SolarAnywhere API MCP Server for OpenAI Agents SDK 4 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect SolarAnywhere API through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="SolarAnywhere API Assistant",
instructions=(
"You help users interact with SolarAnywhere API. "
"You have access to 4 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from SolarAnywhere API"
)
print(result.final_output)
asyncio.run(main())
* 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 SolarAnywhere API MCP Server
Empower your AI agent to orchestrate your entire solar energy research and site auditing workflow with SolarAnywhere, the authoritative source for high-resolution solar irradiance data. By connecting the SolarAnywhere API to your agent, you transform complex meteorological searches into a natural conversation. Your agent can instantly retrieve real-time irradiance levels, audit typical meteorological year (TMY) data, and query specific site metadata without you ever touching a technical portal. Whether you are conducting renewable energy research or managing regional solar fleet constraints, your agent acts as a real-time solar consultant, ensuring your data is always verified and precise.
The OpenAI Agents SDK auto-discovers all 4 tools from SolarAnywhere API through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries SolarAnywhere API, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Irradiance Auditing — Retrieve real-time Global Horizontal Irradiance (GHI) and Direct Normal Irradiance (DNI) data for any coordinate pair instantly.
- Site Oversight — Audit all registered solar sites in your catalog to maintain a clear view of regional distribution and scale.
- Weather Discovery — Query Typical Meteorological Year (TMY) data to understand long-term solar potential for your energy projects.
- Atmospheric Intelligence — Retrieve temperature and irradiance metadata to assist in deep-dive solar performance classification.
- Operational Monitoring — Check API status to ensure your solar research workflow is always operational.
The SolarAnywhere API MCP Server exposes 4 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 SolarAnywhere API to OpenAI Agents SDK via MCP
Follow these steps to integrate the SolarAnywhere API MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 4 tools from SolarAnywhere API
Why Use OpenAI Agents SDK with the SolarAnywhere API MCP Server
OpenAI Agents SDK provides unique advantages when paired with SolarAnywhere API through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
SolarAnywhere API + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the SolarAnywhere API MCP Server delivers measurable value.
Automated workflows: build agents that query SolarAnywhere API, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries SolarAnywhere API, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through SolarAnywhere API tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query SolarAnywhere API to resolve tickets, look up records, and update statuses without human intervention
SolarAnywhere API MCP Tools for OpenAI Agents SDK (4)
These 4 tools become available when you connect SolarAnywhere API to OpenAI Agents SDK via MCP:
check_api_status
Check if the SolarAnywhere service is operational
get_solar_irradiance
Get real-time solar irradiance data for a specific location
get_typical_solar_year
Get Typical Meteorological Year (TMY) solar data for a location
list_solar_sites
List all solar sites registered in your SolarAnywhere account
Example Prompts for SolarAnywhere API in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with SolarAnywhere API immediately.
"Get solar irradiance for latitude 34.0522 and longitude -118.2437 using SolarAnywhere."
"Show Typical Meteorological Year data for 'Napa Valley'."
"List all registered solar sites in my account."
Troubleshooting SolarAnywhere API MCP Server with OpenAI Agents SDK
Common issues when connecting SolarAnywhere API to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
SolarAnywhere API + OpenAI Agents SDK FAQ
Common questions about integrating SolarAnywhere API MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect SolarAnywhere API with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect SolarAnywhere API to OpenAI Agents SDK
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.