How to Use the Alchemy MCP in AutoGen

Debate blockchain insights using AutoGen. Let your agents negotiate using live data from this MCP server.

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Connect Alchemy MCP to AutoGen

Create your Vinkius account to connect Alchemy 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 Alchemy with AutoGen

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Perplexity

Debate balances using AutoGen

Assign one agent to fetch `get_wallet_balance` and another to analyze the risk. AutoGen allows these agents to discuss the findings until they agree on a conclusion. This creates a system of checks and balances. The agents compare the raw wei values against your constraints to reach a consensus.

Cross-reference NFTs in AutoGen

Have your agents debate the value of `get_owned_nfts` data. One agent pulls the list while the other verifies it against market conditions. They challenge each other's assumptions. This deliberation ensures the final decision is based on verified asset ownership.

Audit status via AutoGen

Use `check_api_status` to ensure your multi-agent team is working with live data. The agents communicate about the service health before starting their tasks. This prevents errors caused by downtime. If the service is down, your agents negotiate a pause or an alternative path.

Setup guide

Set up Alchemy 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 Alchemy 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="Alchemy_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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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="Alchemy_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Alchemy 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 Alchemy. 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 Alchemy MCP in AutoGen

You pass the tool list directly to the AssistantAgent constructor. The McpToolAdapter handles the communication so agents can call the tools during their debates.

That is the point. You set up a security agent and a performance agent that challenge each other's interpretation of the data until they reach a consensus.

You just need the StreamableHttpServerParams to point to the server. The adapter maps everything automatically, so your agents can focus on the logic.

Yes. It supports both stdio and HTTP, allowing your swarm of agents to access the same toolset simultaneously.

The server retrieves public blockchain data and passes it to your local agents. The data stays within your controlled environment, keeping your query patterns private.

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