SolarAnywhere API MCP Server for Pydantic AI 4 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect SolarAnywhere API through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to SolarAnywhere API "
"(4 tools)."
),
)
result = await agent.run(
"What tools are available in SolarAnywhere API?"
)
print(result.data)
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.
Pydantic AI validates every SolarAnywhere API tool response against typed schemas, catching data inconsistencies at build time. Connect 4 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the SolarAnywhere API MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 4 tools from SolarAnywhere API with type-safe schemas
Why Use Pydantic AI with the SolarAnywhere API MCP Server
Pydantic AI provides unique advantages when paired with SolarAnywhere API through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your SolarAnywhere API integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your SolarAnywhere API connection logic from agent behavior for testable, maintainable code
SolarAnywhere API + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the SolarAnywhere API MCP Server delivers measurable value.
Type-safe data pipelines: query SolarAnywhere API with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple SolarAnywhere API tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query SolarAnywhere API and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock SolarAnywhere API responses and write comprehensive agent tests
SolarAnywhere API MCP Tools for Pydantic AI (4)
These 4 tools become available when you connect SolarAnywhere API to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting SolarAnywhere API to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiSolarAnywhere API + Pydantic AI FAQ
Common questions about integrating SolarAnywhere API MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.