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ThoughtSpot MCP Server for Google ADK 7 tools — connect in under 2 minutes

Built by Vinkius GDPR 7 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add ThoughtSpot as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Vinkius supports streamable HTTP and SSE.

python
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="thoughtspot_agent",
    instruction=(
        "You help users interact with ThoughtSpot "
        "using 7 available tools."
    ),
    tools=[mcp_tools],
)
ThoughtSpot
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 ThoughtSpot MCP Server

Connect your ThoughtSpot instance to any AI agent and bring your analytics workflows directly into your chat. Search through your metadata, access reports, and list configurations natively.

Google ADK natively supports ThoughtSpot 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

  • Metadata Search — Search for specific analytical assets across your organization and filter by type (Liveboards, Answers, Logical Tables)
  • Browse Visualizations — List all available Liveboards (dashboards) and Answers (individual charts/tables) without leaving your environment
  • Team Management — Retrieve lists of registered account users and user groups, along with their access levels
  • Backend Topologies — List all configured data source connections (such as Snowflake and BigQuery) serving your platform
  • Organization — Navigate through metadata tags used for classifying data objects and reports

The ThoughtSpot 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 ThoughtSpot to Google ADK via MCP

Follow these steps to integrate the ThoughtSpot MCP Server with Google ADK.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 7 tools from ThoughtSpot via MCP

Why Use Google ADK with the ThoughtSpot MCP Server

Google ADK provides unique advantages when paired with ThoughtSpot through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with ThoughtSpot

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine ThoughtSpot tools with BigQuery, Vertex AI, and Cloud Functions

ThoughtSpot + Google ADK Use Cases

Practical scenarios where Google ADK combined with the ThoughtSpot MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query ThoughtSpot and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine ThoughtSpot tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query ThoughtSpot regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including ThoughtSpot

ThoughtSpot MCP Tools for Google ADK (7)

These 7 tools become available when you connect ThoughtSpot to Google ADK via MCP:

01

list_account_users

Lists all users in the ThoughtSpot instance

02

list_answers

Lists all saved Answers (individual charts or tables)

03

list_data_connections

g., Snowflake, BigQuery) are connected. Lists configured data source connections

04

list_liveboards

Lists all available Liveboards (dashboards)

05

list_metadata_tags

Lists all tags used for classifying metadata objects

06

list_user_groups

Lists all user groups

07

search_metadata

Supported types include LIVEBOARD, ANSWER, LOGICAL_TABLE, etc. Search for metadata objects in ThoughtSpot by type

Example Prompts for ThoughtSpot in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with ThoughtSpot immediately.

01

"Show me a list of all active database connections."

02

"Can you list all the user groups configured?"

Troubleshooting ThoughtSpot MCP Server with Google ADK

Common issues when connecting ThoughtSpot to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

ThoughtSpot + Google ADK FAQ

Common questions about integrating ThoughtSpot MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

Connect ThoughtSpot to Google ADK

Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.