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Vinkius

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

Built by Vinkius GDPR 7 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add ThoughtSpot as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="thoughtspot_agent",
            tools=tools,
            system_message=(
                "You help users with ThoughtSpot. "
                "7 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())
ThoughtSpot
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* 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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use ThoughtSpot tools. Connect 7 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

Follow these steps to integrate the ThoughtSpot MCP Server with AutoGen.

01

Install AutoGen

Run pip install "autogen-ext[mcp]"

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

04

Explore tools

The workbench discovers 7 tools from ThoughtSpot automatically

Why Use AutoGen with the ThoughtSpot MCP Server

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

01

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use ThoughtSpot tools to solve complex tasks

02

Role-based architecture lets you assign ThoughtSpot tool access to specific agents. a data analyst queries while a reviewer validates

03

Human-in-the-loop support: agents can pause for human approval before executing sensitive ThoughtSpot tool calls

04

Code execution sandbox: AutoGen agents can write and run code that processes ThoughtSpot tool responses in an isolated environment

ThoughtSpot + AutoGen Use Cases

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

01

Collaborative analysis: one agent queries ThoughtSpot while another validates results and a third generates the final report

02

Automated review pipelines: a researcher agent fetches data from ThoughtSpot, a critic agent evaluates quality, and a writer produces the output

03

Interactive planning: agents negotiate task allocation using ThoughtSpot data to make informed decisions about resource distribution

04

Code generation with live data: an AutoGen coder agent writes scripts that process ThoughtSpot responses in a sandboxed execution environment

ThoughtSpot MCP Tools for AutoGen (7)

These 7 tools become available when you connect ThoughtSpot to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

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

01

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

ThoughtSpot + AutoGen FAQ

Common questions about integrating ThoughtSpot MCP Server with AutoGen.

01

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call ThoughtSpot tools during their conversation turns.
02

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
03

Does AutoGen support human approval for tool calls?

Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.

Connect ThoughtSpot to AutoGen

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