Gorgias MCP Integration

Weldable's Gorgias MCP integration connects your AI agents to the ecommerce-focused support platform for managing tickets, customer data, and order-related workflows. Gorgias reports that its AI Agent resolves 60% of support inquiries for Shopify brands, with real-world automation rates between 26% and 56% depending on setup. Weldable gives your agent access to the Gorgias API so you can build custom automations that combine support data with your other connected services.

Use cases

Order status automation across channels

When a customer asks about their order in any channel, your agent pulls the order details from Gorgias, which is already connected to your Shopify store, and composes a response with tracking information, estimated delivery date, and any relevant notes. The response can be posted back to Gorgias as a draft or sent directly, depending on your workflow.

Revenue impact analysis of support issues

Your agent queries tickets tagged with order-related problems, such as wrong items shipped, delayed deliveries, or payment failures, cross-references the affected order values, and generates a report showing the total revenue at risk from support issues. This report goes to Slack or Google Sheets, giving leadership a clear picture of how support quality affects the bottom line.

Post-purchase feedback collection

After an order is delivered and the support ticket is resolved, your agent creates a follow-up message through Gorgias asking for a product review or satisfaction rating. The timing is based on delivery confirmation rather than an arbitrary delay, making the outreach feel more relevant to the customer.

Refund and return pattern detection

Your agent analyzes closed tickets involving refunds or returns over a specified period, categorizes them by reason, and identifies products or SKUs with unusually high return rates. The findings go to a Google Sheet or Slack channel where the merchandising team can investigate whether the issue is product-related or expectation-related.

Agent performance benchmarking

Your agent pulls resolution time, customer satisfaction scores, and ticket volume per support agent from Gorgias, then compiles a weekly performance summary. The report highlights trends rather than just snapshots, so team leads can spot agents who might need additional training or recognition.

How it works

Connect your Gorgias account through API key authentication. Weldable stores the credentials securely and handles authentication for every request. Your agent gets access to tickets, customers, orders, and macros without managing API tokens directly.

Tell your agent what you need in plain English. Weldable resolves your intent to the correct Gorgias API endpoint, handling pagination, field mapping, and data formatting. Actions can be chained with other integrations, so a single workflow can read from Gorgias and post results to Slack, Google Sheets, or email.

Tips

Use ticket tags for automation signals. Gorgias tags are the most reliable way to filter and categorize tickets programmatically. Establish a consistent tagging convention and have your agent apply tags as part of every workflow so reporting stays accurate.

Pair with Shopify data for complete context. Gorgias already pulls order data from Shopify, but your agent can combine this with additional context from other connected services. A customer's support history plus their order value plus their engagement patterns gives a fuller picture than any single source.

Keep automated responses brand-consistent. Gorgias serves ecommerce brands where tone matters. When your agent drafts responses, match the voice and style that customers expect from your brand rather than defaulting to generic language.

Schedule regular support analytics. Rather than pulling reports on demand, set your agent to deliver weekly summaries on a consistent schedule. Teams are more likely to act on data they receive regularly than on reports they have to remember to request.

Monitor automation rates honestly. Track what percentage of tickets your agent handles end-to-end versus how many still require human intervention. This honest measurement helps you identify where automation works well and where it needs refinement.