How to Use the BlockPi (Distributed RPC Network) MCP in OpenAI Agents SDK

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Connect BlockPi (Distributed RPC Network) MCP to OpenAI Agents SDK

Create your Vinkius account to connect BlockPi (Distributed RPC Network) 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 BlockPi (Distributed RPC Network) with OpenAI Agents SDK

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Run raw RPC queries via the OpenAI Agents SDK

The `rpc_call` tool lets your agent execute raw blockchain queries across multiple networks without managing node infrastructure. You write the agent logic, and the agent issues requests like eth_getBalance directly to the BlockPi network. By using this MCP server, your OpenAI agent handles the JSON-RPC complexity behind the scenes. Built-in guardrails validate these node calls before execution, keeping your production agent system safe from malformed payloads.

Track RPC usage directly inside your agent loops

The `get_ru_consumed` and `get_ru_balance` tools expose real-time Request Unit metrics directly to your agent workflows. Your system can query these tools to decide if it needs to switch nodes or alert your team. Instead of letting your application crash from exhausted quotas, your python script checks the current balance dynamically. This prevents unexpected downtime when your production workloads spike.

Monitor wallet balances to enforce agent budget limits

The `get_wallet_balance` and `get_package_expiration` tools allow your agent to track spending limits and package timelines in USD. You can build a supervisor agent that checks these values before letting worker agents execute heavy RPC tasks. This setup stops runaway loops from burning through your node budget. The OpenAI developer dashboard logs every single tool call, giving you a clear audit trail of your RPC expenditures.

Setup guide

Set up BlockPi (Distributed RPC Network) 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 BlockPi (Distributed RPC Network) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives BlockPi (Distributed RPC Network) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate BlockPi (Distributed RPC Network) 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="BlockPi (Distributed RPC Network) Agent",
            instructions="You have access to BlockPi (Distributed RPC Network) 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 BlockPi (Distributed RPC Network) MCP in OpenAI Agents SDK

Install the SDK and configure MCPServerStreamableHttp with your Vinkius endpoint. Pass this server instance in the mcp_servers list when initializing your Agent.

Yes, you can filter the exposed tool list during initialization. This prevents the agent from executing raw rpc_call functions if you only want it monitoring balances.

Set cacheToolsList to True in your server configuration to avoid redundant schema lookups. This keeps your agent startup times fast and saves network overhead.

The SDK catches the raw JSON-RPC error and passes it back to your agent loop. Your agent can then retry the call or switch to a different network.

Only raw JSON-RPC payloads and wallet address queries pass through this server. This MCP setup runs in an ephemeral sandbox, meaning your private keys and request histories are never stored or logged on our infrastructure.

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