How to Use the Moonriver (Moonriver Block Explorer API) MCP in Mastra AI

Build complex blockchain workflows in Mastra AI using reliable Moonriver tools.

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Connect Moonriver (Moonriver Block Explorer API) MCP to Mastra AI

Create your Vinkius account to connect Moonriver (Moonriver Block Explorer API) 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 Moonriver (Moonriver Block Explorer API) with Mastra AI

Ask AI about this MCP

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Claude

Perplexity

Automated workflow logic

Chain `get_block` and `list_extrinsics` into your agent's decision tree. If a transaction fails to appear, your Mastra AI workflow can trigger a retry or flag the issue for review. This logic keeps your operations moving without constant human oversight. It handles the back-and-forth between the chain and your business logic.

Conditional blockchain monitoring

Use `get_account_info` to trigger specific branches in your agent's code. If an account balance drops below a threshold, your workflow executes the next step in your script. It removes the need to write custom indexers. You just call the tools and let the Mastra AI engine manage the execution flow.

Structured data retrieval

Pull `get_metadata` to verify chain configuration before executing transactions. This ensures your agent always has the correct context for its operations. It makes your agents smarter about their environment. You spend less time debugging network mismatches and more time building features.

Setup guide

Set up Moonriver (Moonriver Block Explorer API) 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 Moonriver (Moonriver Block Explorer API) 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: "moonriver-moonriver-block-explorer-api-mcp-client",
  servers: {
    "moonriver-moonriver-block-explorer-api-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Moonriver (Moonriver Block Explorer API) transactions"
);
console.log(result.text);

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Common questions about Moonriver (Moonriver Block Explorer API) MCP in Mastra AI

Import the MCP client into your agent definition. Register the tools to enable your agents to interact with the Moonriver (Moonriver Block Explorer API) directly.

Yes. You can create multi-step agents that perform complex tasks like monitoring transfers and updating internal records.

Yes. You can configure your agents to retry tool calls if the network experiences temporary latency.

Enable the approval flag in your agent configuration. This forces the agent to ask you before it executes a sensitive operation.

The server only reads public data from the chain. Your internal agent state and logic remain isolated within your infrastructure.

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