# How to connect ThoughtSpot Spotter MCP with ChatGPT Work

```json
{
  "title": "How to connect ThoughtSpot Spotter MCP with ChatGPT Work",
  "toolkit": "ThoughtSpot Spotter MCP",
  "toolkit_slug": "thoughtspot_spotter_mcp",
  "framework": "ChatGPT Work",
  "framework_slug": "chatgpt",
  "url": "https://composio.dev/toolkits/thoughtspot_spotter_mcp/framework/chatgpt",
  "markdown_url": "https://composio.dev/toolkits/thoughtspot_spotter_mcp/framework/chatgpt.md",
  "updated_at": "2026-09-07T05:38:07.887Z"
}
```

## Introduction

### How to connect ThoughtSpot Spotter MCP with ChatGPT Work
[ChatGPT Work](https://openai.com/chatgpt-work/) is an agent inside ChatGPT built for your most ambitious work. It takes action across your apps and files, stays with a project for hours, and turns a goal into finished materials like sheets, slides, and docs - not just answers.
In this guide, I will explain the easiest and most secure way to connect your ThoughtSpot Spotter account to ChatGPT Work via Composio Connect, so it can search your data, generate insights, run root-cause analysis, and export charts through natural language commands without ever putting your account credentials at risk.

## Also integrate ThoughtSpot Spotter MCP with

- [Claude Cowork](https://composio.dev/toolkits/thoughtspot_spotter_mcp/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/thoughtspot_spotter_mcp/framework/hermes-agent)

## TL;DR

### Why use Composio over default connectors?
- Apps with read and write access. Default connectors mostly can read your data. Composio's ThoughtSpot Spotter integration lets ChatGPT Work take actions like creating drafts, sending updates, labeling records, and more.
- 1,500+ SaaS toolkits out of the box. Composio gives you instant access to a vast catalog of pre-built connectors, from Gmail and Slack to Notion, Linear, and Salesforce.
- One MCP server for every app. Connect any of your applications on demand through a single endpoint, rather than juggling a separate server for each app.
- Smart, context-aware tool loading. Unlike traditional MCP servers that dump every available tool into the LLM context window, Composio searches for and loads only the tools relevant to the task at hand.
- Cross-app automation. Chain actions across multiple apps in a single run - fetch a thread, summarize it in Notion, and post highlights to Slack without leaving the conversation.

## Connect ThoughtSpot Spotter MCP to ChatGPT Work

### Prerequisites
- A ChatGPT account with access to ChatGPT Work (rolling out across Pro, Enterprise, Edu, Plus, and Business plans). We will use the [ChatGPT desktop app](https://openai.com/chatgpt/download/), which is available on every plan.
- Access to the ThoughtSpot Spotter workspace you want to connect.
- [Composio MCP](https://dashboard.composio.dev/login?utm_source=toolkits&utm_medium=framework_template&utm_campaign=chatgpt&utm_content=composio_connect&next=%2F~%2Forg%2Fconnect%2Fclients%2Fchatgpt).
Note: Composio connects through OAuth. You will be asked to sign in and approve specific permissions. Review the permission screen carefully if you are using a work account.
### Step-by-step: Connect ThoughtSpot Spotter to ChatGPT Work
### 1. Open the MCP settings
In ChatGPT Work, go to Settings and open the Plugins section. Inside the Plugins page, click the MCP tab.
### 2. Add the server
Click Add server. In the Name field enter Composio, for Type select Streamable HTTP, and in the URL field paste the Composio MCP server URL:

```bash
https://connect.composio.dev/mcp
```

## What is the ThoughtSpot Spotter MCP server, and what's possible with it?

The ThoughtSpot Spotter MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your ThoughtSpot Spotter account. It provides structured and secure access so your agent can perform ThoughtSpot Spotter operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `THOUGHTSPOT_SPOTTER_MCP_CHECK_CONNECTIVITY` | Check connectivity | Ping tool to test connectivity and authentication. You can use this if other tool calls are failing to verify if the connection is working. |
| `THOUGHTSPOT_SPOTTER_MCP_CREATE_ANALYSIS_SESSION` | Create analysis session | Start an analytical session with the Analytics Agent. This is the first step in a three-step workflow: create a session, send a message, then poll for updates. Once created, you can use the returned `analytical_session_id` to send analytical questions via `send_session_message` and retrieve answers via `get_session_updates`. Sessions are conversational, so you can ask follow-up questions in the same session without creating a new one. Using a single analytical session is preferable, because it reuses the same data source selection. |
| `THOUGHTSPOT_SPOTTER_MCP_CREATE_DASHBOARD` | Create dashboard | Create a dashboard from a list of answers, allowing the user to revisit the results later. You can use this if the user asks for a dashboard or liveboard, or asks to save the results from the analysis. This can be a useful way to save the results to revisit later, or present them to other users. |
| `THOUGHTSPOT_SPOTTER_MCP_GET_SESSION_UPDATES` | Get session updates | Get the latest updates from the Analytics Agent. You can call this after `send_session_message` to retrieve the Agent's response. If `is_done` is false, you can call this tool again to continue polling, as the Agent is still generating a response. Even if `is_done` is false, you can use the updates to show status updates or progress to the user, so that they are informed about the ongoing process. An empty `session_updates` list while `is_done` is false is normal; it means the Agent is still thinking. When `is_done` is true, the Agent has finished and the results in `session_updates` are complete, so you can present them to the user. You can also send a follow-up message in the same session after `is_done` is true. If the completed response indicates that no data or no results were found, AND the `list_orgs` tool is available to you, the requested data may live in a different org or the user may not have access to it in the current org: tell the user this and that they can call `list_orgs` to see their orgs (the active one is marked `is_active`) and `switch_org` to switch to another org, then retry. If `list_orgs` is not available, do not mention orgs. |
| `THOUGHTSPOT_SPOTTER_MCP_LIST_ORGS` | List orgs | List the Orgs the authenticated user can access on the ThoughtSpot instance, including the ID, name, and description of each Org. The Org marked `is_active: true` is the one currently active for your account, which all tool calls operate against. Use this to tell the user which Org they are in. Only available when authenticated via OAuth. If the list is large , summarize or show only the most relevant orgs (e.g. the active one and a few others) rather than listing all of them, unless the user explicitly asks to see all orgs. |
| `THOUGHTSPOT_SPOTTER_MCP_SEARCH_OBJECTS` | Search objects | Search for objects (Answers, Liveboards, Worksheets) in ThoughtSpot matching a given search term. Supports optional filters (types, owner, tag, modified_since, verified_only) and pagination (limit, cursor). Returns `results` (ranked), plus `next_cursor`. Each result carries: object_id, title, type (LIVEBOARD \| ANSWER \| LIVEBOARD_VIZ \| WORKSHEET; LIVEBOARD_VIZ is a viz pinned on a Liveboard — render it as 'Liveboard viz'), author_name, description, tags, last_modified (ISO-8601), verified, external_link, query (Answer/viz sage tokens; null for Liveboards) and confidence. Returns identifiers and metadata only — never the object's data or contents, and it does not run queries. How to present the results: • Render as a table with fixed columns in this order: Object (the name, linked to `external_link`) · Type · Owner · Verified (✓ or —) · Last Modified. • Put the description and, for an Answer/viz, the `query` tokens as sub-lines under the name (e.g. '↳ sales by region, last 3 months') — never as their own columns. • Render `last_modified` as a plain date (2026-05-15), never the raw timestamp. • Lead with the top match; if the top 2–3 are close, present them as ranked candidates. • Never surface `next_cursor` or the numeric `confidence` in your prose. Outcomes other than a hit list: • `status: "no_results"` — the search ran but nothing matched. Tell the user nothing matched, and suggest broadening the term or dropping a filter. Do not invent results. • `status: "error"` — the search failed. Tell the user briefly using `error.message`; if `error.retryable` is true, offer to try again. Never show `error.code`. |
| `THOUGHTSPOT_SPOTTER_MCP_SEND_SESSION_MESSAGE` | Send session message | Send a message to a session with the Analytics Agent. The Agent may take some time to think and generate a response, so the response will not be returned immediately. Instead, you can use the `get_session_updates` tool to query for the latest updates on the session. After the Agent finishes responding (when `get_session_updates` returns `is_done: true`), you can send another message to the same session to ask follow-up questions without creating a new session. Do not send a new message until the Agent has finished responding to the previous message (when `get_session_updates` returns `is_done: true`). If the user wants to create a dashboard, do not send a message with that request; instead use the `create_dashboard` tool. |
| `THOUGHTSPOT_SPOTTER_MCP_SWITCH_ORG` | Switch org | Switch the active Org. After switching, all subsequent tool calls (analysis sessions, answers, data sources, dashboards) operate against the selected Org. Pass an `org_id` returned by `list_orgs`. If you do not have access to the Org, the switch fails and the active Org is unchanged. The selection is durable and shared across all of your sessions — it persists across reconnects and applies to your other active conversations; it resets only on re-authentication or after prolonged inactivity. Only available when authenticated via OAuth. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

Once connected, ChatGPT Work can access the ThoughtSpot Spotter MCP server via Composio to run actions that you authorize, directly in your workspace.

## Complete Code

None listed.

## How to build ThoughtSpot Spotter MCP Agent with another framework

- [Claude Cowork](https://composio.dev/toolkits/thoughtspot_spotter_mcp/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/thoughtspot_spotter_mcp/framework/hermes-agent)

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## Frequently Asked Questions

### What are the differences in Tool Router MCP and ThoughtSpot Spotter MCP?

With a standalone ThoughtSpot Spotter MCP server, the agents and LLMs can only access a fixed set of ThoughtSpot Spotter tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from ThoughtSpot Spotter and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with ChatGPT Work?

Yes, you can. ChatGPT Work fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right ThoughtSpot Spotter tools.

### Can I manage the permissions and scopes for ThoughtSpot Spotter while using Tool Router?

Yes, absolutely. You can configure which ThoughtSpot Spotter scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your ThoughtSpot Spotter data and credentials are handled as safely as possible.

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