PG&E Public Datasets MCP Server
Access PG&E public energy data: monthly usage, billing, savings, and regional comparisons.
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What is the PG&E Public Datasets MCP Server?
The PG&E Public Datasets MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to PG&E Public Datasets via 8 tools. Access PG&E public energy data: monthly usage, billing, savings, and regional comparisons. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (8)
Tools for your AI Agents to operate PG&E Public Datasets
Ask your AI agent "Show monthly electricity usage by customer type." and get the answer without opening a single dashboard. With 8 tools connected to real PG&E Public Datasets data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
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One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
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PG&E Public Datasets MCP Server capabilities
8 toolsReturns 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
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
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
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
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
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
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)
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
What the PG&E Public Datasets MCP Server unlocks
Access PG&E Public Datasets directly from any AI agent and explore energy consumption, billing trends, efficiency savings, and regional comparisons without any authentication.
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
How it works
1. Subscribe to this server 2. No API key needed — completely free and public 3. Start exploring PG&E energy data from Claude, Cursor, or any MCP-compatible clientWho is this for?
- Energy Researchers — analyze consumption trends and efficiency program effectiveness
- Policy Makers — understand energy affordability and regional consumption disparities
- Clean Energy Companies — identify high-consumption areas for solar/EV product targeting
- Journalists — access public energy data for reporting and analysis
Frequently asked questions about the PG&E Public Datasets MCP Server
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 tool 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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Connect PG&E Public Datasets with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Give your AI agents the power of PG&E Public Datasets MCP Server
Production-grade PG&E Public Datasets MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.