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Baidu Qianfan MCP Server for Google ADK 6 tools — connect in under 2 minutes

Built by Vinkius GDPR 6 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Baidu Qianfan as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Vinkius supports streamable HTTP and SSE.

python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="baidu_qianfan_agent",
    instruction=(
        "You help users interact with Baidu Qianfan "
        "using 6 available tools."
    ),
    tools=[mcp_tools],
)
Baidu Qianfan
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IAMAccess control
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DLPData protection
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Baidu Qianfan MCP Server

Connect your AI agents to Baidu Qianfan (百度千帆), the enterprise-grade LLM platform. This MCP provides 10 tools to automate interactions with Ernie Bot and other foundation models, including chat completions, vector embeddings, and prompt engineering.

Google ADK natively supports Baidu Qianfan as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

  • Model Interaction — Trigger chat completions with Ernie Bot (Turbo/Speed/4.0) using persistent context
  • Vector Embeddings — Generate semantic embeddings for text to power RAG and search workflows
  • Prompt Engineering — Manage and retrieve centralized prompt templates for consistent model outputs
  • Image Generation — Trigger Text-to-Image tasks using Baidu's advanced diffusion models
  • Usage Monitoring — Track token consumption and manage model service status programmatically

The Baidu Qianfan MCP Server exposes 6 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Baidu Qianfan to Google ADK via MCP

Follow these steps to integrate the Baidu Qianfan MCP Server with Google ADK.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 6 tools from Baidu Qianfan via MCP

Why Use Google ADK with the Baidu Qianfan MCP Server

Google ADK provides unique advantages when paired with Baidu Qianfan through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Baidu Qianfan

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Baidu Qianfan tools with BigQuery, Vertex AI, and Cloud Functions

Baidu Qianfan + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Baidu Qianfan MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Baidu Qianfan and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Baidu Qianfan tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Baidu Qianfan regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Baidu Qianfan

Baidu Qianfan MCP Tools for Google ADK (6)

These 6 tools become available when you connect Baidu Qianfan to Google ADK via MCP:

01

chat_completions

Requires model endpoint name. Send a message to a Baidu Qianfan model

02

get_embeddings

Generate vector embeddings for text

03

list_datasets

List uploaded datasets

04

list_models

List available model services

05

list_train_jobs

List model training jobs

06

text_to_image

Generate an image from a text prompt

Example Prompts for Baidu Qianfan in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Baidu Qianfan immediately.

01

"Chat with Ernie Bot 4.0 and ask 'Write a formal apology letter for a late shipment'."

02

"Generate embeddings for the text 'The quick brown fox jumps over the lazy dog'."

03

"List all my prompt templates in Qianfan."

Troubleshooting Baidu Qianfan MCP Server with Google ADK

Common issues when connecting Baidu Qianfan to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Baidu Qianfan + Google ADK FAQ

Common questions about integrating Baidu Qianfan MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

Connect Baidu Qianfan to Google ADK

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.