Can I add an internal note to a ticket instead of replying to the customer?

Yes! When using the `create_message` tool, you can specify the channel as 'internal-note'. This allows the AI agent to leave insights or summaries for other human agents to read.

How do I find a customer's recent tickets?

First, use `list_customers` with their email address to find their Customer ID. Then, you can use `list_tickets` or ask the AI to summarize their interaction history.

Can the AI resolve tickets for me?

Yes. The agent can use the `update_ticket` tool to change the status of a ticket to 'closed' once an issue is verified as resolved.

Gorgias MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Name: Gorgias
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

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

    result = await agent.run(
        "What tools are available in Gorgias?"
    )
    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 Gorgias MCP Server

Connect your Gorgias helpdesk to your AI agent and streamline your customer support operations. Use natural language to monitor ticket queues, draft replies, and manage customer profiles without switching tabs.

Pydantic AI validates every Gorgias tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through the 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

Ticket Management — List open tickets, retrieve specific conversation histories, and update ticket statuses
Customer Communication — Draft and send replies to customers or add internal notes for your team
Customer Profiles — Search for customers by email, retrieve their details, or create new profiles on the fly
Team Monitoring — List active agents and retrieve user details for internal coordination

The Gorgias 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.

How to Connect Gorgias to Pydantic AI via MCP

Follow these steps to integrate the Gorgias 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 12 tools from Gorgias with type-safe schemas

Why Use Pydantic AI with the Gorgias MCP Server

Pydantic AI provides unique advantages when paired with Gorgias 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 Gorgias integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Gorgias connection logic from agent behavior for testable, maintainable code

Gorgias + Pydantic AI Use Cases

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

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

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

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

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

Gorgias MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect Gorgias to Pydantic AI via MCP:

create_customer

Create a new customer profile

create_message

Add a message (reply or internal note) to a ticket

create_ticket

Create a new ticket

get_customer

Get details for a specific customer

get_ticket

Get details of a specific ticket

get_user

Get details for a specific agent/user

list_customers

List or search customers

list_messages

List messages within a ticket

list_tickets

List support tickets

list_users

List agents/users in the workspace

update_customer

Update a customer profile

update_ticket

Update an existing ticket

Example Prompts for Gorgias in Pydantic AI

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

"Show me the 5 most recent open tickets."

"Reply to ticket #1042 saying their order has been shipped and provide the tracking link."

"Check if there's a profile for customer alex.smith@example.com."

Troubleshooting Gorgias MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Gorgias + Pydantic AI FAQ

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