.
Pydantic AI validates every Custify 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
- User & Company Oversight — List all managed people and organizations and retrieve detailed metadata and health scores.
- Health Monitoring — Query health score metrics and values to identify at-risk customers and churn signals instantly.
- Event Tracking — Record custom user actions and events programmatically to feed your success analytics.
- Segment Analysis — List and query defined customer segments to understand your user distribution.
- CRM Control — Create new person records and update profile data directly via AI commands.
- Engagement Insights — Fetch engagement history and metadata for individual accounts directly from the agent.
The Custify 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 Custify tools available for Pydantic AI
When Pydantic AI connects to Custify through Vinkius, your AI agent gets direct access to every tool listed below — spanning customer-success, health-score, churn-prevention, 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.
Create a new person record
Get details for a specific company
Get details for a specific person
List customer companies
List customer health scores
List product users (people)
List user segments
Track a custom event
Connect Custify to Pydantic AI via MCP
Follow these steps to wire Custify 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 Custify MCP Server
Pydantic AI provides unique advantages when paired with Custify 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 Custify integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Custify connection logic from agent behavior for testable, maintainable code
Custify + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Custify MCP Server delivers measurable value.
Type-safe data pipelines: query Custify with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Custify tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Custify and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Custify responses and write comprehensive agent tests
Example Prompts for Custify in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Custify immediately.
"List all active companies in my Custify account."
"Show me the details and health for person 'john.doe@example.com'."
"Track a 'Button Clicked' event for user 'user_88231'."
Troubleshooting Custify MCP Server with Pydantic AI
Common issues when connecting Custify to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiCustify + Pydantic AI FAQ
Common questions about integrating Custify 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.