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AstrologyAPI MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect AstrologyAPI through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
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 AstrologyAPI "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in AstrologyAPI?"
    )
    print(result.data)

asyncio.run(main())
AstrologyAPI
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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.

Pydantic AI validates every AstrologyAPI tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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

  • 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 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 AstrologyAPI to Pydantic AI via MCP

Follow these steps to integrate the AstrologyAPI MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 8 tools from AstrologyAPI with type-safe schemas

Why Use Pydantic AI with the AstrologyAPI MCP Server

Pydantic AI provides unique advantages when paired with AstrologyAPI through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your AstrologyAPI integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your AstrologyAPI connection logic from agent behavior for testable, maintainable code

AstrologyAPI + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the AstrologyAPI MCP Server delivers measurable value.

01

Type-safe data pipelines: query AstrologyAPI with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple AstrologyAPI tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query AstrologyAPI and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock AstrologyAPI responses and write comprehensive agent tests

AstrologyAPI MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect AstrologyAPI to Pydantic AI via MCP:

01

check_sade_sati

Check Sade Sati status

02

get_ashtakvarga_score

Calculate ashtakvarga points

03

get_basic_panchang

Get daily panchang

04

get_daily_prediction

Get daily horoscope

05

get_house_positions

Get zodiac houses

06

get_matchmaking_details

Analyze birth match

07

get_planets_positions

Get birth chart planets

08

get_yoga_analysis

Analyze planetary yogas

Example Prompts for AstrologyAPI in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with AstrologyAPI immediately.

01

"Show me the daily prediction for 'Scorpio'."

02

"Get the birth chart planets for: Born 12 Oct 1990, 14:30 in London (Lat: 51.5, Lon: -0.12, TZ: 1)."

03

"Generate a numerology report for 'John Doe' born on 15 Jan 1985."

Troubleshooting AstrologyAPI MCP Server with Pydantic AI

Common issues when connecting AstrologyAPI to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

AstrologyAPI + Pydantic AI FAQ

Common questions about integrating AstrologyAPI MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your AstrologyAPI MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect AstrologyAPI to Pydantic AI

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.