mcp.json schema (mcpServers, not servers), so follow the Cursor-specific steps below to install the MCP Server and Agent Skills.
Component Overview
Wherobots’ Agentic Tools consist of the following components that work together to provide our agentic experience:MCP Server
MCP Server
Connects your AI assistant to Wherobots Cloud for catalog exploration, Spatial SQL generation, and query execution.
Agent Skills
Agent Skills
Gives your AI assistant domain-specific Wherobots knowledge for more accurate commands and fewer errors.
Wherobots CLI
Wherobots CLI
Wraps the full Wherobots API into a single binary for job submission, log streaming, and automation.
Why use Wherobots’ agentic tools?
Wherobots’ agentic tools connect your AI assistant to Wherobots Cloud and your local development environment so you can interact with your spatial data, catalogs, and jobs in a more intuitive way.Explore your spatial catalog conversationally
Explore your spatial catalog conversationally
The MCP Server connects your AI assistant to Wherobots Cloud so you can browse catalogs, databases, and table schemas (including Overture Maps and your own datasets) by asking questions in plain language instead of navigating the console.
Generate Spatial SQL without memorizing functions
Generate Spatial SQL without memorizing functions
Describe a geospatial task (e.g. “find buildings within 500m of this point”) and the MCP Server returns optimized Spatial SQL using WherobotsDB’s ST functions, spatial joins, and indexing patterns.
Submit and monitor Wherobots jobs from your editor
Submit and monitor Wherobots jobs from your editor
Use the CLI or the extension to submit Spark job runs, stream logs in real time, check resource metrics, and cancel jobs without leaving your editor or terminal.
Get Wherobots-aware AI assistance
Get Wherobots-aware AI assistance
Agent Skills teach your AI assistant Wherobots-specific APIs, query patterns, and workflow sequences so it produces correct
wherobots CLI commands, valid MCP tool calls, and accurate notebook code on the first try.Before you start
Prior to installing the Wherobots VS Code extension, make sure you have:-
Cursor installed.
- Active Cursor subscription in order to select the model used by your Agent within Cursor.
-
A Wherobots Account within a Community, Professional, or Enterprise Organization. See Create a Wherobots Account.
Organization Availability: Available to all Wherobots Organization Editions.
- Community Edition Organizations can create and run local notebooks against the Tiny and Micro runtimes.
- Professional or Enterprise Organizations are required for job submission, the Wherobots MCP server, and additional compute tiers. For more information, see Upgrade Organization or Organization Editions.
-
Node.js installed (for running
npx skillswhen installing Agent Skills).
Install the extension
Run the following command in your terminal:ms-toolsai. If Cursor prompts that it cannot activate the extension because of a missing Jupyter dependency, click Install and Reload.

Configure the extension
After installation, set your API key to connect to Wherobots Cloud.Open the Command Palette
To open the Command Palette, click the search bar at the top of your editor and type 
>wherobots:.
Set your API key
- If you don’t have an API key yet, click
Wherobots: Generate API Key on Wherobots Cloudto create one. - Click
Wherobots: Set API Keyand enter your existing or newly created Wherobots API key when prompted, then press Enter.
API keys are stored securely in your editor’s Secret Storage.
Verify the installation
To confirm the extension is installed and configured correctly:Open the Command Palette
To open the Command Palette, click the search bar at the top of your editor and type 
>wherobots:.
Apply the extension to all profiles (optional)
If you use multiple Cursor profiles, right-click the Wherobots - Spatial AI Coding Assistant entry in the Extensions view and select Apply Extension to all Profiles so the extension is available in every profile.
Configure the MCP Server
The Wherobots MCP Server enables AI assistants to explore your spatial data catalogs, generate Spatial SQL, and execute queries. Cursor expects a project-level.cursor/mcp.json file with an mcpServers object.
Open Tools & MCPs in Cursor Settings
Open the Command Palette (⌘ + Shift + P on macOS, Ctrl + Shift + P on Windows/Linux), type Cursor Settings: Tools & MCPs, and press Enter.Under Installed MCP Servers, click Add Custom MCP. Cursor opens (or creates) 
.cursor/mcp.json in your project root.
Add the Wherobots MCP server
Paste the following into 
.cursor/mcp.json, replacing <YOUR_WHEROBOTS_API_KEY> with your Wherobots API key, then save the file.
Reload and confirm the server is enabled
- Open the Command Palette and select Developer: Reload Window.
- Return to Cursor Settings > Tools & MCPs and confirm that
wherobots-mcp-serveris listed, has a green status dot, and lists its tools (for example,list_catalogs_tool,list_tables_tool,describe_table_tool,execute_query_tool,search_documentation_tool) plus prompts and aget_versionresource.

Install Agent Skills
Agent Skills give your AI assistant domain-specific knowledge about Wherobots workflows, APIs, and best practices. The Wherobots skill pack is distributed via the skills CLI.Run the skills installer
From a terminal in your project root, run:The installer clones the Wherobots skills repository and launches an interactive wizard.
Select the Wherobots skills
When prompted with Select skills to install, press Space to toggle each skill and Enter to confirm. Select all three:
wherobots-develop— guidance for writing Wherobots jobs and using the SDK/CLI.wherobots-explore— catalog discovery and spatial query generation via the MCP server.wherobots-usage— interface decision matrix, auth setup, and scheduled-job patterns.

Select Cursor as a target agent
On the Which agents do you want to install to? screen, make sure Cursor is selected under Universal (it is included by default). You can optionally add other agents from the Additional agents list (for example, Claude Code at 
~/.claude/skills).Press Enter to continue.
Verify your setup
- Open a New Agent chat in Cursor (the chat panel on the right).
- Confirm Agent is selected as the chat mode.
-
Ask a test question, for example:
List the available tables in wherobots_pro_data
-
If everything is configured, Cursor’s agent calls
search_documentation_tool,list_catalogs_tool,list_databases_tool, andlist_tables_toolonwherobots-mcp-serverand returns the catalogs, databases, and tables in your Organization.
-
Re-open Cursor Settings → Tools & MCPs and confirm
wherobots-mcp-servershows a green dot with all tools enabled.
Pin the extension for easy access
If the Wherobots VS Code Extension is pinned to your sidebar, you can also create a new workspace by clicking the Create Workspace button.
Pin the extension
Right-click the Activity Bar (the vertical icon bar on the left side of your editor).A menu will appear showing all available extensions.
Troubleshooting
Invalid config: mcpServers must be an object or JSON syntax error
Cursor validates .cursor/mcp.json against its own schema and will display these errors in Cursor Settings → Tools & MCPs when the file is malformed.
Common causes:
- Missing the outer
{ ... }wrapper around the config — the JSON parser fails with “End of file expected.” - Using the VS Code key
"servers"instead of Cursor’s"mcpServers". - Including a
"type": "http"field — Cursor does not use it.
Next steps
Browse Your Data
Browse catalogs, schemas, and tables in the Data Hub sidebar.
AI-Assisted Notebooks
Create and connect local notebooks to remote Wherobots compute.
Submit Job Runs
Submit Python scripts as Wherobots job runs from your editor.
MCP Server Best Practices
Common tasks, example prompts, and cost considerations for the MCP Server.


