# ThoughtSpot Spotter MCP

```json
{
  "name": "ThoughtSpot Spotter MCP",
  "slug": "thoughtspot_spotter_mcp",
  "url": "https://composio.dev/toolkits/thoughtspot_spotter_mcp",
  "markdown_url": "https://composio.dev/toolkits/thoughtspot_spotter_mcp.md",
  "logo_url": "https://logos.composio.dev/api/thoughtspot_spotter_mcp",
  "categories": [
    "analytics & data"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-09-07T05:38:07.887Z"
}
```

![ThoughtSpot Spotter MCP logo](https://logos.composio.dev/api/thoughtspot_spotter_mcp)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with ThoughtSpot Spotter MCP or direct API to query governed data, generate natural-language answers, run root-cause analyses, and export visualizations through natural language.

## Summary

ThoughtSpot Spotter MCP is an enterprise analytics platform for natural-language search and governed insights.
Get trusted, explainable analytics and root-cause answers at scale.

## Categories

- analytics & data

## Toolkit Details

- Tools: 8

## Images

- Logo: https://logos.composio.dev/api/thoughtspot_spotter_mcp

## Authentication

- **Dcr Oauth**
  - Type: `custom`
  - Description: Dcr Oauth authentication for ThoughtSpot Spotter MCP.
  - Setup:
    - Configure Dcr Oauth credentials for ThoughtSpot Spotter MCP.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Find trends in quarterly sales data
- Explain root cause of traffic drop
- Create dashboard of top customer segments

## 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.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK
```python
pip install composio_openai
```

```typescript
npm install @composio/openai
```

#### Path 1, Step 2: Initialize Composio and Create Tool Router Session

Import and initialize Composio client, then create a Tool Router session
```python
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
openai = OpenAI()
session = composio.create(user_id='your-user-id')
```

```typescript
import OpenAI from 'openai';
import { Composio } from '@composio/core';
import { OpenAIResponsesProvider } from '@composio/openai';

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
```

#### Path 1, Step 3: Execute ThoughtSpot Spotter MCP Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute ThoughtSpot Spotter MCP actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'YOUR_SPECIFIC_PROMPT_HERE'
  }]
)
result = composio.provider.handle_tool_calls(
  response=response,
  user_id='your-user-id'
)
print(result)
```

```typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'YOUR_SPECIFIC_PROMPT_HERE'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK for Python or TypeScript
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
```

#### Path 2, Step 2: Initialize Client and Create Tool Router Session

Import and initialize the Composio client, then create a Tool Router session for ThoughtSpot Spotter MCP
```python
from composio import Composio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions

composio = Composio(api_key='your-composio-api-key')
session = composio.create(user_id='your-user-id')
url = session.mcp.url
```

```typescript
import { Composio } from '@composio/core';

const composio = new Composio({ apiKey: 'your-api-key' });
const session = await composio.create('your-user-id');
console.log(`Tool Router session created: ${session.mcp.url}`);
```

#### Path 2, Step 3: Connect to AI Agent

Use the MCP server with your AI agent (Anthropic Claude or Mastra)
```python
import asyncio

options = ClaudeAgentOptions(
    permission_mode='bypassPermissions',
    mcp_servers={
        'tool_router': {
            'type': 'http',
            'url': url,
            'headers': {
                'x-api-key': 'your-composio-api-key'
            }
        }
    },
    system_prompt='You are a helpful assistant with access to ThoughtSpot Spotter MCP tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('YOUR_SPECIFIC_PROMPT_HERE')
        async for message in client.receive_response():
            if hasattr(message, 'content'):
                for block in message.content:
                    if hasattr(block, 'text'):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: session.mcp.url,
    headers: {
      'x-api-key': 'your-composio-api-key',
    },
  },
});

const tools = await client.tools();
const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{
    role: 'user',
    content: 'YOUR_SPECIFIC_PROMPT_HERE'
  }],
  maxSteps: 5,
});

console.log(`Agent: ${text}`);
```

## Why Use Composio?

### 1. AI Native ThoughtSpot Spotter MCP Integration

- Supports both ThoughtSpot Spotter MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable tool execution
- Rich coverage for reading, writing, and querying your ThoughtSpot Spotter MCP data

### 2. Managed Auth

- Built-in OAuth handling with automatic token refresh and rotation
- Central place to manage, scope, and revoke ThoughtSpot Spotter MCP access
- Per user and per environment credentials instead of hard-coded keys

### 3. Agent Optimized Design

- Tools are tuned using real error and success rates to improve reliability over time
- Comprehensive execution logs so you always know what ran, when, and on whose behalf

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access ThoughtSpot Spotter MCP
- Scoped, least privilege access to ThoughtSpot Spotter MCP resources
- Full audit trail of agent actions to support review and compliance

## Use ThoughtSpot Spotter MCP with any AI Agent Framework

Choose a framework you want to connect ThoughtSpot Spotter MCP with:

- [ChatGPT Work](https://composio.dev/toolkits/thoughtspot_spotter_mcp/framework/chatgpt)
- [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

### Do I need my own developer credentials to use ThoughtSpot Spotter MCP with Composio?

Yes, ThoughtSpot Spotter MCP requires you to configure your own Dcr Oauth credentials. Once set up, Composio handles token storage, refresh, and lifecycle management for you.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
