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Platform.ly MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Add Note To Contact, Apply Tag To Contact, Create New Contact, and more

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Platform.ly through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Use with Your AI Agent

Ask AI about this App Connector for Pydantic AI

Open in ChatGPT Open in Claude Open in Perplexity

The Platform.ly app connector for Pydantic AI is a standout in the Industry Titans category — giving your AI agent 12 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 Platform.ly "
            "(12 tools)."
        ),
    )

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

asyncio.run(main())
Platform.ly
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* 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 Platform.ly MCP Server

Connect your Platform.ly account to any AI agent and take full control of your business automation and CRM orchestration through natural conversation. Platform.ly is a powerful multi-channel marketing platform, and this integration allows you to retrieve contact metadata, manage sales pipelines, and trigger automated events directly from your chat interface.

Pydantic AI validates every Platform.ly tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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 & CRM Orchestration — List, add, and update contacts with detailed profile metadata programmatically to ensure your audience database is always synchronized.
  • Sales Pipeline Intelligence — Access and monitor your sales pipelines and create new deals directly from the AI interface to track revenue growth and deal velocity.
  • Tag & Segment Control — Apply or remove tags and manage segments via natural language to drive better targeted marketing efficiency.
  • Automation & Event Management — Fire custom events and add notes to contacts to ensure your automated workflows are always synchronized.
  • Operational Monitoring — Track system status and manage organization metadata using simple AI commands.

The Platform.ly MCP Server exposes 12 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 12 Platform.ly tools available for Pydantic AI

When Pydantic AI connects to Platform.ly through Vinkius, your AI agent gets direct access to every tool listed below — spanning multi-channel-marketing, sales-tracking, crm-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_note_to_contact

Add a text note to a contact

apply_tag_to_contact

Add a tag to a contact

create_new_contact

Requires project ID and email. Add a new contact to the CRM

create_new_sales_deal

Create a new deal in a pipeline

get_contact_details

Get full info for a contact

list_crm_contacts

List contacts in a project

list_project_segments

List all segments in a project

list_project_tags

List all tags in a project

list_sales_pipelines

List all sales pipelines

remove_tag_from_contact

Remove a tag from a contact

search_contact_by_email

Find a contact by email

update_existing_contact

Modify a contact record

Connect Platform.ly to Pydantic AI via MCP

Follow these steps to wire Platform.ly 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 12 tools from Platform.ly with type-safe schemas

Why Use Pydantic AI with the Platform.ly MCP Server

Pydantic AI provides unique advantages when paired with Platform.ly 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 Platform.ly 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 Platform.ly connection logic from agent behavior for testable, maintainable code

Platform.ly + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Platform.ly MCP Server delivers measurable value.

01

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

02

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

03

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

04

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

Example Prompts for Platform.ly in Pydantic AI

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

01

"List all active contacts in project ID 1234."

02

"Show me the performance of my active email automation sequences and their conversion funnels."

03

"Create a new contact segment for users who signed up in the last 14 days but have not completed onboarding."

Troubleshooting Platform.ly MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Platform.ly + Pydantic AI FAQ

Common questions about integrating Platform.ly 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 Platform.ly MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.