How to Use the TzKT (Tezos Indexer & Explorer API) MCP in OpenAI Agents SDK
Access Tezos blockchain insights using your OpenAI Agents SDK. Build production agents that track everything from account history to network stats.
Works with every AI agent you already use
…and any MCP-compatible client
Connect TzKT (Tezos Indexer & Explorer API) MCP to OpenAI Agents SDK
Create your Vinkius account to connect TzKT (Tezos Indexer & Explorer 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.
Track Account Activity
The `get_account` tool pulls detailed data for any specific Tezos address. You'll know exactly what an account can do right out of the gate. It doesn't stop there; use `get_account_balance_history` to see every balance change over time, or run `get_account_report` to generate a full JSON activity summary for auditing.
Inspect Smart Contracts
Need to know how a contract works? The MCP Server gives you the raw code with `get_contract_code`, showing Michelson or Micheline language. You can also check what functions are available using `get_contract_entrypoints`. If you want to see what data that contract is storing, `get_contract_storage` pulls current or historical storage records. This helps your agent understand the contract's internal state.
Analyze Network Operations
Start by getting a snapshot of the network health using `get_statistics`. This gives you metrics like TPS and total volume. You can also track specific events. The `list_transactions` tool lets your agent filter transactions with advanced criteria, while `get_operations_by_hash` isolates all actions tied to one transaction hash.
Set up TzKT (Tezos Indexer & Explorer 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 TzKT (Tezos Indexer & Explorer API) tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives TzKT (Tezos Indexer & Explorer 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 TzKT (Tezos Indexer & Explorer 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="TzKT (Tezos Indexer & Explorer API) Agent",
instructions="You have access to TzKT (Tezos Indexer & Explorer 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 TzKT. 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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