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Use PG&E Public Datasets with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Access PG&E public energy data: monthly usage, billing, savings, and regional comparisons.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 8 capabilities

The complete PG&E Public Datasets capability set.

These are the exact actions your AI can choose when you ask it to work with PG&E Public Datasets.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 8 available through PG&E Public Datasets.

  1. 01

    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

  2. 02

    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

  3. 03

    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

  4. 04

    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

Capability set02 / 02

05-08

4 capabilities in this set.

Part of 8 available through PG&E Public Datasets.

  1. 05

    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

  2. 06

    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

  3. 07

    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)

  4. 08

    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

Observed, not estimated

873ms average. Fast in production.

PG&E Public Datasets is checked daily against the live service.

Daily averagePeak 1096ms
Aug 20Today
Fastest day
726ms
Slowest day
1096ms
14-day trend
Slowing+9%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 8 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of PG&E Public Datasets, so you can see the experience inside your AI.

It does not authenticate your account with PG&E Public Datasets. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

PG&E Public Datasets Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_jU4H9PpngMJSWTMWiUpgHMUI2qIOmttvQ6Nykwgk/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — PG&E Public Datasets capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "pge-public-datasets-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_jU4H9PpngMJSWTMWiUpgHMUI2qIOmttvQ6Nykwgk/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions PG&E Public Datasets owners ask.

  • 01

    Is any authentication required?

    No! All PG&E Public Datasets are completely free and accessible without any API key or authentication. Just subscribe and start querying energy data immediately.

  • 02

    What customer segments are available?

    PG&E provides data for four customer segments: Residential (homes), Commercial (businesses), Industrial (manufacturing), and Agricultural (farming). Each segment has different consumption patterns and billing structures.

  • 03

    Can I compare multiple ZIP codes?

    Yes! Use the compare_regions capability with comma-separated ZIP codes (e.g., "94102,94103,94104"). It returns side-by-side usage data, customer counts, and average bills for each region, making it easy to identify geographic differences in energy consumption.

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