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How to Use the Meld MCP in OpenAI Agents SDK

Build production-ready OpenAI Agents SDK pipelines that check live multi-chain wallet balances using the Meld MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

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OpenAI Agents SDK

Connect Meld MCP to OpenAI Agents SDK

Create your Vinkius account to connect Meld 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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Multi-chain tracking without the custom MCP Server headache

Stop writing custom indexing pipelines for five different chains. It's a waste of engineering hours. This MCP Server lets your OpenAI agents fetch live balances and history directly through a single endpoint. When your agent calls `get_wallet_details` or lists history via `list_transactions`, OpenAI's built-in guardrails validate the payload before execution. You get clean, verified data without worrying about silent failures in production.

Real-time exchange rates for financial agents

Trading and portfolio tracking need real-time data, not cached guesses. Your agent can query current market pricing on demand to calculate accurate portfolio values across different networks. By calling `get_exchange_rates` alongside `list_assets`, the agent handles complex cross-currency math on the fly. You can set up specialized agents that hand off pricing calculations to a dedicated math agent, all tracked in your OpenAI dashboard.

Automated network discovery and asset search

Blockchains change, and new tokens pop up constantly. Instead of hardcoding asset lists, let your agent search the market dynamically to find specific contract addresses and network parameters. Running `search_assets` or querying `list_networks` lets the agent adapt to new tokens without a code redeploy. The agent discovers the network rules, pulls the asset spec, and presents the clean data back to your user.

Setup guide

Set up Meld 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. 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. 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 Meld tools at runtime.

  3. 3

    Create your Agent

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

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Meld 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="Meld Agent",
            instructions="You have access to Meld tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Meld. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Meld MCP in OpenAI Agents SDK

Install `openai-agents` via pip, then initialize `MCPServerStreamableHttp` with your Vinkius endpoint. Pass this server instance inside the `mcp_servers` list when creating your Agent constructor.
Yes, but you should enable `cacheToolsList=True` in the server parameters to avoid discovery overhead. For heavy traffic, we recommend setting up a local Redis cache to handle rapid rate queries.
The SDK uses built-in tracing and agent handoffs to gracefully retry failed requests. If `list_transactions` hits a limit, the agent catches the error, waits, and retries without crashing your run.
Yes. You can configure the agent's tool access during initialization. This prevents a general-purpose agent from calling administrative tools like `list_wallets` if it only needs asset searches.
Your blockchain wallet addresses, transaction histories, and account balances are processed in an ephemeral V8 sandbox. Vinkius never stores this financial data, and your credentials are encrypted end-to-end.

Start using the Meld MCP today

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