Atlas Connector for AI agents.
8 live capabilities
Manage customer tickets and support data directly from your chat interface.
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Why people use Atlas
Atlas for Solving Support Ticket Backlogs
With this Connector, you just ask your agent. You can pull up a customer's history or list all open tickets in one sentence. You get the info you need instantly, which means you spend more time helping people and less time clicking around.
What Vinkius changes
You get a conversational interface for your entire Atlas.so support operation.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Checking queue volume
A support lead needs to see how many tickets are open.
- Real-world use case 02
Identifying feature bugs
A product manager wants to see if people are complaining about a new update.
- Real-world use case 03
Prepping for a client call
A customer success manager is about to jump on a call.
Complete set · 8capabilities
The complete Atlas capability set.
These are the exact actions your AI can choose when you ask it to work with Atlas.
01—04
4 capabilities in this set.
Part of 8 available through Atlas.
- 01 Capability
Create ticket
Create a new support ticket. This lets you log issues instantly without leaving your chat. It saves you from having to switch tabs to find the submission form.
- 02 Capability
Get account check
Verify your Atlas account connection. Use this to ensure your API token is working correctly. It's the first step to making sure your data is accessible.
- 03 Capability
Get customer
Get details for a specific customer. This pulls up names, emails, and internal IDs in one go. You can use this to quickly identify a user before responding.
- 04 Capability
Get ticket
Get details for a specific ticket. Use this to see the full history and status of a single issue. It gives you all the context you need in one view.
05—08
4 capabilities in this set.
Part of 8 available through Atlas.
- 05 Capability
List articles
List help center articles. This helps you find the right documentation to share with customers. It pulls your organization's help content into your chat.
- 06 Capability
List customers
List all customers in Atlas. This gives you a full overview of your customer base. Use it to get a high-level look at your user list.
- 07 Capability
List tickets
List all support tickets in Atlas. This helps you see what's currently in the queue. Use it to monitor your workload in real time.
- 08 Capability
List users
List team users (agents). Use this to see who is on the team and manage support capacity. It helps you keep track of your active staff.
Set up in minutes
One URL. Then ask Atlas to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Atlas from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_1TbhSRlEHGEkIhUNWHxur0PeFrLDhD70vBtRuSTP/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Atlas, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Atlas for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_1TbhSRlEHGEkIhUNWHxur0PeFrLDhD70vBtRuSTP/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Atlas URL.
- Step 03
Save and start
Save the connection and enable Atlas in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"atlas": {
"url": "https://edge.vinkius.com/vk_preview_1TbhSRlEHGEkIhUNWHxur0PeFrLDhD70vBtRuSTP/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Atlas
Open Agent mode in chat and ask: "Using Atlas, help me...". 8 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"atlas": {
"url": "https://edge.vinkius.com/vk_preview_1TbhSRlEHGEkIhUNWHxur0PeFrLDhD70vBtRuSTP/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Atlas
Ask Copilot: "Using Atlas, help me...". 8 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"atlas": {
"url": "https://edge.vinkius.com/vk_preview_1TbhSRlEHGEkIhUNWHxur0PeFrLDhD70vBtRuSTP/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Atlas
Open Cascade and ask: "Using Atlas, help me...". 8 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"atlas": {
"url": "https://edge.vinkius.com/vk_preview_1TbhSRlEHGEkIhUNWHxur0PeFrLDhD70vBtRuSTP/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Atlas
Ask Cline: "Using Atlas, help me...". 8 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add atlas --transport http "https://edge.vinkius.com/vk_preview_1TbhSRlEHGEkIhUNWHxur0PeFrLDhD70vBtRuSTP/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Atlas
Ask Claude: "Using Atlas, show me...". 8 tools are ready
Where the request belongs
Work Atlas can move forward.
This is for support leads who are tired of digging through endless ticket queues and product managers who need to see real customer feedback without asking for manual exports.
Support Lead
Auditing ticket volume and agent capacity during peak hours to keep the team on track.
Product Manager
Identifying recurring bugs by searching through recent customer tickets for feature feedback.
Customer Success Manager
Pulling up customer history and help articles to prep for high-priority client calls.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Leading AI customer support and ticketing platform in China. manage tickets, agents, and knowledge via AI.
Desku.io
Unify customer support across email, chat, and social with AI-assisted ticket resolution that speeds up response times.
Freshdesk
Resolve customer tickets faster with omnichannel helpdesk capabilities, smart automation, and self-service portals your users will love.
Zendesk
Manage support tickets, users, and organizations on Zendesk. the complete customer service platform for high-scale teams.
Bring your own AI
Change the model, client or framework. Keep Atlas connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Atlas.
The practical details behind the request, access and result.
Can the Atlas MCP help me manage my support team?
Yes, it lets your agent see your list of team users so you can check capacity and see who is on the team.
How does the Atlas MCP handle my customer data?
It pulls names, emails, and IDs directly from your Atlas.so account using your API token, keeping your data private.
Can I use the Atlas MCP to see my help center content?
Yes, it can list your help center articles so your agent can provide accurate info to your customers based on your documentation.
Will the Atlas MCP let me create new tickets?
Yes, your agent can create a new ticket for you using a simple natural language command, so you don't have to leave your chat.
Is the Atlas MCP secure for my support data?
It uses your official Atlas.so API token to ensure your data stays private and authenticated during every interaction.
Does the Atlas MCP work with my current AI client?
Yes, it connects to any MCP-compatible client like Claude or Cursor through the Vinkius marketplace.
How do I find my Atlas.so API Token?
Log in to your Atlas dashboard, go to App Configuration > Data > API, and you will find your API Token there.
Can I see help center articles via this server?
Yes, use the list_articles capability to retrieve a list of articles from your Atlas help center.
How are customer IDs handled?
Atlas uses unique internal IDs for customers. You can discover these IDs by using the list_customers capability or searching for a specific customer by email.
One connection away
Give your agent a direct line to Atlas.
Connect Atlas once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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