How to Use the Amberdata (Digital Asset & Crypto Market Data API) MCP in AutoGen

Q: How do I give the Amberdata (Digital Asset & Crypto Market Data API) tools to my AutoGen assistant?

It's straightforward. Use the mcpservertools function from the AutoGen extension, pointing it at your Vinkius server URL. This returns a list of tools that you can pass directly into your AssistantAgent constructor.

Q: How do I check wallet balances with this MCP Server?

You have two main tools for that. Use getaddressbalanceslatest to get the native coin balance for an address, like ETH. To see all the ERC-20 tokens an address is holding, you'll want to use getaddresstokenbalanceslatest.

Arm your AutoGen agent teams with live crypto market data to debate, analyze, and reach consensus on market strategy.

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Setup Amberdata (Digital Asset & Crypto Market Data API) with AutoGen

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Perplexity

Fuel Agent Debates with Live Data

AutoGen is about conversations, and this toolset provides the talking points. Create a 'Bull' agent that uses `get_spot_trade_pressure` to argue for positive momentum. Then, create a 'Bear' agent that counters by pulling `get_spot_bid_ask_spread` to highlight high volatility and risk. Watch them debate. The agents use the data from the Amberdata tools as evidence in their arguments. They challenge each other's findings until the group converges on a more nuanced view of the market.

Build Specialized Financial Agents

Assign roles to your agents and give them specific tools. Your 'Options Specialist' agent can be limited to `get_options_tickers` to analyze Greeks and IV. Meanwhile, your 'Futures Analyst' agent can use `get_futures_ohlcv` and `get_futures_trades` to track momentum in the perpetuals market. When you pose a broad question, these specialized agents collaborate, each contributing its unique perspective based on the data it can access. This MCP server provides the granular tools needed for these expert roles.

Consensus-Driven Crypto Analysis

Your AutoGen team can work together to build a complete picture of network health. One agent might pull high-level transaction metrics with `get_transactions_metrics_historical`. Another agent could see a spike and decide to drill down, using `get_blocks_metrics_historical` to investigate if it was caused by a few large blocks. The final answer isn't just one agent's output. It's a summary of their collaborative analysis, made possible by a shared set of tools from this MCP Server. They reason together, using data to confirm or deny each other's hypotheses.

Setup guide

Set up Amberdata (Digital Asset & Crypto Market Data 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 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 Amberdata (Digital Asset & Crypto Market Data API) 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="Amberdata (Digital Asset & Crypto Market Data API)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Amberdata (Digital Asset & Crypto Market Data API) 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="Amberdata (Digital Asset & Crypto Market Data API)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Amberdata (Digital Asset & Crypto Market Data API) 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 Amberdata. 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 Amberdata (Digital Asset & Crypto Market Data API) MCP in AutoGen

It's straightforward. Use the `mcp_server_tools` function from the AutoGen extension, pointing it at your Vinkius server URL. This returns a list of tools that you can pass directly into your `AssistantAgent` constructor.

Yes. You can create multiple tool lists from the main one. Give your 'market' agent the spot and futures tools, and give your 'on-chain' agent the address and transaction tools. This lets you define expert roles within your agent conversation.

Try a three-agent group: a 'Data-Fetcher' that only calls Amberdata tools, an 'Analyst' that interprets the data and proposes ideas, and a 'Critic' that challenges the Analyst's conclusions. The Critic pushes the Analyst to fetch more data, leading to a better final result.

You have two main tools for that. Use `get_address_balances_latest` to get the native coin balance for an address, like ETH. To see all the ERC-20 tokens an address is holding, you'll want to use `get_address_token_balances_latest`.

Your agents will only work with public market data from Amberdata, such as order books and on-chain metrics. Vinkius secures the connection with a zero-trust model, meaning every request is authenticated and isolated in a temporary sandbox that is destroyed after the call.

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