How to Use the Bitquery (Web3 Blockchain GraphQL APIs) MCP in OpenAI Agents SDK
Fetch raw blockchain data from 40+ chains directly inside your OpenAI Agents SDK workflows with this secure MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Bitquery (Web3 Blockchain GraphQL APIs) MCP to OpenAI Agents SDK
Create your Vinkius account to connect Bitquery (Web3 Blockchain GraphQL APIs) 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.
Live Blockchain Streaming via OpenAI Agents SDK
`query_v2` executes GraphQL queries against the Bitquery V2 Streaming API to grab real-time ledger data. Your agent pulls on-chain transfers, DEX trades, or smart contract events on Solana and Ethereum by calling this tool directly. Because this MCP Server integrates with the OpenAI framework, you pass the server endpoint, and the agent constructs the GraphQL payload itself. You get instant updates on balance shifts or token swaps without writing boilerplate query builders.
Historical Chain Analytics for Autonomous Agents
`query_v1` fetches older block data, historical token prices, and past transaction records across dozens of networks. This tool feeds your agent the exact historical context it needs to run deep financial analysis or audit wallets. The agent system handles the GraphQL execution behind the scenes. It maps the raw response data to its memory, letting you build agents that spot multi-year trends or trace ancient exploits automatically.
Secure Token Management in Production
`generate_token` creates an OAuth2 access token using your Client ID and Secret to authenticate every single request. This tool sets up the required BITQUERY_ACCESS_TOKEN credential so you don't have to hardcode keys in your agent configuration. You run this setup step once during the agent initialization phase. The OpenAI framework caches the tool definitions, ensuring your production runs remain authenticated and safe from credential leaks.
Set up Bitquery (Web3 Blockchain GraphQL APIs) 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 Bitquery (Web3 Blockchain GraphQL APIs) tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Bitquery (Web3 Blockchain GraphQL APIs) tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Bitquery (Web3 Blockchain GraphQL APIs) 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="Bitquery (Web3 Blockchain GraphQL APIs) Agent",
instructions="You have access to Bitquery (Web3 Blockchain GraphQL APIs) 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 Bitquery. 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 Bitquery (Web3 Blockchain GraphQL APIs) MCP in OpenAI Agents SDK
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