How to Use the AstrologyAPI MCP in Pydantic AI

Get type-safe planetary data for your Pydantic AI agent applications.

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Connect AstrologyAPI MCP to Pydantic AI

Create your Vinkius account to connect AstrologyAPI to Pydantic AI 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 Pydantic AI

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Validate AstrologyAPI data with Pydantic AI

Every response from `get_planets_positions` is checked against your Pydantic models. If the data structure changes, your agent throws an error instead of guessing. It stops silent corruption at the source. You define the schema, and the server provides the data to match it.

Handle astrology errors in Pydantic AI

Use `check_sade_sati` and `get_yoga_analysis` with runtime validation. If the API returns junk, the agent fails loud and fast. You avoid hallucinated fields by enforcing strict types. Your codebase stays clean and predictable.

Build reliable agents using AstrologyAPI and Pydantic AI

Pass the toolset into your agent configuration to enable `get_matchmaking_details`. The framework ensures every parameter is accounted for before the request fires. It keeps your agent logic decoupled from the API. You get typed results back every time you query the server.

Setup guide

Set up AstrologyAPI MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "astrologyapi-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to AstrologyAPI tools.",
)

result = await agent.run("List recent AstrologyAPI transactions")
print(result.output)

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Common questions about AstrologyAPI MCP in Pydantic AI

Define your Pydantic models and the server will validate the response against them at runtime. It's the safest way to handle external data.

Your agent will catch the validation error immediately. There is no risk of the agent working with corrupted data.

Yes. The toolset works regardless of whether you use OpenAI, Anthropic, or local models. It is completely model-agnostic.

Just point the MCPToolset at your HTTP endpoint. The framework handles the rest of the connection.

The server processes your birth details in a secure, isolated memory space. No data is stored or logged after the tool returns the result.

Use it with your favorite AI tools

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