How to Use the Galxe MCP in Mastra AI

Q: How do I register the Galxe tools in Mastra AI?

Initialize the MCPClient class with your Vinkius endpoint URL. Call mcpClient.listTools() and spread the returned array into your Agent configuration.

Q: How does Mastra AI handle Galxe quest eligibility logic?

You build a conditional branch triggered by checkquesteligibility. The agent routes the user down different paths depending on whether the tool returns a pass or fail status.

Q: Do I need to manually approve credential changes?

You can set requireToolApproval for any write operations. The workflow halts execution until a human admin confirms the modification.

Build fault-tolerant Galxe credential workflows and automated community checks using Mastra AI.

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Connect Galxe MCP to Mastra AI

Create your Vinkius account to connect Galxe 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 Galxe with Mastra AI

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Automated Mastra AI Workflows

The `mutate_credential_items` tool writes new eligible users directly into your Galxe API credentials. Mastra wraps this operation in conditional logic, allowing you to add users only after they pass a custom external verification step. Network requests in Web3 fail constantly. You configure the framework to automatically retry the mutation with exponential backoff if the initial API call drops.

Conditional Quest Verification

Running `check_quest_eligibility` dictates the next step in your community pipeline. If the user qualifies, the workflow proceeds to issue a reward; if they fail, it branches to a notification system to tell them what they missed. You map these branches out before deploying. The MCP Server acts as the decision engine, feeding hard data from Galxe into your Mastra state machine.

Sync Space Leaderboards

Periodic cron jobs can hit `get_space_leaderboard` to pull the latest loyalty points. Your agent ingests this array and updates your internal database or Discord server without human input. Tracking Twitter influence requires the `get_starboard_leaderboard` tool. Your workflow pulls these rankings daily and triggers alerts when a specific user breaks into the top ten.

Setup guide

Set up Galxe 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 Galxe 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: "galxe-mcp-client",
  servers: {
    "galxe-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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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 Galxe. 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 Galxe MCP in Mastra AI

Initialize the `MCPClient` class with your Vinkius endpoint URL. Call `mcpClient.listTools()` and spread the returned array into your Agent configuration.

Built-in exponential backoff handles temporary network drops automatically. If `mutate_credential_items` hits a rate limit, the framework pauses and tries again based on your retry parameters.

You build a conditional branch triggered by `check_quest_eligibility`. The agent routes the user down different paths depending on whether the tool returns a pass or fail status.

You can set `requireToolApproval` for any write operations. The workflow halts execution until a human admin confirms the modification.

Vinkius routes your API keys and workflow states through an isolated zero-trust architecture. The environment executes the request and immediately self-destructs, ensuring credential data never persists on disk.

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