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A/B testing tools an AI agent can use in 2026 (API and MCP)

To let an AI agent run website split tests end to end, Luria has a remote MCP server (https://www.luriart.com/api/mcp) and REST API: the agent adds a site, installs one tag, starts a test and reads the winner. PostHog, GrowthBook and Statsig expose APIs for feature-flag experiments inside product code.

Updated October 28, 2026 by Baneet Singh, founder of Luria. Each tool is described from its own site; check their pages for current prices and features.

How to choose

• Agent can finish the job. Sign-up, install, start, read result: each step callable, with errors that say what to send next.
• Sign-in without pasting keys. MCP with OAuth lets the owner press Allow once.
• Guardrails. Spend caps, a kill switch and the owner's OK before the first live change.
• Web pages or product code. Marketing pages need a tag; in-app features need SDK flags.

The tools

1. Luria

   Built for agents: one MCP connection (Claude, Claude Code, ChatGPT, Codex, Cursor) or REST calls to add a site, verify the tag, create or auto-create tests, read heatmaps and recordings, and get the winner. Prepaid credits; 1,000 free on sign-up.

   Best for: Agents and developers who want live website tests without building a testing stack.

2. PostHog

   An open-source product analytics suite with feature flags and experiments, plus an MCP server.

   Best for: developers testing features inside their own product code.

3. GrowthBook

   An open-source feature flagging and experimentation platform that reads results from your data warehouse.

   Best for: engineering teams that want experiments on top of their own warehouse.

4. Statsig

   A feature flag and experimentation platform for product teams (bought by OpenAI in 2025).

   Best for: product engineering teams running many in-app experiments.

Deeper one-to-one comparisons: all A/B testing tools compared.