How to Use the Ankr (Web3 Node API) MCP in OpenAI Agents SDK
Spin up production-ready OpenAI agents that query real-time blockchain data and execute transactions with built-in guardrails.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Ankr (Web3 Node API) MCP to OpenAI Agents SDK
Create your Vinkius account to connect Ankr (Web3 Node API) 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.
Verify wallet balances and assets across chains
The `ankr_getAccountBalance` tool pulls live token balances directly from multiple blockchains into your agent's runtime. Your agent uses this to inspect wallet holdings instantly before triggering any conditional logic. By combining this with `ankr_getNFTsByOwner` and `ankr_getInteractions`, your system builds a complete profile of any address. This lets your OpenAI agents run compliance checks using this MCP Server without writing custom parsing scripts.
Run safe contract calls via the OpenAI Agents SDK
The `eth_call` tool executes read-only smart contract operations directly through the Ankr MCP Server. This allows your agent to query contract state without spending gas or modifying the state. When it's time to write data, the agent uses `eth_estimateGas` and `eth_sendRawTransaction`. OpenAI's guardrails intercept these calls, ensuring your agent never submits a transaction that exceeds your specified gas limit.
Fetch raw block data for real-time analysis
The `eth_getBlockByNumber` tool retrieves complete block details to feed your analytical agents. Your agent monitors chain activity by comparing block heights and verifying receipts. Use `eth_getTransactionReceipt` alongside `eth_getLogs` to track specific events. This setup feeds clean, structured log data directly into your OpenAI tracing dashboard for instant debugging.
Set up Ankr (Web3 Node API) 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 Ankr (Web3 Node API) tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Ankr (Web3 Node API) tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Ankr (Web3 Node API) 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="Ankr (Web3 Node API) Agent",
instructions="You have access to Ankr (Web3 Node API) 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 Ankr. 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 Ankr (Web3 Node API) MCP in OpenAI Agents SDK
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