How to Use the iFLYTEK Open Platform / 讯飞开放平台 MCP in AutoGen

Q: Can I use iFLYTEK Open Platform / 讯飞开放平台 for agent-to-agent communication?

You can. Agents use tools like translate to bridge language gaps during their debate. It keeps the conversation flowing in a single language.

Build debating agent teams with AutoGen and the iFLYTEK Open Platform / 讯飞开放平台 MCP server.

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Connect iFLYTEK Open Platform / 讯飞开放平台 MCP to AutoGen

Create your Vinkius account to connect iFLYTEK Open Platform / 讯飞开放平台 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.

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Setup iFLYTEK Open Platform / 讯飞开放平台 with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate audio transcripts with AutoGen agents

Assign an agent to trigger `speech_to_text` and pass the output to a peer agent for verification. They debate the accuracy of the transcription based on context. This multi-agent process catches errors before they hit your final output. You get consensus on ambiguous audio segments.

Negotiate sentiment and translation results

Use `text_sentiment` and `translate` as part of a multi-agent deliberation. One agent analyzes the tone while another checks the translation quality. They reach a final decision on how to respond. This prevents biased or incorrect translations from reaching the user.

Consensus-driven keyword extraction

Run `keyword_extraction` across multiple agents to see if they identify the same core topics. They negotiate until they agree on a set of tags. This ensures your metadata is consistent. You avoid the noise of single-agent hallucinations.

Setup guide

Set up iFLYTEK Open Platform / 讯飞开放平台 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 iFLYTEK Open Platform / 讯飞开放平台 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="iFLYTEK Open Platform / 讯飞开放平台_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent iFLYTEK Open Platform / 讯飞开放平台 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="iFLYTEK Open Platform / 讯飞开放平台_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent iFLYTEK Open Platform / 讯飞开放平台 data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by iFLYTEK Open Platform / 讯飞开放平台. 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.

Why Choose Vinkius

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Common questions about iFLYTEK Open Platform / 讯飞开放平台 MCP in AutoGen

The MCP tool adapter maps the server tools into the agent's available functions. Your agents then call these tools as part of their conversation loop.

Yes. It supports both stdio and Streamable HTTP. You configure the agent constructor to point to the server endpoint.

You can. Agents use tools like `translate` to bridge language gaps during their debate. It keeps the conversation flowing in a single language.

The adapter converts the MCP schema to AutoGen-compatible definitions automatically. You don't need to write manual wrappers.

We use encrypted endpoints for all traffic. Your session data is isolated within the Vinkius sandbox, meaning no other agent processes can access your input.

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