gorgias-mcp
Enables AI agents to manage Gorgias support tickets: list open tickets, read conversation history, draft internal notes, send outbound replies (gated), and look up customer history.
README
gorgias-mcp
MCP server for Gorgias, the e-commerce customer support helpdesk. 5 tools for AI agents to triage tickets, read full conversation context, draft internal notes for human reviewers, send outbound replies when authorized, and look up customer lifetime history.
As of May 2026, Gorgias does not have an official MCP server. The community attempt is a zero-star placeholder. This is the production-quality rail to fill that gap so external agents (Cursor, Claude Desktop, Hermes, LangChain, n8n) can natively manage Gorgias tickets.
The 5 tools
| Tool | Purpose |
|---|---|
list_open_tickets |
Retrieve unresolved support tickets ordered by most-recent update |
get_ticket_context |
Fetch the entire conversation history of a specific ticket |
draft_internal_note |
Leave an invisible internal note on a ticket (SAFE path, never visible to customer) |
send_ticket_reply |
Send an outward-facing reply to the customer (gated by env-flag) |
get_customer_history |
Look up a customer profile by email for lifetime history grounding |
Install
pip install gorgias-mcp
Configure
export GORGIAS_DOMAIN="your-store-subdomain" # e.g. mystore (NOT mystore.gorgias.com)
export GORGIAS_EMAIL="your-gorgias-user-email"
export GORGIAS_API_KEY="your-gorgias-api-key"
export GORGIAS_ALLOW_OUTBOUND_REPLIES="false" # set to "true" to enable send_ticket_reply
Get a Gorgias API key in your Gorgias dashboard under Settings -> REST API -> Generate API Key. The auth model is HTTP Basic where username = the Gorgias user email and password = the API key.
Use with Claude Desktop
{
"mcpServers": {
"gorgias": {
"command": "gorgias-mcp",
"env": {
"GORGIAS_DOMAIN": "your-store-subdomain",
"GORGIAS_EMAIL": "your-gorgias-user-email",
"GORGIAS_API_KEY": "your-gorgias-api-key",
"GORGIAS_ALLOW_OUTBOUND_REPLIES": "false"
}
}
}
}
Restart Claude Desktop. The 5 Gorgias tools are now available.
Use case: AI customer-support assistant
Typical agent flow:
- Call
list_open_tickets(limit=10)to find recent unresolved tickets - For each ticket, call
get_ticket_context(ticket_id)to read the full conversation - Call
get_customer_history(email_address)to ground the response in prior interactions - Call
draft_internal_note(ticket_id, body_text, sender_id)to leave AI-generated context for the human support agent who will reply - (Optional, only if
GORGIAS_ALLOW_OUTBOUND_REPLIES=true) Callsend_ticket_replyto send an autonomous reply
Safety note
The draft_internal_note tool is the recommended primary path for AI-generated content. Internal notes are invisible to customers and let a human reviewer approve before any outbound action. The send_ticket_reply tool is GATED behind the GORGIAS_ALLOW_OUTBOUND_REPLIES env var (default false). Setting it to true should be deliberate, in workflows where the AI has been explicitly authorized to message customers without review.
Architecture
- Public MIT-licensed wrapper around the Gorgias REST API
- Async HTTP via
httpx - pydantic v2 input validation
- HTTP Basic Auth (base64-encoded
GORGIAS_EMAIL:GORGIAS_API_KEY), server-side only - Outbound-reply gating via env-flag
- Rate-limit aware (429 returns a clean error per Gorgias plan tier)
Development
git clone https://github.com/NoBanks/gorgias-mcp.git
cd gorgias-mcp
pip install -e ".[dev]"
pytest
License
MIT. See LICENSE.
Author
Ryan Hammer (NoBanks). Solo founder + engineer. Built this and 8 other MCP servers as part of a sprint to expose AI agent rails for the products and platforms shipping daily.
- GitHub: @NoBanks
- X/Twitter: @livingagentic
- Site: livingagentic.me, nohumannearby.com
Open to AI engineering roles, contract or full-time, remote-only.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.