Clientify MCP Server for Pydantic AIGive Pydantic AI instant access to 10 tools to Create Activity, Create Contact, Create Deal, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Clientify 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 Clientify app connector for Pydantic AI is a standout in the Marketing Automation category — giving your AI agent 10 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 Clientify "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Clientify?"
)
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 Clientify MCP Server
Connect your Clientify CRM account to any AI agent and streamline your entire sales process through natural conversation.
Pydantic AI validates every Clientify tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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 Management — List, create, and update contacts with deep inspection of custom fields and social metadata.
- Sales Pipelines — Track deals across different stages, update amounts, and assign opportunities to specific pipelines.
- Task Scheduling — Create and manage activities like calls, meetings, and follow-ups to never miss a lead.
- Team Visibility — List account users and collaborators to understand your organizational structure.
- Automated Insights — Fetch real-time summaries of your sales activities and deal progress.
The Clientify MCP Server exposes 10 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 10 Clientify tools available for Pydantic AI
When Pydantic AI connects to Clientify through Vinkius, your AI agent gets direct access to every tool listed below — spanning lead-capture, pipeline-management, email-marketing, 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 activity or task
Create a new contact in Clientify
Create a new sales deal
Get details for a specific contact
List all tasks and activities
Supports filtering by email for precise lookups. List all contacts from Clientify
List all deals/opportunities
List all deal pipelines
List all account users
Update an existing contact
Connect Clientify to Pydantic AI via MCP
Follow these steps to wire Clientify 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 Clientify MCP Server
Pydantic AI provides unique advantages when paired with Clientify 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 Clientify integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Clientify connection logic from agent behavior for testable, maintainable code
Clientify + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Clientify MCP Server delivers measurable value.
Type-safe data pipelines: query Clientify with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Clientify tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Clientify and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Clientify responses and write comprehensive agent tests
Example Prompts for Clientify in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Clientify immediately.
"Show me all active deals in the main pipeline."
"Create a new contact for John Doe (john@example.com)."
"List all team members who have access to this account."
Troubleshooting Clientify MCP Server with Pydantic AI
Common issues when connecting Clientify to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiClientify + Pydantic AI FAQ
Common questions about integrating Clientify 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.