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Course Overview
- ThoughtSpot Spotter MCP Server
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MCP 101 5 min
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ThoughtSpot Spotter MCP Server: Architecture and Capabilities 3 min
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Connecting ThoughtSpot Spotter MCP Server to LLM Clients 1 min
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Using Spotter MCP Server with Skill Aware LLM Clients 3 min
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Using Spotter MCP Server in a Custom Application
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MCP Deployment and Security 5 min
- Resources
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Resources
- Review
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Review
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Knowledge Check
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Feedback
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ThoughtSpot Spotter MCP Server
This course provides a comprehensive overview of the ThoughtSpot Spotter MCP Server, covering its architecture, deployment, and security, and includes a practical demo of MCP in action with Claude.
This course introduces you to the ThoughtSpot Agentic MCP Server and how it connects AI clients like Claude or ChatGPT to enterprise analytics in a secure and structured way. It is designed for anyone looking to understand how MCP works and how it enables AI-powered insights.
We'll start with the fundamentals of MCP, including the roles of the host, client, and server, and how Spotter delivers context to AI agents.
You'll then learn the different deployment models, authentication methods, and the security safeguards that keep enterprise data protected. Towards the end, you'll see a demo of the MCP Server in action with Claude, showing how an AI client can retrieve answers, generate insights, and even auto-build Liveboards.
By the time you finish, you'll have a clear understanding of MCP concepts, deployment and security practices, and how ThoughtSpot makes analytics accessible through AI. This course includes video lessons, architecture walkthroughs, and concludes with a knowledge check. While the knowledge check is not graded, it is designed to help you assess your understanding of the key concepts covered.