Benefits
The MCP Server integration in Wherobots Cloud allows for:- Intelligent Catalog Exploration: Discover and understand your available datasets through natural language queries
- Data Quality Assessment: Query and evaluate the quality of your spatial data with AI assistance
- Pre-work Automation: Streamline initial spatial catalog exploration and analysis tasks
- Geospatial Query Assistance: Get help with spatial SQL queries and general geospatial questions
Before you start
Before using this feature, ensure that you have the following required resources:-
An Account within a Professional or Enterprise Organization. For more information, see Create a Wherobots Account.
- Both Admin and User roles have access to MCP Server in Wherobots Cloud.
- A Wherobots API key. For more information, see API Keys.
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Visual Studio Code (VS Code) with GitHub Copilot and GitHub Copilot Chat..
- For more information on downloading and installing GitHub Copilot, see GitHub Copilot for VS Code in the VS Code Documentation.
- For more information on using GitHub Copilot, see Get started with chat in VS Code in the VS Code Documentation.
Using the MCP Server with advanced AI models like Claude Sonnet 4 or GPT-4 is recommended for optimal performance.
Enable Wherobots MCP Settings in VS Code
This section covers how to add the Wherobots MCP Server to VS Code.- Log in to GitHub Copilot.
- Open your VS Code Settings (e.g., press
Cmd+,on Mac). - In the search bar, type mcp.
- Configure the following settings:
- Chat Mcp Discovery: Enabled
- Chat > Mcp > Access: all
- Chat > Mcp > Autostart: newAndOutdated
Add the Wherobots MCP server
- Open the VS Code Command Palette (e.g., press
Cmd+Shift+Pon Mac). - Type MCP: Add Server and select it from the list.
- You will be prompted to “Choose the type of MCP server to add”. Select HTTP (HTTP or Server-Sent Events).
- When prompted for the URL, enter the service URL:
https://api.cloud.wherobots.com/mcp/. - When prompted, provide a name for your MCP server (e.g., “wherobots-mcp-server”).
Configure mcp.json
-
Your
mcp.jsonfile will open automatically after adding the server. If not, you can open it manually by typing and selecting >mcp: Open User Configuration in the Command Palette. -
Add a
"headers"object containing your"x-api-key", using your Wherobots API key as the value. Copy and paste the following into yourmcp.json, replacing the placeholders with your chosen MCP server name and Wherobots API key. -
Save the
mcp.jsonfile. -
Reload VS Code to apply your changes:
- Open the Command Palette (
Cmd+Shift+Pon Mac,Ctrl+Shift+Pon Windows/Linux). - Type and select Reload Window.
- Open the Command Palette (
-
Open the Command Palette again and type MCP: List Servers.
- Select your server from the list, then click Start Server.
- Check the VS Code Output panel to confirm the server has started successfully.
Verify the connection
- Open the GitHub Copilot Chat view. To do this, click View > Chat from the VS Code menu bar on your Mac or Windows/Linux system.
-
If you haven’t already, click New Chat (
Cmd+Non Mac orCtrl+Non Windows/Linux) button to start a new chat session. -
Make sure you have Agent selected as the chat mode. You can select this from the dropdown menu at the top of the chat panel.

- You can also select the model you wish to use alongside the MCP server from the adjacent dropdown. Quality of responses may vary between models.
-
Ask a question to see if it interacts with the Wherobots service, for example:
Show me the catalogs in my Organization
-
If successful, Copilot will confirm it is using the Wherobots MCP server (showing
Ran list_catalogsor a similar tool) and display all of the available catalogs in your Organization. The exact response will vary depending on the datasets within your Organization as well as the model used to query the MCP server. At minimum,
wherobots_open_dataappears for Community Edition, and bothwherobots_open_dataandwherobots_pro_datafor Professional and Enterprise Edition Organizations.
Next steps and best practices
The MCP server excels at helping you understand and work with your spatial data. Use natural language prompts to explore datasets, assess data quality, and generate spatial SQL queries. Start by asking questions about your catalogs or datasets to see how the MCP server can assist you in your geospatial analysis tasks. For more information on using the MCP Server including common tasks and example prompts see Use MCP Server with VS Code.Stop the MCP Server
When you are finished asking Wherobots-related questions, it is important to stop the MCP server. Stopping the server ensures that no additional charges are incurred from the MCP server and that resources are freed for other tasks. To stop the MCP server in VS Code:- Open the Command Palette (
Cmd+Shift+Pon Mac,Ctrl+Shift+Pon Windows/Linux). - Type and select MCP: List Servers.
- Select the name of your server from the list.
- Click Stop Server.

