How to Use the Wemix Explorer MCP in OpenAI Agents SDK
Get deep blockchain insights with your OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Wemix Explorer MCP to OpenAI Agents SDK
Create your Vinkius account to connect Wemix 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.
Query Block Data Using the MCP Server
The `get_block` tool lets you pull detailed info for any specific block. You can verify exactly what happened on the chain at a given point in time. It's perfect for auditing. This function gives you everything needed—the full contents of the block, including all associated transactions and metadata.
Tracking Token Movements with OpenAI Agents SDK
Need to know who moved what? Use `list_account_transfers` to get a complete list of token movements for an account. This tracks transfers across the whole network. Beyond just listing them, you can also call `get_token` to inspect details on any specific token type found during your investigation.
Monitoring Network Activity via MCP Server
Don't want to dig through hundreds of records? Start with `list_events` to fetch a summary list of all recorded events. This gives you an overview of activity across the entire Wemix chain. Then, if you spot something interesting, call `get_event` to pull the deep details on that specific event. It's how you track down exactly what happened.
Set up Wemix Explorer MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Wemix Explorer tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Wemix 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 Wemix Explorer tools and returns structured results. Copy the full example on the right to get started.
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="Wemix Explorer Agent",
instructions="You have access to Wemix Explorer 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 Wemix Explorer. 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 Wemix Explorer MCP in OpenAI Agents SDK
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