Baidu Qianfan MCP Server for Google ADK 6 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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],
)
* 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.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
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.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Baidu Qianfan
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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.
Enterprise data agents: ADK agents query Baidu Qianfan and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Baidu Qianfan tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Baidu Qianfan regularly and flag policy violations or configuration drift
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:
chat_completions
Requires model endpoint name. Send a message to a Baidu Qianfan model
get_embeddings
Generate vector embeddings for text
list_datasets
List uploaded datasets
list_models
List available model services
list_train_jobs
List model training jobs
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.
"Chat with Ernie Bot 4.0 and ask 'Write a formal apology letter for a late shipment'."
"Generate embeddings for the text 'The quick brown fox jumps over the lazy dog'."
"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.
McpToolset not found
pip install --upgrade google-adkBaidu Qianfan + Google ADK FAQ
Common questions about integrating Baidu Qianfan MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Baidu Qianfan with your favorite client
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
