How to Use the Circle.so MCP in AutoGen
Let AutoGen agents debate and coordinate community management tasks using this Circle.so MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Circle.so MCP to AutoGen
Create your Vinkius account to connect Circle.so 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.
Manage AutoGen debates over Circle.so moderation
This MCP server exposes `list_community_posts` and `list_post_comments` to your AutoGen agent group. A moderation agent can flag a post, while a community manager agent reviews the context to decide on the action. By feeding the post data into a multi-agent conversation, you get consensus-driven moderation. The AutoGen agents debate the tone of the Circle.so comment before taking any actions, reducing false positives in automated moderation.
Coordinate community events across multiple agents
The `list_community_events` and `list_community_topics` tools let your AutoGen agents plan and cross-reference community schedules. One agent analyzes popular topics, while another schedules events to match user interest. The AutoGen agents negotiate the best times and topics in their chat channel. They use the live Circle.so data to ensure no events overlap with existing community schedules.
Map community spaces for multi-agent routing
The `list_community_spaces` and `list_space_groups` tools provide your AutoGen agents with a complete map of your community structure. When a new post is flagged, the routing agent determines which space it belongs to. This structure is shared across the agent conversation. The AutoGen agents use the space IDs to coordinate where announcements should be posted or where discussions should be moved in Circle.so.
Set up Circle.so 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 Circle.so 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="Circle.so_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Circle.so 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="Circle.so_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Circle.so 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 Circle.so. 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 Circle.so MCP in AutoGen
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Circle.so MCP today
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