SolarAnywhere API MCP Server for LlamaIndex 4 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add SolarAnywhere API as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to SolarAnywhere API. "
"You have 4 tools available."
),
)
response = await agent.run(
"What tools are available in SolarAnywhere API?"
)
print(response)
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.
LlamaIndex agents combine SolarAnywhere API tool responses with indexed documents for comprehensive, grounded answers. Connect 4 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the SolarAnywhere API MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the SolarAnywhere API MCP Server
LlamaIndex provides unique advantages when paired with SolarAnywhere API through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine SolarAnywhere API tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain SolarAnywhere API tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query SolarAnywhere API, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what SolarAnywhere API tools were called, what data was returned, and how it influenced the final answer
SolarAnywhere API + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the SolarAnywhere API MCP Server delivers measurable value.
Hybrid search: combine SolarAnywhere API real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query SolarAnywhere API to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying SolarAnywhere API for fresh data
Analytical workflows: chain SolarAnywhere API queries with LlamaIndex's data connectors to build multi-source analytical reports
SolarAnywhere API MCP Tools for LlamaIndex (4)
These 4 tools become available when you connect SolarAnywhere API to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting SolarAnywhere API to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSolarAnywhere API + LlamaIndex FAQ
Common questions about integrating SolarAnywhere API MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.