How to Use the Bitso Exchange MCP in AutoGen
Run multi-agent debates in AutoGen to negotiate and execute smart crypto trades on the Bitso Exchange.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Bitso Exchange MCP to AutoGen
Create your Vinkius account to connect Bitso Exchange 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.
Multi-agent trade negotiation on Bitso Exchange
Set up a system where a risk-analysis agent and a trading agent negotiate before placing an order on Bitso Exchange. The trading agent proposes a buy using `create_order`, while the risk agent reviews open exposure using `list_open_orders`. If the risk agent objects, it can trigger `cancel_order` to pull a hanging trade. This collaborative debate ensures your portfolio stays within safe parameters without requiring manual intervention.
Verify ledger flows using AutoGen consensus
Let your agents cross-reference financial data using this Bitso Exchange MCP Server to prevent accounting errors. One agent pulls historical executions with `list_trades`, while another verifies the raw movements using `list_ledger` to find discrepancies. By comparing these two sources, your agents reach a consensus on your net performance. If something looks off, they can automatically flag the issue or check `list_withdrawals` to verify external transfers.
Automated liquidity checks with an AutoGen MCP Server agent
Before executing a transaction, your agents can coordinate to verify available liquidity on Bitso Exchange. One agent queries the current book spread using `get_ticker` while another checks your actual wallet using `list_balances`. If the deposit address is required to top up, the funding agent calls `get_funding_destination` to retrieve the address. The agents verify your account limits via `get_account_status` before moving any capital.
Set up Bitso Exchange 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 Bitso Exchange 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="Bitso Exchange_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Bitso Exchange 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="Bitso Exchange_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Bitso Exchange 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 Bitso Exchange. 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 Bitso Exchange MCP in AutoGen
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