How to Use the AstrologyAPI MCP in LangChain

Q: Can I use AstrologyAPI with LangChain to build a custom matchmaking app?

Yes. You can feed outputs from getmatchmakingdetails directly into LangChain's conversational memory or templates.

Q: Does LangChain trace AstrologyAPI tool inputs in LangSmith?

Yes. Every call to getplanetspositions or getbasicpanchang is fully traced, showing raw payloads and execution times.

Run complex Vedic calculations directly inside your LangChain reasoning loops using this MCP Server.

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Connect AstrologyAPI MCP to LangChain

Create your Vinkius account to connect AstrologyAPI to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup AstrologyAPI with LangChain

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Perplexity

Build multi-step Vedic matching chains

The `get_matchmaking_details` tool calculates compatibility scores by pulling birth chart details for two distinct profiles. Your LangChain agent can feed these matching metrics directly into subsequent steps to generate personalized relationship advice or compatibility reports. Since LangChain chains outputs to inputs, you can instantly route low compatibility scores to alternative analysis steps. Run `get_yoga_analysis` next to see if planetary alignments offset any initial negative matching indicators.

Trace astrological logic in LangSmith

The `get_planets_positions` tool maps out where every planet sits in the zodiac at a specific birth time. When your LangChain agent calls this, LangSmith logs the raw coordinate inputs and outputs so you can debug how your agent interprets planetary degrees. This observability lets you monitor latency and token costs for calls to `get_house_positions` as well. You see exactly how the agent decides which house houses which planet before it outputs a reading.

Route daily horoscopes through this MCP Server

The `get_daily_prediction` tool pulls raw forecast data based on zodiac signs. Your agent can run this tool inside a LangChain routing chain that detects a user's sign and immediately pulls their specific daily update. You can chain this with `get_basic_panchang` to provide a complete daily transit summary. The agent pulls both datasets, merges them, and formats a clean daily briefing without manual coding.

Setup guide

Set up AstrologyAPI MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes AstrologyAPI tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "astrologyapi-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent AstrologyAPI transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AstrologyAPI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about AstrologyAPI MCP in LangChain

Yes. You can feed outputs from `get_matchmaking_details` directly into LangChain's conversational memory or templates.

LangChain's tool calling agents catch exceptions from tools like `get_yoga_analysis` and can retry or route to a fallback chain.

Yes. Every call to `get_planets_positions` or `get_basic_panchang` is fully traced, showing raw payloads and execution times.

Yes. You can declare both tools in your agent's toolkit and let the agent decide when to call each one based on user queries.

Vinkius runs the astrology server in a secure sandbox, meaning your birth times and coordinates are never cached or stored after the tool runs.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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