ThoughtSpot MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ThoughtSpot through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="ThoughtSpot Assistant",
instructions=(
"You help users interact with ThoughtSpot. "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from ThoughtSpot"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 7 tools from ThoughtSpot through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ThoughtSpot, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the ThoughtSpot MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 7 tools from ThoughtSpot
Why Use OpenAI Agents SDK with the ThoughtSpot MCP Server
OpenAI Agents SDK provides unique advantages when paired with ThoughtSpot through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
ThoughtSpot + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the ThoughtSpot MCP Server delivers measurable value.
Automated workflows: build agents that query ThoughtSpot, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries ThoughtSpot, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through ThoughtSpot tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query ThoughtSpot to resolve tickets, look up records, and update statuses without human intervention
ThoughtSpot MCP Tools for OpenAI Agents SDK (7)
These 7 tools become available when you connect ThoughtSpot to OpenAI Agents SDK via MCP:
list_account_users
Lists all users in the ThoughtSpot instance
list_answers
Lists all saved Answers (individual charts or tables)
list_data_connections
g., Snowflake, BigQuery) are connected. Lists configured data source connections
list_liveboards
Lists all available Liveboards (dashboards)
list_metadata_tags
Lists all tags used for classifying metadata objects
list_user_groups
Lists all user groups
search_metadata
Supported types include LIVEBOARD, ANSWER, LOGICAL_TABLE, etc. Search for metadata objects in ThoughtSpot by type
Example Prompts for ThoughtSpot in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with ThoughtSpot immediately.
"Show me a list of all active database connections."
"Can you list all the user groups configured?"
Troubleshooting ThoughtSpot MCP Server with OpenAI Agents SDK
Common issues when connecting ThoughtSpot to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
ThoughtSpot + OpenAI Agents SDK FAQ
Common questions about integrating ThoughtSpot MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect ThoughtSpot with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
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 ThoughtSpot to OpenAI Agents SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.