How to Use the AstrologyAPI MCP in Mastra AI

Build complex astrology workflows with Mastra AI and this MCP Server.

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Connect AstrologyAPI MCP to Mastra AI

Create your Vinkius account to connect AstrologyAPI to Mastra 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 Mastra AI

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Perplexity

Automated matchmaking logic for Mastra AI

Chain multiple tools to create a deep analysis workflow. You can run `get_matchmaking_details` followed by `get_yoga_analysis` to build a complete compatibility report. Your agent handles the branching logic if the results show a low score. It creates a robust automated process for your users.

Scheduled astrology agents with Mastra AI

Trigger daily horoscope updates using your workflow engine. By combining `get_daily_prediction` with your internal notification system, you keep users informed automatically. If the tool call fails, the framework retries the operation. You get reliable execution for every scheduled task.

Complex house position analysis

Map out zodiac house positions for specific birth times. Using `get_house_positions` as a node in your workflow lets you pass data into downstream agents for custom interpretations. Your pipeline manages the state between steps. You build sophisticated astrology tools that run without manual intervention.

Setup guide

Set up AstrologyAPI MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All AstrologyAPI tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "astrologyapi-mcp-client",
  servers: {
    "astrologyapi-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "AstrologyAPI Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to AstrologyAPI tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent AstrologyAPI transactions"
);
console.log(result.text);

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Common questions about AstrologyAPI MCP in Mastra AI

You instantiate the MCPClient within your Mastra configuration. This adds the toolset to your agent's available actions automatically.

You absolutely can. Each tool is available as a step in your workflow, allowing you to build multi-stage sequences that process astrology data.

Yes, you can enable requireToolApproval in your client settings. This forces a human to confirm the agent's actions before it executes any astrology tool.

The server reports errors directly to the agent framework. You can define retry policies in Mastra to handle temporary connection drops.

All birth details are processed in an encrypted memory space that clears after every execution. Your data never persists on our infrastructure.

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