AstrologyAPI MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add AstrologyAPI as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 AstrologyAPI. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in AstrologyAPI?"
)
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 AstrologyAPI MCP Server
Empower your AI agent to orchestrate your celestial insights and astrological data with AstrologyAPI, the premier provider of global astrological calculations. By connecting AstrologyAPI to your agent, you transform complex birth chart generation, matchmaking analysis, and daily horoscope retrieval into a natural conversation. Your agent can instantly retrieve personalized predictions for any zodiac sign, calculate planetary positions based on birth metadata, and even generate numerology reports without you ever needing to navigate multiple spiritual apps or websites. Whether you are conducting a personal growth audit or coordinating spiritual wellness, your agent acts as a real-time astrological coordinator, providing accurate results from a single, authorized source.
LlamaIndex agents combine AstrologyAPI tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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
- Celestial Orchestration — Retrieve daily horoscopes covering personal, health, and career predictions for all zodiac signs.
- Chart Auditing — Calculate precise planetary and house positions based on date, time, and geographic coordinates.
- Matchmaking Management — Perform detailed compatibility analysis between individuals based on birth metadata.
- Traditional Insights — Access basic Panchang details and identify specialized planetary yogas.
- Spiritual Monitoring — Check Sade Sati status and generate comprehensive numerology reports using name and birth data.
The AstrologyAPI MCP Server exposes 8 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 AstrologyAPI to LlamaIndex via MCP
Follow these steps to integrate the AstrologyAPI 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 8 tools from AstrologyAPI
Why Use LlamaIndex with the AstrologyAPI MCP Server
LlamaIndex provides unique advantages when paired with AstrologyAPI through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine AstrologyAPI tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain AstrologyAPI tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query AstrologyAPI, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what AstrologyAPI tools were called, what data was returned, and how it influenced the final answer
AstrologyAPI + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the AstrologyAPI MCP Server delivers measurable value.
Hybrid search: combine AstrologyAPI real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query AstrologyAPI 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 AstrologyAPI for fresh data
Analytical workflows: chain AstrologyAPI queries with LlamaIndex's data connectors to build multi-source analytical reports
AstrologyAPI MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect AstrologyAPI to LlamaIndex via MCP:
check_sade_sati
Check Sade Sati status
get_ashtakvarga_score
Calculate ashtakvarga points
get_basic_panchang
Get daily panchang
get_daily_prediction
Get daily horoscope
get_house_positions
Get zodiac houses
get_matchmaking_details
Analyze birth match
get_planets_positions
Get birth chart planets
get_yoga_analysis
Analyze planetary yogas
Example Prompts for AstrologyAPI in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with AstrologyAPI immediately.
"Show me the daily prediction for 'Scorpio'."
"Get the birth chart planets for: Born 12 Oct 1990, 14:30 in London (Lat: 51.5, Lon: -0.12, TZ: 1)."
"Generate a numerology report for 'John Doe' born on 15 Jan 1985."
Troubleshooting AstrologyAPI MCP Server with LlamaIndex
Common issues when connecting AstrologyAPI to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAstrologyAPI + LlamaIndex FAQ
Common questions about integrating AstrologyAPI 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 AstrologyAPI 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 AstrologyAPI to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
