How to Use the Nansen (Blockchain Analytics) MCP in AutoGen

Q: How do I add Nansen (Blockchain Analytics) to my AutoGen agents?

Use the autogen-extmcp package to load the server tools. You pass the tool list directly into your AssistantAgent, allowing the agents to call the server whenever they need market data.

Deploy multi-agent teams to debate on-chain signals using Nansen (Blockchain Analytics) and AutoGen.

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Connect Nansen (Blockchain Analytics) MCP to AutoGen

Create your Vinkius account to connect Nansen (Blockchain Analytics) 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.

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Setup Nansen (Blockchain Analytics) with AutoGen

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Debate market signals with agents

Set up an AutoGen group chat where one agent pulls `smart_money_netflow` data while another critiques the risk profile. The agents negotiate based on the facts returned by the server. This eliminates the bias of a single-agent view. You get a consensus-based analysis that weighs the evidence from multiple on-chain indicators before presenting a conclusion.

Automate complex profiling tasks

Assign specific roles to your agents for deep wallet research. A lead investigator agent can call `profiler_counterparties` and `profiler_related_wallets` to map out a cluster, while an analyst agent summarizes the findings. This division of labor makes short work of massive transaction histories. The agents work in parallel to build a complete picture of an address's behavior.

Execute multi-chain analysis

Use AutoGen to orchestrate queries across different Nansen (Blockchain Analytics) tool categories. Your agents can cross-reference `prediction_trades_by_address` with `tgm_dex_trades` to spot discrepancies in strategy. This allows your team of agents to behave like a sophisticated research desk. They handle the heavy lifting of data correlation so you can focus on the final interpretation.

Setup guide

Set up Nansen (Blockchain Analytics) 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 includes mcp_server_tools for 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 AssistantAgent and call agent.run(). The agent invokes Nansen (Blockchain Analytics) tools and returns structured results.

agent.py

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="Nansen (Blockchain Analytics)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Nansen (Blockchain Analytics) data")
print(result.messages[-1].content)

Get your connection token →

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. McpWorkbench is 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=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

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="Nansen (Blockchain Analytics)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Nansen (Blockchain Analytics) data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Nansen. 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 Nansen (Blockchain Analytics) MCP in AutoGen

Use the `autogen-ext[mcp]` package to load the server tools. You pass the tool list directly into your AssistantAgent, allowing the agents to call the server whenever they need market data.

Absolutely. You structure the chat so that agents challenge each other's interpretations of `tgm_indicators`. This leads to more vetted and reliable research outputs.

Yes, the server works seamlessly with the standard AssistantAgent and UserProxyAgent patterns. You can even use the `StreamableHttpServerParams` to manage the connection in headless environments.

You can inspect the agent conversation history to see exactly which tools were invoked. Every call to `perp_leaderboard` or other tools is logged in the agent's chat history for your review.

All data flows through a secure, zero-trust sandbox provided by Vinkius. Your private research parameters are never stored, and the server only processes the specific address data you explicitly request.

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