How to Use the Glean MCP in Google ADK

Q: Can I restrict which tools my Google ADK agent uses?

You can use the toolnames filter to whitelist only the functions you need. This keeps your agent's toolset lean and focused.

Bring enterprise search to your Google ADK pipelines with direct access to your internal knowledge.

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…and any MCP-compatible client

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Connect Glean MCP to Google ADK

Create your Vinkius account to connect Glean 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 Glean with Google ADK

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Sync enterprise data with Google ADK

Use `search_datasource` to query your connected apps directly from your agent flow. It bridges the gap between your cloud infrastructure and your internal knowledge. `index_document` lets you feed custom data into the system. You control exactly what your Google ADK agent sees.

Solve complex questions with this MCP Server

The `get_answer` tool provides quick, synthesized responses using your internal docs. It works as an extension for your agent's reasoning process. Your agent can also use `get_suggestions` to refine its search strategy. It helps the system find the best possible information path.

Automate data maintenance

Use `delete_document` to remove stale records and keep your search index accurate. It is essential for maintaining high-quality data in your agent's reach. `search_people` allows your agent to find internal contacts based on project roles. It connects the dots between human expertise and your automated tasks.

Setup guide

Set up Glean 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 Glean 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="Glean_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Glean 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 Glean. 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.

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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 Glean MCP in Google ADK

It does. You map the tools to your agent toolset, and your Google ADK agent can call them immediately.

Yes. It returns structured data that your agents can parse without extra processing. It saves time on every query.

You can use the tool_names filter to whitelist only the functions you need. This keeps your agent's toolset lean and focused.

You provide an endpoint token to the managed server. The connection remains secure and scoped to your enterprise credentials.

It accesses your document text and file metadata. Your private document content stays within your authorized Glean environment.

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

Mastra AI sdk-typescript

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