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How to Use the Meld MCP in AutoGen

Deploy specialized AutoGen agents that debate portfolio strategies using real-time wallet and transaction data.

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AutoGen

Connect Meld MCP to AutoGen

Create your Vinkius account to connect Meld 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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Let AutoGen agents debate financial decisions.

This AutoGen configuration links your multi-agent conversations directly to the Meld multi-chain API for collaborative financial analysis. You set up a portfolio agent that calls `get_wallet_details` and a risk agent that analyzes `list_transactions` to debate asset allocation. This multi-agent setup ensures that financial decisions are thoroughly checked. One agent flags suspicious transaction patterns while another proposes rebalancing steps based on current holdings.

Negotiate exchange rates across multiple agents.

The Meld pricing and network verification tools allow your AutoGen agents to negotiate exchange rates during simulated trades. A trading agent pulls rates using `get_exchange_rates` while a compliance agent checks network fees via `get_network`. By debating the math before presenting a conclusion, the agents arrive at a consensus that minimizes slippage and avoids expensive network fees.

Coordinate multi-chain assets with this MCP Server.

The Meld multi-chain discovery tools let your AutoGen agents map out complex portfolios. Use this MCP Server to let your agents call `list_networks` and `list_assets` to find active tokens across different chains. Once discovered, the details are shared with the rest of the agent group. This allows your team of agents to build a shared map of a user's multi-chain assets without manual intervention.

Setup guide

Set up Meld MCP in AutoGen

Prerequisites

  • Python 3.10+ installed
  • autogen-ext[mcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 3

    Run your agent

    Pass the tools to AssistantAgent and call agent.run(). The agent invokes Meld 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="Meld_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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Common questions about Meld MCP in AutoGen

Use the `autogen-ext[mcp]` package to connect to the MCP server's HTTP transport. Pass the adapted tools directly into your `AssistantAgent` constructor so they can be invoked during conversations.
Yes, agents can run tools like `get_account_info` or `list_wallets` in parallel. The adapter handles schema conversion automatically, ensuring smooth multi-agent coordination.
If a tool call like `get_wallet_details` fails due to an invalid address, the calling agent receives the error. It can then request clarification from the user or another agent.
The integration supports both stdio and streamable HTTP transports. For hosted deployments on Vinkius, the streamable HTTP transport provides the most reliable connection.
All communications are secured using single-token authentication over an encrypted channel. The Vinkius MCP sandbox ensures your transaction history and wallet details are processed ephemerally and never logged.

Start using the Meld MCP today

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