--- schema_version: "1" id: 475ee7f47a4f261e73fabf670be2f5e851d0c5462829c2a0c7d8e165a6d74b71 title: Tableau Next Model Context Protocol (MCP) Server collection: admin version: current locale: en-us portal_url: https://docs.salesforce.com/admin/current/en-us/analytics/264-0-0/tua_data_sdm_mcp.md canonical_url: https://help.salesforce.com/s/articleView?id=analytics.tua_data_sdm_mcp.htm&release=264.0.0&type=5 source_site: help.salesforce.com content_type: documentation content_hash: b5042b13d636a2bc5f67eb8824b18f5923f9ac5b9e449a4073465483162aab96 description: Tableau Next Model Context Protocol (MCP) connects your Tableau Next governed analytics, metadata, and semantic models to external MCP-compliant AI agents such as ChatGPT or Claude. This integration lets you use your Tableau Next data and user experience directly within your AI workflows without moving data or breaking trust boundaries. products: - Tableau Next release: "264" --- # Tableau Next Model Context Protocol (MCP) Server Tableau Next Model Context Protocol (MCP) connects your Tableau Next governed analytics, metadata, and semantic models to external MCP-compliant AI agents such as ChatGPT or Claude. This integration lets you use your Tableau Next data and user experience directly within your AI workflows without moving data or breaking trust boundaries. ### Required Editions
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## Why Use Tableau Next MCP? Using Tableau Next MCP provides several key benefits: - **Interoperability Across Agentic Ecosystems**: Concierge: Analytics Q&A engine gives your AI agents secure, natural language access to governed data. This integration allows agents to generate answers directly from your Tableau Next models within your preferred AI tools. - **Grounded AI Responses**: Empower your AI agent responses with a ready to use semantic layer. - **Metadata-Rich Discovery**: Enable agents to understand dashboards, KPIs, and analytical assets directly from Tableau Next for better context and discovery. ## Frequently Asked Questions (FAQs) **What's MCP?** The Model Context Protocol (MCP) is an open standard that enables AI models to securely access data, tools, and context from specialized systems. Tableau Next MCP Server uses the protocol to expose Tableau Next analytical capabilities to external AI agents. **Is Tableau Next MCP secure?** Tableau Next MCP uses the data privacy and security tools provided by the AI Platform in Salesforce. Each interaction is protected by the same enterprise-grade standards as your current Tableau Next environment. **How does Tableau Next MCP Server use Concierge: Analytics Q&A?** Concierge: Analytics Q&A is exposed as an Analytics Q&A tool, making its functionality available externally through any MCP client. In short: Concierge powers Tableau Next’s own conversational experience, and Tableau Next MCP Server lets other AI systems call that same capability. When you use Tableau Next MCP, you’re using Concierge through a different frontend interface. - **[Enable Tableau Next Model Context Protocol (MCP) Server](https://help.salesforce.com/s/articleView?id=analytics.tua_data_sdm_mcp_enable.htm&release=264.0.0&type=5)** Use the workflow to enable the Tableau Next Model Context Protocol (MCP) Server - **[Tableau Next Model Context Protocol (MCP) Server Tool Reference](https://help.salesforce.com/s/articleView?id=analytics.tua_data_sdm_mcp_tools.htm&release=264.0.0&type=5)** ‌Tableau Next MCP (Model Context Protocol) Server provides a suite of tools that allow external AI agents to interact with your analytical ecosystem. - **[Tableau Next MCP (Model Context Protocol) Server Troubleshooting and Tips for Success](https://help.salesforce.com/s/articleView?id=analytics.tua_data_sdm_mcp_tips.htm&release=264.0.0&type=5)** Use these solutions to resolve common issues and optimize the performance of Tableau Next MCP Server across different AI clients. - **[Tableau Next MCP Beta Server (Beta)](https://help.salesforce.com/s/articleView?id=analytics.tua_data_mcp_beta_server.htm&release=264.0.0&type=5)** The Tableau Next Model Context Protocol (MCP) Beta Server is a companion to the generally available Tableau Next MCP Server. It gives you early access to tools that create, update, and delete dashboards, semantic models, visualizations, and alerts before they reach general availability. - **[Tableau Next MCP Beta Server Tool Reference (Beta)](https://help.salesforce.com/s/articleView?id=analytics.tua_data_tableau_next_mcp_beta_server_tool_reference.htm&release=264.0.0&type=5)** This reference contains beta tools for Tableau Next Model Context Protocol (MCP) Server. Each tool is organized by its category in alphabetical order #### See Also - [_Salesforce Help:_ Agent Analytics](https://help.salesforce.com/s/articleView?id=ai.generative_ai_agent_analytics.htm&language=en_US) - [Configure the Service Agent Analytics Semantic Model and Metrics](https://help.salesforce.com/s/articleView?id=analytics.tua_create_service_agent_analytics_sdm.htm&release=264.0.0&type=5 "The Tableau Next Service Agent Model and Metrics template is designed to enhance service agent performance and conversation metric tracking. It helps you optimize agents by providing a tailored set of data. The template installs the semantic model, 14 pre-configured metrics, and over 30 calculated fields. These insights offer a detailed analysis of agent sessions across various dimensions, enabling data-driven decisions, improving agent quality, and identifying specific areas for agent improvement.")