PG&E Public Datasets Connector for AI agents.
8 live capabilities
Pull ZIP code energy usage and billing trends for utility research.
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Why people use PG&E Public Datasets
PG&E Public Datasets for Utility Data Analysis
This Connector changes that. You just ask your agent to pull the electricity usage for a list of ZIP codes, and it gives you a clean breakdown of the numbers. You get the data you need in seconds, ready for your report or your sales strategy.
What Vinkius changes
You get instant access to public utility data without handling any API keys or authentication.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Solar Sales Targeting
A sales lead asks the agent to find high-consumption ZIP codes to build a lead list for new solar installations.
- Real-world use case 02
Policy Analysis
A researcher uses compare_regions to see if rural areas face higher energy costs than urban centers to draft a report.
- Real-world use case 03
Trend Reporting
A journalist asks for yearly trends to write a story on the growth of data center energy use in California.
Complete set · 8capabilities
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.
01—04
4 capabilities in this set.
Part of 8 available through PG&E Public Datasets.
- 01 Capability
Compare regions
Get side-by-side figures for multiple ZIP codes to identify regional differences in usage and costs.
- 02 Capability
Get electricity by zip
Fetch monthly or annual electricity figures for specific neighborhoods or geographic areas.
- 03 Capability
Get gas by zip
Retrieve natural gas usage data to analyze heating demand or identify electrification opportunities.
- 04 Capability
Get monthly usage
Get detailed monthly consumption figures broken down by ZIP code and customer segment.
05—08
4 capabilities in this set.
Part of 8 available through PG&E Public Datasets.
- 05 Capability
Get savings data
Access metrics on energy efficiency program participation, costs, and total savings.
- 06 Capability
Get billing data
Pull average costs and billing metrics by region or ZIP code to see how energy prices affect different customers.
- 07 Capability
Get usage by customer type
Breakdown total energy use for residential, commercial, industrial, and agricultural sectors.
- 08 Capability
Get yearly trends
See how electricity and gas demand has shifted over several years to spot long-term growth.
Set up in minutes
One URL. Then ask PG&E Public Datasets to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use PG&E Public Datasets from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_jU4H9PpngMJSWTMWiUpgHMUI2qIOmttvQ6Nykwgk/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it PG&E Public Datasets, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable PG&E Public Datasets for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_jU4H9PpngMJSWTMWiUpgHMUI2qIOmttvQ6Nykwgk/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the PG&E Public Datasets URL.
- Step 03
Save and start
Save the connection and enable PG&E Public Datasets in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"pge-public-datasets": {
"url": "https://edge.vinkius.com/vk_preview_jU4H9PpngMJSWTMWiUpgHMUI2qIOmttvQ6Nykwgk/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using PG&E Public Datasets
Open Agent mode in chat and ask: "Using PG&E Public Datasets, help me...". 8 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"pge-public-datasets": {
"url": "https://edge.vinkius.com/vk_preview_jU4H9PpngMJSWTMWiUpgHMUI2qIOmttvQ6Nykwgk/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using PG&E Public Datasets
Ask Copilot: "Using PG&E Public Datasets, help me...". 8 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"pge-public-datasets": {
"url": "https://edge.vinkius.com/vk_preview_jU4H9PpngMJSWTMWiUpgHMUI2qIOmttvQ6Nykwgk/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using PG&E Public Datasets
Open Cascade and ask: "Using PG&E Public Datasets, help me...". 8 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"pge-public-datasets": {
"url": "https://edge.vinkius.com/vk_preview_jU4H9PpngMJSWTMWiUpgHMUI2qIOmttvQ6Nykwgk/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using PG&E Public Datasets
Ask Cline: "Using PG&E Public Datasets, help me...". 8 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add pge-public-datasets --transport http "https://edge.vinkius.com/vk_preview_jU4H9PpngMJSWTMWiUpgHMUI2qIOmttvQ6Nykwgk/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using PG&E Public Datasets
Ask Claude: "Using PG&E Public Datasets, show me...". 8 tools are ready
Where the request belongs
Work PG&E Public Datasets can move forward.
This is for the energy analyst, policy researcher, or market strategist who needs hard data on utility usage without the headache of manual data collection.
Energy Researcher
Analyzes consumption patterns and efficiency program ROI on a Tuesday afternoon.
Policy Maker
Investigates regional energy affordability and disparities to draft new regulations.
Clean Energy Sales Lead
Identifies high-consumption areas to build targeted lead lists for solar products.
Data Journalist
Pulls public records to write reports on energy demand and utility trends.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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UtilityAPI
Access utility billing, usage data, and meter info from PG&E and 100+ US utilities via a single API.
OpenEI
US electricity rate intelligence. query utility rates by location, sector, and tariff via AI for solar and energy analysis.
EIA State Energy — U.S. Regional Energy Data
State-level energy data spanning 65 years: production, consumption, prices, and expenditures for ALL energy sources by state and sector (SEDS), the comprehensive Monthly Energy Review (MER), and nuclear reactor outage tracking.
NREL Energy Data
Access renewable energy and fuel data via NREL. track fuel stations, solar resources, and utility rates directly from your AI agent.
U.S. EIA Energy Data
Equip your AI agent to access official U.S. energy statistics, track electricity generation, and monitor fuel prices via the EIA API.
Bring your own AI
Change the model, client or framework. Keep PG&E Public Datasets connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about PG&E Public Datasets.
The practical details behind the request, access and result.
Can I use the PG&E Public Datasets MCP to find high-usage neighborhoods?
Yes, you can use it to identify specific areas with high electricity demand by pulling data for various ZIP codes.
Does the PG&E Public Datasets MCP require an API key?
No, it's completely free and doesn't require any authentication or API keys to use.
Can I compare energy costs between different ZIP codes with this?
Yes, you can pull side-by-side billing and usage data for multiple regions to see how costs differ.
Is the PG&E Public Datasets MCP good for solar sales research?
It's great for identifying high-consumption areas to target for solar products or other clean energy services.
Does this Connector show industrial vs residential energy use?
Yes, it breaks down consumption by residential, commercial, industrial, and agricultural categories.
Can I see how much energy was saved by efficiency programs?
Yes, you can access data on program participation and total savings to see the impact of various initiatives.
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.
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.
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.
One connection away
Give your agent a direct line to PG&E Public Datasets.
Connect PG&E Public Datasets once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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