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

Q: How do I configure iFLYTEK Open Platform / 讯飞开放平台 with Google ADK?

Use the McpToolset class with the server's HTTP connection parameters. Pass this toolset object into your Google ADK LlmAgent constructor to expose all eight iFLYTEK tools to Gemini.

Q: Can I limit which tools from the iFLYTEK Open Platform / 讯飞开放平台 are visible to Google ADK?

Yes, you can use the toolnames filter when initializing your Google ADK McpToolset. This allows you to expose only specific tools like speechtotext while hiding others.

Q: How does the iFLYTEK Open Platform / 讯飞开放平台 handle large voice files within Google ADK?

Your Google ADK agent sends the audio data to speechtotext using the standard HTTP transport. For very large files, we recommend chunking the audio before sending it to ensure stable API execution.

Q: What is the best way to summarize long documents with these tools?

Have your Google ADK agent call summarygeneration on the target text. The tool returns a concise summary that Gemini can then use for high-level reasoning or reporting.

Connect iFLYTEK Open Platform APIs to your Google ADK pipelines for enterprise-grade voice and text workflows.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

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

Create your Vinkius account to connect iFLYTEK Open Platform / 讯飞开放平台 to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup iFLYTEK Open Platform / 讯飞开放平台 with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

High-accuracy translation for Gemini long-context agents

`translate` converts text payloads between English, Chinese, and other regional languages inside Google ADK. Your Gemini agents use this tool to translate huge blocks of text retrieved from BigQuery before performing deep reasoning. Because Gemini handles up to one million tokens, you can feed massive text blocks into this iFLYTEK translation tool. The resulting translated data is immediately ready for downstream processing within your Google Cloud environment.

Analyze sentiment via this MCP Server

`text_sentiment` analyzes the emotional tone of text inputs. Google ADK agents can pull reviews from BigQuery, run them through iFLYTEK's sentiment analysis, and flag negative feedback for your team. This MCP Server lets your Google ADK agents combine sentiment analysis with `keyword_extraction` to find the exact root cause of customer complaints. You get structured, actionable insights without leaving your secure Google Cloud VPC.

Extract entities from unstructured cloud documents

`entity_recognition` extracts names, dates, and locations from unstructured text files. Google ADK agents invoke this tool to scan raw customer correspondence and populate structured tables in BigQuery. If you have massive document sets, your Google ADK agents can run `ocr_general` first to extract the text, then pass it to this entity tool. This creates a fully automated document ingestion pipeline running on Google Cloud infrastructure.

Setup guide

Set up iFLYTEK Open Platform / 讯飞开放平台 MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with iFLYTEK Open Platform / 讯飞开放平台 tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="iFLYTEK Open Platform / 讯飞开放平台_agent",
    model="gemini-2.0-flash",
    instruction="You have access to iFLYTEK Open Platform / 讯飞开放平台 tools via MCP.",
    tools=mcp_tools,
)

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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect iFLYTEK Open Platform / 讯飞开放平台 now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

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

Use the `McpToolset` class with the server's HTTP connection parameters. Pass this toolset object into your Google ADK `LlmAgent` constructor to expose all eight iFLYTEK tools to Gemini.

Yes, you can use the `tool_names` filter when initializing your Google ADK `McpToolset`. This allows you to expose only specific tools like `speech_to_text` while hiding others.

Your Google ADK agent sends the audio data to `speech_to_text` using the standard HTTP transport. For very large files, we recommend chunking the audio before sending it to ensure stable API execution.

Have your Google ADK agent call `summary_generation` on the target text. The tool returns a concise summary that Gemini can then use for high-level reasoning or reporting.

Your document images are processed as ephemeral byte arrays. This server does not write image files to disk; it forwards them directly to the iFLYTEK endpoint using TLS encryption and discards them immediately after.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript