AstrologyAPI MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect AstrologyAPI through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"astrologyapi": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using AstrologyAPI, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with AstrologyAPI through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the AstrologyAPI MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 8 tools from AstrologyAPI via MCP
Why Use LangChain with the AstrologyAPI MCP Server
LangChain provides unique advantages when paired with AstrologyAPI through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine AstrologyAPI MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across AstrologyAPI queries for multi-turn workflows
AstrologyAPI + LangChain Use Cases
Practical scenarios where LangChain combined with the AstrologyAPI MCP Server delivers measurable value.
RAG with live data: combine AstrologyAPI tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query AstrologyAPI, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain AstrologyAPI tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every AstrologyAPI tool call, measure latency, and optimize your agent's performance
AstrologyAPI MCP Tools for LangChain (8)
These 8 tools become available when you connect AstrologyAPI to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting AstrologyAPI to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAstrologyAPI + LangChain FAQ
Common questions about integrating AstrologyAPI MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
