How to Use the AstrologyAPI MCP in Google ADK

Bring precise zodiac calculations into your Google ADK enterprise agent workflow.

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Connect AstrologyAPI MCP to Google ADK

Create your Vinkius account to connect AstrologyAPI to Google ADK 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 Google ADK

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Perplexity

Connect Google ADK agents to planetary math

Use `get_ashtakvarga_score` to feed complex point values into your BigQuery tables. Your agent acts on this data to update your enterprise records. It bridges the gap between raw astrological math and your existing cloud infrastructure. You see the results in your logs immediately.

Scale horoscope reasoning with Google ADK

Your agent processes long-context prompts using `get_daily_prediction` and `get_basic_panchang`. The 1M token window allows for deep analysis of historical charts. It offloads the calculation to the server while the agent keeps the context. You get precise insights without managing local state.

Filter AstrologyAPI tools in Google ADK

Use the tool_names filter to expose only `get_house_positions` to specific agents. This keeps your agent's decision space clean and focused. It forces the model to ignore irrelevant tools. You restrict access to sensitive matchmaking data by limiting the toolset per agent.

Setup guide

Set up AstrologyAPI MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with AstrologyAPI tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="AstrologyAPI_agent",
    model="gemini-2.0-flash",
    instruction="You have access to AstrologyAPI tools via MCP.",
    tools=mcp_tools,
)

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Why Choose Vinkius

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Common questions about AstrologyAPI MCP in Google ADK

Initialize an McpToolset using your server URL. Pass this object to the LlmAgent to start calling tools.

Yes. The server works over Stdio or HTTP, letting you deploy it alongside your other cloud-native services.

The server provides the data, and your Gemini model handles the reasoning. It's built for large-scale data processing.

You get full access to all eight tools, including planetary positions and yoga analysis. You can filter them to suit your needs.

The server operates in an ephemeral sandbox. Your birth date inputs are never persisted and are wiped once the tool execution finishes.

Use it with your favorite AI tools

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

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