Mode (Collaborative Data Platform) MCP Server for Google ADK 7 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Mode (Collaborative Data Platform) 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="mode_collaborative_data_platform_agent",
instruction=(
"You help users interact with Mode (Collaborative Data Platform) "
"using 7 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 Mode (Collaborative Data Platform) MCP Server
Connect your Mode Analytics account to any AI agent and take full control of your enterprise business intelligence, collaborative SQL reporting, and data source management through natural conversation.
Google ADK natively supports Mode (Collaborative Data Platform) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 7 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
- Report Orchestration — List all managed data reports and retrieve detailed analytical parameters, including chart configurations and query states directly from your agent
- Space Navigation — Explore organizational 'Spaces' (Personal, Shared) to retrieve the exact report tokens needed to query scoped analytical boundaries natively
- Global Analytics Search — Execute workspace-wide searches to identify specific reports and datasets matching literal metadata descriptions or keywords
- Data Source Audit — Enumerate explicit database and warehouse connector sources bound to your Mode account to understand which schemas are available for querying
- Member Tracking — List statically tracked analytical users within your workspace to verify report ownership and collaborative boundaries securely
- Metadata Inspection — Deep-dive into specific Report or Space tokens to retrieve precise configuration details and chart definitions instantly
The Mode (Collaborative Data Platform) MCP Server exposes 7 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 Mode (Collaborative Data Platform) to Google ADK via MCP
Follow these steps to integrate the Mode (Collaborative Data Platform) 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 7 tools from Mode (Collaborative Data Platform) via MCP
Why Use Google ADK with the Mode (Collaborative Data Platform) MCP Server
Google ADK provides unique advantages when paired with Mode (Collaborative Data Platform) 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 Mode (Collaborative Data Platform)
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 Mode (Collaborative Data Platform) tools with BigQuery, Vertex AI, and Cloud Functions
Mode (Collaborative Data Platform) + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Mode (Collaborative Data Platform) MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Mode (Collaborative Data Platform) and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Mode (Collaborative Data Platform) tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Mode (Collaborative Data Platform) regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Mode (Collaborative Data Platform)
Mode (Collaborative Data Platform) MCP Tools for Google ADK (7)
These 7 tools become available when you connect Mode (Collaborative Data Platform) to Google ADK via MCP:
get_report
Get specific analytical parameters mapping a single tracked Mode report token
get_space
Get parameters mapping an explicitly targeted collection Space
list_data_sources
List explicit Database/Warehouse connector sources bound to Mode
list_members
List statically tracked analytical users joined within the workspace
list_reports
List static data reports generated by the Mode workspace
list_spaces
List accessible Spaces isolating datasets across the Mode workspace
search_reports
Search all reports evaluating queries natively against Mode API
Example Prompts for Mode (Collaborative Data Platform) in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Mode (Collaborative Data Platform) immediately.
"List all reports in my 'Shared' space"
"Search for any reports related to 'Marketing ROI' in the workspace"
"Show me the data sources currently connected to our Mode account"
Troubleshooting Mode (Collaborative Data Platform) MCP Server with Google ADK
Common issues when connecting Mode (Collaborative Data Platform) to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkMode (Collaborative Data Platform) + Google ADK FAQ
Common questions about integrating Mode (Collaborative Data Platform) 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 Mode (Collaborative Data Platform) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Google's framework for building production AI agents.
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Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Mode (Collaborative Data Platform) to Google ADK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.