Relevance AI

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Your guide for Relevance AI

Overview

Relevance AI MCP connects Relevance AI’s data and workflow platform directly to your chat interface, so you can query datasets, run workflows, and build agents using natural language. Eliminate context switching and make powerful AI features available where you already work.


Use any leading LLM while retaining access to Relevance AI capabilities like vector search, custom pipelines, and automated reporting. This integration turns complex operations into simple conversations, accelerating insights and productivity across your team.

How to connect Relevance AI MCP

Click Connect, sign in to your Relevance AI account, and approve access. The setup takes minutes, and your projects, datasets, and workflows become available in the chat interface immediately after authentication.


Start a new chat and describe what you want: for example, “analyze sentiment in my latest survey” or “build a lead scoring workflow.” The assistant will execute steps, ask for missing details, and show results or next actions.

Top benefits of using Relevance AI through chat

Conversational Data Analysis

Ask questions like “find churn predictors in last quarter’s data” and receive clear, actionable insights—no complex UI, SQL, or notebooks required.

Workflow Automation by Chat

Describe your goal (e.g., “create a weekly KPI report from CRM and product logs”), and the assistant assembles the pipeline, schedules runs, and shares outputs.

Instant Dataset Exploration

Quickly profile, filter, and visualize large datasets with plain language prompts, speeding up discovery and reducing time-to-insight.

Frequently Asked Questions