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Postscript MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Create Subscriber, Create Webhook, Delete Webhook, and more

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Postscript 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 Postscript 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 Postscript "
            "(12 tools)."
        ),
    )

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

asyncio.run(main())
Postscript
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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 Postscript MCP Server

Connect your Postscript account to any AI agent and take full control of your SMS marketing orchestration through natural conversation. Postscript is the leading SMS platform for Shopify stores, and this integration allows you to retrieve subscriber metadata, monitor campaign performance, and manage automated keywords directly from your chat interface.

Pydantic AI validates every Postscript 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

  • Subscriber & Audience Orchestration — List all managed SMS subscribers and retrieve detailed profile metadata programmatically to ensure your outreach is always synchronized.
  • Campaign & Flow Intelligence — Access and monitor your SMS campaigns and automated flows (like abandoned cart recovery) directly from the AI interface to track engagement metrics.
  • Keyword & Opt-in Control — List and search through your mobile keywords to maintain a clear overview of your subscription sources via natural language.
  • Operational Monitoring — Track system responses and manage webhook metadata using simple AI commands.
  • Account Visibility — Access high-level account and plan metadata to ensure your SMS operations are always optimized.

The Postscript 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 Postscript tools available for Pydantic AI

When Pydantic AI connects to Postscript through Vinkius, your AI agent gets direct access to every tool listed below — spanning sms-marketing, mms-marketing, shopify-integration, 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_subscriber

Note: Compliance rules apply. Subscribe a new user

create_webhook

Create a new webhook

delete_webhook

Delete a webhook

get_account_info

Get account details

get_campaign

Get campaign details

get_subscriber

Get subscriber details

list_automations

g., Abandoned Cart). List SMS automations

list_campaigns

List SMS campaigns

list_keywords

List SMS keywords

list_subscribers

List all SMS subscribers

list_webhooks

List active webhooks

update_subscriber

Update subscriber info

Connect Postscript to Pydantic AI via MCP

Follow these steps to wire Postscript 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 Postscript with type-safe schemas

Why Use Pydantic AI with the Postscript MCP Server

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

Postscript + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Postscript in Pydantic AI

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

01

"List all active SMS subscribers in Postscript."

02

"Show me the performance of all active SMS campaigns with conversion rates and revenue attribution."

03

"Create a new SMS campaign targeting customers who purchased in the last 30 days but have not reordered."

Troubleshooting Postscript MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Postscript + Pydantic AI FAQ

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