AI & MCP

AI Overview

Recense supports three AI paths. All three give you the same capabilities — the difference is where the model runs and how you authenticate.

AI & MCP

The three paths

BYOK
Your API key, calls go directly from your browser to the provider. Best for individual users who want provider and model control.
Hosted
Recense-managed agent, no key required. Best for teams who want zero-setup AI with usage metering.
MCP
External assistant (Claude Code, Claude Desktop, ChatGPT) controls your session. Best for users who want AI assistant integration from their desktop app or IDE.

AI & MCP

What the agent can do

  • Describe the dataset structure, variables, and metadata.
  • Build and modify tables on the canvas.
  • Apply filters, weights, and measures.
  • Interpret results and explain statistical output.
  • Assist with text coding workflows.

AI & MCP

One behaviour model

The in-app agent and MCP tools act on the same session. Prompts, tools, and visible state stay aligned regardless of which path you use.

AI & MCP

Before you start

  • Sign in so your plan and access level can be resolved.
  • Open a dataset before expecting useful AI output.
  • For MCP workflows, keep the Recense browser tab open — the AI assistant needs to connect to your live session.

AI & MCP

Detailed setup

  • BYOK setup — add your own Anthropic, OpenAI, Google, or Fireworks key.
  • Hosted agent — use the built-in agent with no key management.
  • MCP setup — connect Claude Code, Claude Desktop, ChatGPT, or custom clients.