How to Use the Currents MCP in AutoGen
Fuel multi-agent debates in AutoGen with real-time news data sourced from the Currents platform.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Currents MCP to AutoGen
Create your Vinkius account to connect Currents 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.
Feed AutoGen Multi-Agent Conversations with Currents
The `get_latest_news` tool provides a stream of global headlines that your AutoGen research agent can analyze and share with the group. Real-time facts feed directly into multi-agent debates to keep your MCP agent grounded. A specialized summary agent can then trigger `list_categories` to organize the findings. This structured data is debated among your agents to reach a consensus on current market trends.
Resolve Agent Debates with Targeted News Searches
The `search_news` tool acts as the ultimate truth source when your AutoGen agents disagree on recent events. One agent queries the database using boolean syntax to settle the dispute with verified articles. To keep the debate focused, your agents can use `list_languages` to filter out non-English sources. Filtering ensures all participating agents parse and debate the same textual context.
Coordinate Regional Analysis Across AutoGen Teams
The `list_regions` tool allows your geographic analyst agent to pull news from specific countries during an MCP group chat. Different agents can represent different regions, analyzing localized perspectives simultaneously. Running `check_auth` at the start of the conversation ensures all agents have the required access before starting a complex, multi-turn debate. This prevents the entire group from stalling due to credential issues.
Set up Currents 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 Currents 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="Currents_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Currents 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="Currents_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Currents 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 Currents. 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 Currents MCP in AutoGen
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