How to Use the Bobascan (Boba L2 Network Block Explorer API) MCP in AutoGen
Enable multi-agent debate and consensus over Boba L2 blockchain data using AutoGen.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Bobascan (Boba L2 Network Block Explorer API) MCP to AutoGen
Create your Vinkius account to connect Bobascan (Boba L2 Network Block Explorer API) to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Validate transaction status through agent debate
The `get_tx_receipt_status` tool gets the receipt status of any transaction on the Boba L2 network. In your AutoGen group chat, a verification agent calls this tool to confirm a transaction's success, while an audit agent checks `get_tx_list_internal` to trace internal value transfers. These agents debate whether the transaction conforms to your security rules. This consensus-driven approach prevents a single agent from misinterpreting raw blockchain status logs.
Run gas estimation via an AutoGen MCP Server
The `proxy_estimate_gas` tool calculates the gas required for a specific transaction payload. Your performance agent uses this estimate, while your treasury agent calls `get_ether_balance` to verify if the wallet has sufficient funds. They negotiate the optimal time to execute the transaction based on live network congestion. This ensures your automated scripts never submit transactions that fail due to out-of-gas errors.
Cross-reference token supplies across agents
The `get_token_supply` tool gets the total supply of any ERC20 token on the Boba L2 network. Your market analysis agent uses this metric, while a separate wallet agent tracks individual balances using `get_token_balance`. They compare these values to calculate market share and distribution percentages. By dividing the labor, your AutoGen agents deliver complex financial reports without human intervention.
Set up Bobascan (Boba L2 Network Block Explorer API) MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Bobascan (Boba L2 Network Block Explorer API) tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="Bobascan (Boba L2 Network Block Explorer API)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Bobascan (Boba L2 Network Block Explorer API) data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Bobascan (Boba L2 Network Block Explorer API)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Bobascan (Boba L2 Network Block Explorer API) data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Bobascan. 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 Bobascan (Boba L2 Network Block Explorer API) MCP in AutoGen
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