How to Use the Metisscan (Metis L2 Network Explorer) MCP in OpenAI Agents SDK

Q: How do I connect Metisscan (Metis L2 Network Explorer) to my OpenAI Agents SDK project?

Install the required dependencies and initialize the MCPServerStreamableHttp class with your endpoint. Pass the server instance into your agent constructor to enable auto-discovery of all 26 tools.

Q: Does Metisscan (Metis L2 Network Explorer) work with OpenAI Agents SDK tool caching?

Yes, you should set cacheToolsList=True to improve performance during agent runtime. This prevents unnecessary re-fetching of tool definitions when your agent is mid-task.

Query Metis L2 directly from your OpenAI Agents SDK production pipeline. Inspect contracts and state with zero overhead.

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Connect Metisscan (Metis L2 Network Explorer) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Metisscan (Metis L2 Network Explorer) to OpenAI Agents SDK 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 Metisscan (Metis L2 Network Explorer) with OpenAI Agents SDK

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Claude

Perplexity

Real-time L2 inspection for OpenAI Agents SDK

Your agent fetches live block data and transaction logs without leaving the Python runtime. It uses `eth_block_number` and `get_transaction` to verify chain state before taking action. This MCP Server provides the exact data your agent needs to validate assumptions. By calling `get_smart_contract`, the agent confirms deployed logic before executing sensitive operations.

Automated address analysis

Track token movements and balance shifts across the Metis network. Use `get_address_tokens` and `get_address_transactions` to build a clear picture of any wallet's history. Your agent parses this data to detect unusual activity or confirm successful transfers. It handles complex address counters via `get_address_counters` to keep your monitoring logic precise.

GraphQL power for your agent

Execute custom queries against the network indexer using `graphql_query`. This allows your agent to fetch specific data points that standard RPC methods might miss. It is the fastest way to aggregate network events for analysis. Your agent gets the raw truth from the explorer, ensuring its decisions rely on current chain history.

Setup guide

Set up Metisscan (Metis L2 Network Explorer) MCP in OpenAI Agents SDK

Prerequisites

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

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Metisscan (Metis L2 Network Explorer) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Metisscan (Metis L2 Network Explorer) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Metisscan (Metis L2 Network Explorer) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Metisscan (Metis L2 Network Explorer) Agent",
            instructions="You have access to Metisscan (Metis L2 Network Explorer) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Metisscan (Metis L2 Network Explorer) MCP in OpenAI Agents SDK

Install the required dependencies and initialize the `MCPServerStreamableHttp` class with your endpoint. Pass the server instance into your agent constructor to enable auto-discovery of all 26 tools.

Yes, you should set `cacheToolsList=True` to improve performance during agent runtime. This prevents unnecessary re-fetching of tool definitions when your agent is mid-task.

The SDK handles the JSON responses directly. You can use your existing Python logic to format or filter the output returned by the server.

You rely on your SDK's built-in validation layer. Define strict schemas for your agent's tool calls to ensure it only interacts with the network as intended.

No. The server only reads public blockchain data like transaction hashes, contract code, and token balances. It never touches your private keys or signing authority.

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