PG&E Data Portals MCP Server for Windsurf 10 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect PG&E Data Portals through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
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{
"mcpServers": {
"pge-data-portals": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About PG&E Data Portals MCP Server
Connect PG&E Data Portals to any AI agent and programmatically search, discover, and query PG&E's public energy datasets through natural conversation.
Windsurf's Cascade agent chains multiple PG&E Data Portals tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Dataset Search — Search the complete PG&E Data Portals catalog for energy-related datasets
- Energy Usage — Query electricity and gas consumption data by ZIP code and date range
- EV Adoption — Access electric vehicle registration and adoption trends by geographic area
- Solar Generation — Retrieve solar energy production and net energy metering (NEM) statistics
- Energy Efficiency — Analyze program participation, energy savings achieved, and cost-effectiveness
- Grid Infrastructure — Access distribution circuit, substation, and grid capacity data
- Date Range Queries — Filter any dataset by specific time periods for trend analysis
- Dataset Metadata — Get schema information and field descriptions for all datasets
The PG&E Data Portals MCP Server exposes 10 tools through the Vinkius. Connect it to Windsurf 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 Data Portals to Windsurf via MCP
Follow these steps to integrate the PG&E Data Portals MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using PG&E Data Portals
Open Cascade and ask: "Using PG&E Data Portals, help me...". 10 tools available
Why Use Windsurf with the PG&E Data Portals MCP Server
Windsurf provides unique advantages when paired with PG&E Data Portals through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
PG&E Data Portals + Windsurf Use Cases
Practical scenarios where Windsurf combined with the PG&E Data Portals MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from PG&E Data Portals and generate models, types, or handlers based on real API responses
Live debugging: query PG&E Data Portals tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from PG&E Data Portals and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine PG&E Data Portals data with Cascade's code generation to scaffold entire features in minutes
PG&E Data Portals MCP Tools for Windsurf (10)
These 10 tools become available when you connect PG&E Data Portals to Windsurf via MCP:
get_dataset_schema
Use this to understand what columns and data types are available before querying. The datasetId is obtained from search_datasets or list_all_datasets. Get the schema/metadata for a specific PG&E dataset
list_all_datasets
Each dataset includes name, description, ID, and metadata. Use this as a starting point to explore what data is available from PG&E — includes energy usage, EV adoption, solar generation, energy efficiency programs, and grid infrastructure datasets. List all available datasets in the PG&E Data Portals catalog
query_by_date_range
Specify the dataset ID and start/end dates to retrieve records within that time period. Use this for time-series analysis across any dataset type. Dataset ID from search_datasets. Dates in YYYY-MM-DD format. This is useful for year-over-year comparisons and trend analysis. Query any PG&E dataset filtered by a specific date range
query_dataset
Optional filters can be passed as key-value pairs to narrow results (e.g., zip_code, year, region). Use this to retrieve actual data records from any dataset in the PG&E Data Portals. Dataset IDs are obtained from search_datasets or list_all_datasets. Query a specific PG&E dataset with optional filters
query_energy_efficiency
), and investment amounts. Use this to analyze program effectiveness and ROI of energy efficiency initiatives. Optional programType filters by program category. Year is YYYY format. Query PG&E energy efficiency program data
query_energy_usage
Returns electricity usage aggregated by customer segment (residential, commercial, industrial, agricultural). Use this to analyze energy consumption patterns in specific geographic areas over time. ZIP code format: 5-digit (e.g., "94102"). Dates in YYYY-MM-DD format. Query PG&E energy consumption data by ZIP code and date range
query_ev_adoption
Use this to analyze EV adoption trends, identify high-adoption areas, and correlate with charging infrastructure. ZIP code is 5-digit format. Year is YYYY format (e.g., "2024"). Query electric vehicle adoption data by ZIP code and year
query_grid_infrastructure
Use this to understand grid capacity, identify areas needing upgrades, or analyze reliability metrics. Region filters by geographic area. dataType can filter by specific infrastructure type. Query PG&E grid infrastructure and distribution data
query_solar_generation
Use this to analyze solar adoption and production trends. Region can be a county name or service area identifier. Year is YYYY format. Query solar energy generation data by region and year
search_datasets
Use this to discover available datasets before querying specific data. Returns dataset names, descriptions, IDs, and metadata. Optional query parameter filters results by keyword. Search the PG&E Data Portals catalog for energy datasets
Example Prompts for PG&E Data Portals in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with PG&E Data Portals immediately.
"List all available PG&E datasets."
"Show me electricity usage for ZIP code 94102."
"Show EV adoption trends by ZIP code for 2024."
Troubleshooting PG&E Data Portals MCP Server with Windsurf
Common issues when connecting PG&E Data Portals to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
PG&E Data Portals + Windsurf FAQ
Common questions about integrating PG&E Data Portals MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect PG&E Data Portals with your favorite client
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Connect PG&E Data Portals to Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.