How to Use the Bing Search MCP in Google ADK

Q: Can I limit which Bing Search tools are exposed to my Google ADK agent?

Yes, use the toolnames filter when initializing your MCP toolset. You can choose to expose only searchnews or customsearch to keep the agent focused.

Q: Can my Google ADK agent search for specific image sizes?

Yes, the searchimages tool allows your agent to filter results by pixel dimensions, helping you find assets that fit your application's UI requirements.

Feed real-time Bing Search web data directly into your Google ADK Gemini agents.

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Connect Bing Search MCP to Google ADK

Create your Vinkius account to connect Bing Search 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.

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Setup Bing Search with Google ADK

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Long-context synthesis with Google ADK

The `search_web` tool feeds organic search results directly into Gemini's massive context window. By hooking up this MCP Server, your Google ADK agent can ingest up to 50 organic results at once. For fast-moving topics, the agent can call `search_news` to pull syndicated global PR articles. It can compile these articles alongside your enterprise data from BigQuery to generate instant market intelligence reports.

Grounding Vertex AI models with local search data

The `search_local` tool extracts structured local business listings to keep your enterprise agents grounded. Your Google ADK agent can invoke this tool to get verified physical data instead of guessing addresses. If your agent needs to find media assets, it can run `search_videos` to retrieve video stream links and motion metadata. This MCP tool metadata can be stored back into Google Cloud Storage for downstream processing.

Fast query prediction for Gemini pipelines

The `autosuggest` tool pulls real-time query completions directly from Microsoft's ML logs to reduce latency. Your Google ADK agent can use these suggestions to refine its search parameters before hitting the main index. You can also clean up noisy user inputs using `spellcheck`. Running this semantic NLP check ensures your Google ADK agent sends clean queries, saving compute time on Vertex AI.

Setup guide

Set up Bing Search 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 Bing Search 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="Bing Search_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Bing Search tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Bing Search. 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 Bing Search MCP in Google ADK

You can write a custom tool in Google ADK that pulls historical logs from BigQuery, then passes relevant terms to `search_web` to fetch real-time context.

Yes, use the tool_names filter when initializing your MCP toolset. You can choose to expose only `search_news` or `custom_search` to keep the agent focused.

Because Gemini models have huge context windows, Google ADK can easily ingest the complete JSON payload from `search_web` without needing aggressive chunking.

Yes, the `search_images` tool allows your agent to filter results by pixel dimensions, helping you find assets that fit your application's UI requirements.

All search strings and MCP credentials are isolated in secure, ephemeral runtimes. Vinkius handles the underlying authentication handshake, ensuring your Google Cloud environment never exposes raw keys.

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