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How to Use the Metisscan (Metis L2 Network Explorer) MCP in Mastra AI

Build resilient, auto-retrying Metis L2 workflows by feeding Metisscan data directly into Mastra AI agents.

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Connect Metisscan (Metis L2 Network Explorer) MCP to Mastra AI

Create your Vinkius account to connect Metisscan (Metis L2 Network Explorer) 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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Automate Multi-Step Metis Workflows with Mastra AI

This MCP Server connects your workflow engine directly to tools like `get_address_transactions` and `get_transaction_logs`. Your agents pull raw event logs from the Metis network and decide what action to take next based on actual on-chain events. Mastra AI manages these complex execution trees to route Metis transaction logs with built-in conditional branching. If a transaction check fails, the workflow automatically branches to alert your team or retry the check.

Run Resilient Gas Estimations

Invoking `eth_estimate_gas` and `eth_get_balance` lets your agents verify transaction feasibility before sending payloads to the sequencer. Our agent checks if the target wallet has enough METIS to cover the estimated gas limit. Because Mastra AI handles automatic retries with exponential backoff, temporary network congestion on Metis L2 won't break your automation. The agent waits out the spike and retries the gas estimation safely.

Verify Smart Contract Configurations

Calling `get_smart_contract_verification_config` allows your Mastra AI agent to inspect the compiler settings of any deployed Metis contract. Your agent analyzes the compiler settings and EVM versions to flag unverified or suspicious deployments. You can build human-in-the-loop approvals directly into this verification pipeline. Mastra AI pauses the workflow and prompts a developer before executing any automated interactions with the queried contract.

Setup guide

Set up Metisscan (Metis L2 Network Explorer) 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Metisscan (Metis L2 Network Explorer) tools become native Mastra tools.

  4. 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: "metisscan-metis-l2-network-explorer-mcp-client",
  servers: {
    "metisscan-metis-l2-network-explorer-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Metisscan (Metis L2 Network Explorer) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Metisscan (Metis L2 Network Explorer) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Metisscan (Metis L2 Network Explorer) transactions"
);
console.log(result.text);

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Metisscan. 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 Metisscan (Metis L2 Network Explorer) MCP in Mastra AI

Instantiate the `MCPClient` pointing to your Vinkius URL and call `listTools` to retrieve the active tools. You then spread those tools directly into your Mastra agent definition.
Yes, Mastra AI uses its native workflow engine to retry failed calls to endpoints like `get_block` or `graphql_query`. You configure the backoff strategy directly in your workflow step definition.
Yes, you can set `requireToolApproval` on critical actions like `eth_call`. This ensures your agent never executes an on-chain read or simulation without your explicit sign-off.
The `graphql_query` tool returns raw JSON data back to Mastra AI. Your workflow should parse this data in a dedicated step to avoid overwhelming the agent's context window.
No, all queries for contract code, ABIs, and transaction histories are routed through a zero-trust V8 sandbox on Vinkius. Your private infrastructure and query parameters remain completely isolated from outside eyes.

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