- HIERARCHY
- ROLES
- CONTACTS
- HUMAN
Short answer
How can I use my AI to understand my team structure?
Your AI uses Range to pull user details, team lists, and role definitions. This gives your agent the context it needs to navigate your workspace hierarchy. You get a clear map of your organization's layout.
The outcomes.
Where your organizational data lands.
The AI processes raw workspace data into actionable context.
HIERARCHY
Mapped team structures
The AI identifies how teams are grouped and nested. You get a clear picture of your organizational layout.
ROLES
Defined user responsibilities
Your agent learns the specific roles and permissions assigned to individuals. This helps it understand who handles what.
CONTACTS
Identified user profiles
The AI pulls individual user data to link people to their specific teams. You can ask who is in which department.
HUMAN
Manual updates required
The AI only reads existing data. You still need to manually change roles or move people in the Range UI.
The workflow
What your AI does when the data arrives.
The AI moves through your organization to build a mental model of your workspace.
Scan the organization
The AI starts by pulling a full list of every team in your workspace to see the big picture.
list_teamsIdentify team members
It looks inside each team to see which users belong to which groups.
list_usersInspect specific roles
The agent digs into a specific team to understand its exact composition and structure.
get_teamVerify individual details
It pulls specific profile information for a single person to confirm their role.
get_user
Try it
Copy these to start.
Use these prompts to begin interacting with your workspace data.
Starting points
These are opening lines. Swap out the team or user names for the ones you actually use.
Range Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_4p5SDUAcMXEvioUudTnIgcUNBwalKootCKY0dWsF/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Range capabilities are ready to use.
{
"mcpServers": {
"range-mcp": {
"url": "https://edge.vinkius.com/vk_preview_4p5SDUAcMXEvioUudTnIgcUNBwalKootCKY0dWsF/mcp"
}
}
}List all the teams in my workspace and tell me who is in the Engineering team.
Who is the lead for the Marketing team?
Show me the profile details for Sarah Jenkins.
Map out the hierarchy for the Product Design team.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Range once, then ask.
Click the link to connect. Your login stays encrypted on our side, and you can find the full technical breakdown on the Connector page.
Connect Range to your AIFAQ
How this task behaves.
- 01
Can the AI change a user's role?
No. The AI can only read existing metadata. You must make all organizational changes directly in Range.
- 02
Can the AI delete a team?
No. This connector is read-only. It cannot delete users, teams, or any other data.
- 03
Does the AI see my private messages?
No. It only accesses the team structures and user profiles provided by the tools.
- 04
How does the AI know which team a person belongs to?
It uses the team and user tools to cross-reference profiles with team lists.
- 05
Can I ask about people not in my workspace?
No. The AI can only see the data it can retrieve through the Range tools.
More questions about Range? The Connector page answers them. See everything the Range Connector can do
Connect Range to Claude, Cursor, ChatGPT & more
