How to Use the Baidu Map Web Service API MCP in Google ADK
Feed live Chinese spatial data directly into your Gemini long-context models using Google ADK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Baidu Map Web Service API MCP to Google ADK
Create your Vinkius account to connect Baidu Map Web Service API 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.
Query China Spatial Data inside Google ADK
Bring Baidu's geographic engine directly into your Gemini 1M-token context window using the `poi_search` tool. Your agent searches for retail locations in Shanghai and feeds thousands of results straight into your model's reasoning loop. Because the framework handles massive token counts, you can pull entire neighborhoods of data with `get_suggestion` and analyze market density without worrying about prompt limits.
Bridge BigQuery Data with Baidu Routing
Connect your enterprise data warehouse to active mapping endpoints using the `direction_riding` and `direction_walking` tools. Your agent pulls shipping coordinates from BigQuery and calculates final-mile delivery times. This MCP Server acts as the translation layer between your cloud tables and active mapping endpoints. You get real-time transit times calculated in Python and pushed back to your databases.
Reverse Geocode Coordinates for Vertex Pipelines
Turn raw coordinates into readable addresses using the `reverse_geocoding` tool. Your agent translates GPS logs into Chinese district names, cleaning your training data on the fly. This structured location data feeds directly into your Vertex AI pipelines. It eliminates the need to build and maintain custom spatial parsing microservices on Google Cloud.
Set up Baidu Map Web Service API MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Map Web Service API tools in your ADK agent.
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 Map Web Service API_agent",
model="gemini-2.0-flash",
instruction="You have access to Baidu Map Web Service API tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Baidu Map Web Service API. 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.
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Common questions about Baidu Map Web Service API MCP in Google ADK
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