How to Use the Netease Yunxin / 网易云信 MCP in AutoGen
Give your AutoGen agents the tools to debate and execute Netease Yunxin IM operations.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Netease Yunxin / 网易云信 MCP to AutoGen
Create your Vinkius account to connect Netease Yunxin / 网易云信 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 Message Routing
The `send_p2p_message` and `send_batch_message` tools allow your AutoGen agents to dispatch communications after reaching a consensus. A drafting agent writes the copy, a compliance agent reviews it, and an execution agent fires the API call. This debate structure prevents accidental spam. The agents negotiate the payload and target audience, only triggering the message when all predefined conditions in your script are met.
Netease Yunxin MCP Server Provisioning
Using `create_account` and `update_account`, different agents handle distinct parts of the user lifecycle. A security agent validates the credentials, while an admin agent executes the creation step. If a token expires during a long-running conversation, the system doesn't crash. An operations agent detects the failure, calls `refresh_user_token`, and notifies the group that the session can continue.
Autonomous Group Chat Control
Tools like `create_team`, `add_team_member`, and `kick_team_member` let agents moderate channels autonomously. A moderation agent reads `get_session_history` to identify policy violations. It then proposes a ban. A second oversight agent reviews the evidence from the chat logs. If they agree, the system removes the user from the team entirely.
Set up Netease Yunxin / 网易云信 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 Netease Yunxin / 网易云信 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="Netease Yunxin / 网易云信_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Netease Yunxin / 网易云信 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="Netease Yunxin / 网易云信_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Netease Yunxin / 网易云信 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 Netease Yunxin / 网易云信. 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 Netease Yunxin / 网易云信 MCP in AutoGen
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