How to Use the Baidu Qianfan MCP in Google ADK

Q: Will Baidu Qianfan work with my Google ADK model filters?

Yes. You can use the toolnames filter to restrict which Baidu operations your specific agents can access, keeping your agent scope clean.

Connect Baidu Qianfan models to your Google ADK projects to build enterprise-grade agents on Google Cloud.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Baidu Qianfan MCP to Google ADK

Create your Vinkius account to connect Baidu Qianfan 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 Baidu Qianfan with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Baidu Qianfan tools for Google ADK

Integrate `chat_completions` and `text_to_image` into your Google ADK infrastructure. Your agents can now tap into Baidu models alongside your existing Vertex AI services. This allows your agents to route tasks to the best model. You decide if a request goes to Gemini or Baidu based on the payload.

Monitor Baidu jobs using Google ADK

Use `list_train_jobs` and `list_datasets` to keep an eye on your training infrastructure. Your Google ADK agent pulls this data to log progress in your standard monitoring stack. It treats Baidu metadata like any other data source. You get a unified view of your model life cycle across both platforms.

Embed text with Google ADK and Baidu

Run `get_embeddings` to prepare data for your BigQuery tables. The output fits right into your existing Google Cloud data pipelines. Google ADK processes these vectors as standard arrays. You can pipe them into your long-context reasoning tasks without extra conversion steps.

Setup guide

Set up Baidu Qianfan 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 Baidu Qianfan 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="Baidu Qianfan_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Baidu Qianfan 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 Baidu Qianfan. 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 Baidu Qianfan 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 Baidu Qianfan MCP in Google ADK

Install the MCP toolset and point your agent to the server URL. Google ADK handles the tool discovery, making every Baidu function available to your LLM.

Your agent acts as the bridge. You write the logic to fetch BigQuery records and pass them to the Baidu tools for processing or embedding.

Yes. You can use the `tool_names` filter to restrict which Baidu operations your specific agents can access, keeping your agent scope clean.

Vinkius hosts the server, so you just pass your endpoint token. The connection uses standard HTTP or Stdio transports, fitting your Google infrastructure needs.

Your prompt text is sent directly to the Baidu API endpoint. We do not inspect or store the contents, and the connection is dropped as soon as the agent completes the task.

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