Bring Solar Irradiance
to Mastra AI
Learn how to connect NREL Solar Resource to Mastra AI and start using 2 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the NREL Solar Resource MCP Server?
Connect your AI agent to the National Renewable Energy Laboratory (NREL) Solar Resource API to analyze solar potential and access historical radiation data through natural conversation.
What you can do
- Solar Irradiance — Retrieve average solar irradiance data including Direct Normal Irradiance (DNI), Global Horizontal Irradiance (GHI), and Tilt at Latitude for specific coordinates.
- NSRDB Queries — Search the National Solar Radiation Database for the nearest datasets based on latitude/longitude, address, or Well-Known Text (WKT) geometry.
- Data Sourcing — Identify specific satellite or station-based datasets for renewable energy research and site assessment.
How it works
- Subscribe to this server
- Enter your NREL API Key
- Start querying solar data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Energy Analysts — quickly assess the solar potential of specific geographic locations for project feasibility.
- Researchers — locate relevant NSRDB datasets for climate and energy studies without manual API calls.
- Engineers — retrieve precise irradiance metrics for solar installation planning directly in your workflow.
Built-in capabilities (2)
Get average solar irradiance data for a location
Query nearest NSRDB datasets for a location
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and NREL Solar Resource tool infrastructure. Connect 2 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add NREL Solar Resource without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every NREL Solar Resource tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
NREL Solar Resource in Mastra AI
NREL Solar Resource and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect NREL Solar Resource to Mastra AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for NREL Solar Resource in Mastra AI
The NREL Solar Resource 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. All 2 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra AI 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, zero maintenance.
* 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
How Vinkius secures
NREL Solar Resource for Mastra AI
Every tool call from Mastra AI to the NREL Solar Resource MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I get solar irradiance for a specific coordinate?
Use the get_solar_resource tool by providing the latitude and longitude. The agent will return average DNI, GHI, and Tilt at Latitude data for that location.
Can I search for solar data using a physical address instead of coordinates?
Yes! The query_nsrdb_data tool allows you to provide an address string. The system will locate the nearest NSRDB datasets associated with that address.
What types of data sources can I filter by in the NSRDB?
When using query_nsrdb_data, you can use the type parameter to filter results by 'satellite' or 'station' data sources.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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