How to Use the Moonscan (Moonbeam Network Explorer) MCP in OpenAI Agents SDK

Q: Can my agent estimate gas fees using Moonscan (Moonbeam Network Explorer) and OpenAI Agents SDK?

Yes, your agent can call proxyethestimategas to calculate the required gas before executing. This allows your Python agent to validate transaction feasibility inside its safety guardrails.

Q: Can I trace Moonbeam contract interactions in my OpenAI dashboard?

Every call to tools like getcontractabi or getinternaltransactions is recorded in your run history. This lets you audit the exact inputs and outputs of your agent's blockchain interactions.

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Connect Moonscan (Moonbeam Network Explorer) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Moonscan (Moonbeam 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 Moonscan (Moonbeam Network Explorer) with OpenAI Agents SDK

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Track GLMR balances across OpenAI Agents SDK runs

The `get_glmr_balance` tool retrieves the exact balance of any Moonbeam address directly inside your run loop. Your agents use this raw state to make execution decisions without relying on delayed third-party indexers or manual block explorer lookups. When managing multi-address portfolios, the agent can batch requests with `get_glmr_balance_multi` to keep token allocations synchronized. This feeds clean ledger numbers straight to your OpenAI dashboard where you can trace exactly how your agent evaluated the wallet states.

Verify smart contracts with an MCP Server

The `get_contract_abi` tool extracts the interface of any deployed Moonbeam contract so your agent can format accurate transactions on the fly. This prevents execution failures before they hit the network, keeping your pipeline clean and predictable. To verify logic before running raw calls, your agent pulls the original code using `get_contract_source_code`. Combined with OpenAI's built-in guardrails, this ensures your agent never executes an unverified contract method that doesn't match your system rules.

Track transaction finality in Python pipelines

The `get_tx_receipt_status` tool checks whether a specific transaction succeeded or reverted on the Moonbeam network. Your agent depends on this check to handle transaction handoffs safely between specialized worker agents. If a transaction gets stuck, the agent uses `proxy_eth_gas_price` to check current gas fees and estimate the cost for a replacement using `proxy_eth_estimate_gas`. This keeps your automated pipelines moving without hanging on pending transactions.

Setup guide

Set up Moonscan (Moonbeam 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 Moonscan (Moonbeam Network Explorer) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Moonscan (Moonbeam 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 Moonscan (Moonbeam 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="Moonscan (Moonbeam Network Explorer) Agent",
            instructions="You have access to Moonscan (Moonbeam 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 Moonscan (Moonbeam Network Explorer) MCP in OpenAI Agents SDK

Install the SDK, then initialize the server streamable HTTP params with your Vinkius endpoint. Pass the server instance into the mcp_servers list when instantiating your agent. The client handles tool discovery automatically.

Yes, your agent can call proxy_eth_estimate_gas to calculate the required gas before executing. This allows your Python agent to validate transaction feasibility inside its safety guardrails.

Vinkius manages the underlying API keys and rate limits for you. Your agents make calls through a single endpoint token, preventing connection drops when querying tools like get_normal_transactions repeatedly.

Every call to tools like get_contract_abi or get_internal_transactions is recorded in your run history. This lets you audit the exact inputs and outputs of your agent's blockchain interactions.

No, this MCP Server only queries public ledger data such as GLMR balances, contract ABIs, and transaction history. Your private keys never touch the network, and Vinkius runs the server in an isolated sandbox.

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