How to Use the Meld MCP in AutoGen
Deploy specialized AutoGen agents that debate portfolio strategies using real-time wallet and transaction data.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Meld 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 Meld 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="Meld_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Meld 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="Meld_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Meld 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 Meld. 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 Meld MCP in AutoGen
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