How to Use the Moonscan (Moonbeam Network Explorer) MCP in AutoGen
Build multi-agent AutoGen teams that debate and verify Moonbeam transactions and contract code in real time.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Moonscan (Moonbeam Network Explorer) MCP to AutoGen
Create your Vinkius account to connect Moonscan (Moonbeam Network 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.
Run multi-agent AutoGen consensus on Moonbeam audits
This MCP Server gives your AutoGen agents the raw data they need to cross-examine smart contracts. A developer agent can fetch source code with `get_contract_source_code`, while a security-focused agent pulls the ABI using `get_contract_abi` to run independent verification steps. The two AutoGen agents then debate the safety of the Moonbeam contract in a group chat. This collaborative analysis prevents single-agent oversights and ensures that complex GLMR integrations are thoroughly vetted.
Automate gas optimization debates in AutoGen
This MCP Server enables real-time gas cost debates between specialized transaction agents. One agent can query current network conditions using `proxy_eth_gas_price` while another estimates execution costs with `proxy_eth_estimate_gas`. The AutoGen agents compare notes to find the most cost-effective execution window on Moonbeam. This automated negotiation helps your system execute GLMR transactions without overpaying for gas during network spikes.
Coordinate multi-agent wallet monitoring
This MCP Server allows multiple agents to share the workload of monitoring complex wallet activities. A tracking agent can run `get_glmr_balance_multi` to watch a set of addresses, while an analysis agent runs `get_internal_transactions` on any account showing sudden balance changes. This division of labor keeps your AutoGen monitoring loops fast and focused. The agents collaborate to construct a complete picture of Moonbeam behavior without repeating expensive Moonscan API calls.
Set up Moonscan (Moonbeam Network 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 Moonscan (Moonbeam Network 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="Moonscan (Moonbeam Network Explorer)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Moonscan (Moonbeam Network 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="Moonscan (Moonbeam Network Explorer)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Moonscan (Moonbeam Network 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 Moonscan. 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 Moonscan (Moonbeam Network Explorer) MCP in AutoGen
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