Can I see the value of my sales pipeline through the agent?

Yes! Use the `list_sales_deals` tool. The agent will return all open deals, and you can ask it to calculate the total value based on the amounts listed in Clientify.

How do I check the last interaction with a specific contact?

Use the `get_contact_crm_details` tool. Your agent will fetch the contact's profile, including recent activities and tags, to give you full context on the relationship.

Where do I find my Clientify API Key?

Log in to your Clientify account, go to **Settings**, select **My Account**, and navigate to the **API** section to generate and copy your token.

Clientify MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Clientify
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

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.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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 Clientify "
            "(8 tools)."
        ),
    )

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

asyncio.run(main())

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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 Clientify MCP Server

Connect your Clientify CRM account to any AI agent and take full control of your sales and marketing automation through natural conversation. Streamline how you manage contacts, deals, and daily activities natively.

Pydantic AI validates every Clientify 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 Oversight — List and retrieve details for all contacts including tags and status natively
Deal Intelligence — Access and monitor sales opportunities and deal values flawlessly
Activity Auditing — List and review CRM activities such as calls, emails, and meetings securely
Pipeline Logistics — Monitor sales pipelines to understand your revenue flow flawlessly
Company Management — List all companies stored in your account to maintain B2B relationships securely
User Visibility — Access your own profile and CRM metadata directly within your workspace flawlessly

The Clientify 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.

How to Connect Clientify to Pydantic AI via MCP

Follow these steps to integrate the Clientify MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

The agent discovers 8 tools from Clientify with type-safe schemas

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

Clientify MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Clientify to Pydantic AI via MCP:

get_contact_crm_details

Get detailed information for a specific contact

get_deal_details

Get detailed information for a specific sales deal

get_my_clientify_profile

Retrieve information about the authenticated CRM user

list_clientify_companies

List all companies stored in Clientify

list_clientify_contacts

List all contacts in Clientify CRM

list_crm_activities

List CRM activities such as calls, emails, and meetings

list_sales_deals

List sales opportunities and deals

list_sales_pipelines

List sales pipelines configured in the account

Example Prompts for Clientify in Pydantic AI

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

"List my last 5 sales deals in Clientify."

"Show me the details for contact ID '12345'."

"List all active CRM pipelines."

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

Update: pip install --upgrade pydantic-ai

Clientify + Pydantic AI FAQ

Common questions about integrating Clientify MCP Server with Pydantic AI.

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.

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.

Can I switch LLM providers without changing MCP code?

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