PG&E Public Datasets MCP Server for Cursor 8 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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"mcpServers": {
"pge-public-datasets": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
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About PG&E Public Datasets MCP Server
Access PG&E Public Datasets directly from any AI agent and explore energy consumption, billing trends, efficiency savings, and regional comparisons without any authentication.
Cursor's Agent mode turns PG&E Public Datasets into an in-editor superpower. Ask Cursor to generate code using live data from PG&E Public Datasets and it fetches, processes, and writes — all in a single agentic loop. 8 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Monthly Usage — Get monthly electricity and gas consumption by ZIP code and customer segment
- Customer Segments — View energy usage breakdown across Residential, Commercial, Industrial, and Agricultural sectors
- Yearly Trends — Analyze year-over-year energy consumption trends
- Electricity by ZIP — Access ZIP code-level electricity consumption data
- Gas by ZIP — Access ZIP code-level natural gas consumption data
- Billing Data — Retrieve average bills and cost metrics by region
- Savings Data — Analyze energy efficiency program savings and cost-effectiveness
- Regional Comparisons — Compare energy usage across multiple ZIP codes side-by-side
The PG&E Public Datasets MCP Server exposes 8 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect PG&E Public Datasets to Cursor via MCP
Follow these steps to integrate the PG&E Public Datasets MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using PG&E Public Datasets
Open Agent mode in chat and ask: "Using PG&E Public Datasets, help me..." — 8 tools available
Why Use Cursor with the PG&E Public Datasets MCP Server
Cursor AI Code Editor provides unique advantages when paired with PG&E Public Datasets through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP — no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
PG&E Public Datasets + Cursor Use Cases
Practical scenarios where Cursor combined with the PG&E Public Datasets MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
PG&E Public Datasets MCP Tools for Cursor (8)
These 8 tools become available when you connect PG&E Public Datasets to Cursor via MCP:
compare_regions
Returns side-by-side usage figures (kWh and therms), customer counts, and average bills for each region. Use this to identify regional differences in energy consumption, support geographic targeting for efficiency programs, or compare urban vs. rural usage patterns. ZIP codes are comma-separated (e.g., "94102,94103,94104"). Optional dataType and year filters. Compare energy usage data between multiple ZIP codes/regions
get_billing_data
Data is available by ZIP code and customer segment. Use this to analyze energy affordability, compare costs across regions, or identify rate impact on customers. Optional zipCode and year filters. Get billing data and average costs from PG&E public datasets
get_electricity_by_zip
Returns monthly or annual usage figures broken down by geographic area. Use this to compare electricity usage across neighborhoods, identify high-consumption areas, or support energy efficiency targeting. Optional year filter. Get electricity consumption data for specific ZIP codes in PG&E service area
get_gas_by_zip
Returns monthly or annual gas usage figures by geographic area. Use this to analyze heating demand patterns, compare gas usage across regions, or identify electrification opportunities. Optional year filter. Get natural gas consumption data for specific ZIP codes in PG&E service area
get_monthly_usage
Data is organized by ZIP code, month, year, and customer segment (Residential, Commercial, Industrial, Agricultural). Returns kWh for electric and therms for gas. Use this to analyze consumption patterns over time. Optional filters: dataType ("electric" or "gas"), customerType, zipCode (5-digit), and year (YYYY). Get monthly energy consumption data by ZIP code and customer segment from PG&E public datasets
get_savings_data
Includes program participation counts, kWh/therms saved, program costs, and cost-effectiveness metrics by program type. Use this to evaluate program ROI, compare effectiveness across initiatives, or identify high-impact efficiency strategies. Optional programType and year filters. Get energy efficiency program savings data from PG&E
get_usage_by_customer_type
Shows total consumption for Residential, Commercial, Industrial, and Agricultural sectors. Use this to understand the energy consumption distribution across different customer categories. Optional dataType ("electric"/"gas") and year filters. Get energy usage broken down by customer segment (residential, commercial, industrial, agricultural)
get_yearly_trends
Shows how electricity and gas usage has changed over multiple years. Use this to identify long-term patterns, growth/decline in energy demand, and seasonal variations. Optional dataType filter ("electric" or "gas"). Get yearly energy consumption trends from PG&E public data
Example Prompts for PG&E Public Datasets in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with PG&E Public Datasets immediately.
"Show monthly electricity usage by customer type."
"Compare ZIP codes 94102, 94301, and 95054."
"Show yearly energy consumption trends."
Troubleshooting PG&E Public Datasets MCP Server with Cursor
Common issues when connecting PG&E Public Datasets to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
PG&E Public Datasets + Cursor FAQ
Common questions about integrating PG&E Public Datasets MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
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Connect PG&E Public Datasets to Cursor
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.