How to Use the Dextools (DeFi Token Data API) MCP in AutoGen

Q: How do I register the Dextools (DeFi Token Data API) MCP Server with my AutoGen assistant?

You use the mcpservertools adapter to convert the tools for your AssistantAgent. This automatically maps endpoints like gettokenprice to the JSON schemas AutoGen expects.

Q: How do agents negotiate trade execution using Dextools (DeFi Token Data API) data in AutoGen?

One agent fetches liquidity depth using gettokenliquidity while another checks the spot price. They compare these figures in their chat history to decide if a trade meets your safety margin.

Let your AutoGen agents debate DeFi trades using live token prices and liquidity pairs.

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Connect Dextools (DeFi Token Data API) MCP to AutoGen

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Setup Dextools (DeFi Token Data API) with AutoGen

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Enable Consensus-Driven Price Validation

The `get_token_price` tool supplies raw USD valuations to your multi-agent conversation. Your AutoGen pricing agent pulls this data to debate trading strategies with your risk agent. Because agents challenge each other's assumptions, they reach consensus based on real numbers rather than stale database records.

Analyze Liquidity Risk Across Agents

The `get_token_liquidity` tool delivers direct reserve metrics to your risk-monitoring agents. Your performance agent reads this data to calculate potential slippage. Using `get_pair` alongside this tool allows your agents to verify the target contract addresses. This prevents your AutoGen workflow from executing orders on malicious clone pools.

Coordinate Cross-Chain Audits via MCP Server

The `get_blockchains` tool lists all active networks to guide your coordinator agent. This agent assigns specific chain audits to subordinate agents based on supported networks. Once assigned, the agents run `get_token` to extract supply data and contract details. This collaborative check ensures your AutoGen group compiles highly accurate token audits.

Setup guide

Set up Dextools (DeFi Token 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 Dextools (DeFi Token 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="Dextools (DeFi Token Data API)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Dextools (DeFi Token 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="Dextools (DeFi Token Data API)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Dextools (DeFi Token Data API) data")
    print(result.messages[-1].content)

Get your connection token →

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Common questions about Dextools (DeFi Token Data API) MCP in AutoGen

You use the mcp_server_tools adapter to convert the tools for your AssistantAgent. This automatically maps endpoints like `get_token_price` to the JSON schemas AutoGen expects.

Yes, multiple agents can invoke the tools concurrently. The Vinkius sandbox handles the incoming requests, routing each tool call like `get_pair` to the API over the MCP connection.

One agent fetches liquidity depth using `get_token_liquidity` while another checks the spot price. They compare these figures in their chat history to decide if a trade meets your safety margin.

No, this server is read-only. It provides data through tools like `get_token` and does not contain endpoints for signing transactions or executing blockchain swaps.

All token, pair, and blockchain queries are processed inside an ephemeral V8 sandbox via the MCP Server on Vinkius. No transaction history or proprietary contract addresses are logged or stored on external servers.

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