How to Use the Gnosisscan (Gnosis Chain Explorer) MCP in AutoGen
Use the Gnosisscan (Gnosis Chain Explorer) MCP server to give your AutoGen agents direct access to on-chain state and history.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Gnosisscan (Gnosis Chain Explorer) MCP to AutoGen
Create your Vinkius account to connect Gnosisscan (Gnosis Chain Explorer) 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.
Query Gnosis Chain state in AutoGen
Your agents can pull real-time balances and transaction history without custom indexers. By calling `get_account_balance` or `get_account_txlist`, they verify wallet activity before deciding on the next step in a conversation. This turns your agents into active participants in your DeFi workflow. They don't just guess about account states—they fetch the data and debate the findings based on hard facts from the chain.
Inspect smart contracts inside AutoGen
Agents need to understand contract logic to interact with protocols safely. Using `get_contract_sourcecode` and `get_contract_abi`, they read the actual code deployed on-chain to identify potential risks or function requirements. This removes the need for manual code reviews during your multi-agent sessions. Your agents can compare the deployed bytecode with expected behavior, ensuring the consensus reached is backed by technical reality.
Proxy RPC calls through this MCP Server
Standard JSON-RPC operations are built-in for deep system inspection. Tools like `proxy_call` and `proxy_estimategas` allow your agents to simulate transactions and check gas prices before committing to any action. It keeps your agents grounded in the current network conditions. Instead of failing on outdated gas estimates, they query the network directly, ensuring your automated pipelines stay functional during market volatility.
Set up Gnosisscan (Gnosis Chain Explorer) 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 Gnosisscan (Gnosis Chain Explorer) 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="Gnosisscan (Gnosis Chain Explorer)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Gnosisscan (Gnosis Chain Explorer) 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="Gnosisscan (Gnosis Chain Explorer)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Gnosisscan (Gnosis Chain Explorer) 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 Gnosisscan. 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 Gnosisscan (Gnosis Chain Explorer) MCP in AutoGen
Use it with your favorite AI tools
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