INTEGRATION · MCP SERVER

Your AI assistant, your growth agent.

An OAuth 2.1 + PKCE-secured Model Context Protocol server. Point Claude or any MCP-capable assistant at it and run experiments, check live rankings, crawl competitors, and read your analytics — in plain language, grounded in real data.

Watch 2-min demo ▸

◉ 27 TOOLS · 17 READ · 10 WRITE◉ OAUTH 2.1 + PKCE◉ ATTESTATION TOKENS

How it works Capabilities Technical specs

THE DIFFERENTIATOR

No other optimization platform lets an AI agent operate on your data.

Optimizely has a dashboard. Crayon has a dashboard. Every CI / CRO / SEO tool has a dashboard. Optimize Pilot has dashboards too — and an MCP server. Your AI assistant can now be the one asking "where do we rank vs Notion this week?" and getting back a real answer from real data, then drafting the experiment to respond.

◆ HOW IT WORKS

From "install" to "run experiments from your editor" in three moves.

TOTAL TIME · ~3 MIN

STEP 01

Install the MCP server

Add the Optimize Pilot MCP endpoint to your agent's config. Works with Claude and other MCP-capable clients.

ONE CONFIG LINE

STEP 02

Authorize with OAuth

First call triggers OAuth 2.1 + PKCE. Scoped tokens — read-only, write, or full — per agent per environment. Revokable per-token from the dashboard.

PKCE · SCOPED

STEP 03

Your agent operates

Ask in natural language. The agent picks tools, calls them, brings back grounded answers. Destructive ops require confirm=true. Every write action is attestation-signed.

27 TOOLS

◆ CAPABILITIES

Your growth stack, exposed as tools.

READ TOOLS · 17

Every signal your agent might need.

Site analytics, geographic and referrer breakdowns, page performance, engagement, real-time visitors, visit timing, goal details, browser/OS, experiments and their results, rank checks, keyword research, rank history, web search, action status. No gap between "what's in the dashboard" and "what the agent sees."

site_analytics · geographic · referrers · page_performance · engagement
real_time_visitors · search · visit_timing · goal_details · browser_os
experiments · experiment_results · rank_check · rank_history
keyword_research · web_search · action_status

PRODUCT VISUAL — PLACEHOLDER

WRITE TOOLS · 10

Your agent can actually ship.

Read tools are on every paid tier. Write tools are gated behind the mcp.write scope and require the Growth or Performance plan. Destructive operations (stop_experiment, deploy_winner) additionally require confirm=true in the tool call — no surprise rollouts.

suggest_experiment · create_experiment · start_experiment
pause_experiment · stop_experiment (confirm=true)
deploy_winner (confirm=true) · crawl_website
update_business_profile · update_recommendation_status
trigger_seo_audit

PRODUCT VISUAL — PLACEHOLDER

ATTESTATION

Proof the AI read it. Verification it shipped.

When your agent implements a recommendation, an attestation token captures what the agent read and the proof URL of the change. The server then verifies server-side that the change is actually live. This is how you trust an AI to touch production.

Per-action attestation tokens
Server-side verification of proof URLs
Full audit log of every tool call
Revocable per-agent, per-site tokens

PRODUCT VISUAL — PLACEHOLDER

CHAINABLE PROMPTS

Three prompts to start with.

Ships with three built-in chainable prompts that compose the read and write tools into full workflows: design_and_launch_experiment, weekly_performance_review, competitor_gap_brief. Drop them into a Claude project or Cursor rule and your agent has a running start.

design_and_launch_experiment — end-to-end with approval gates
weekly_performance_review — data pull + summary + next actions
competitor_gap_brief — Radar + SEO + Navigator composition
Fully customizable per workspace

PRODUCT VISUAL — PLACEHOLDER

ASYNC JOBS

Long-running crawls and audits stream back.

Competitor crawls and SEO audits take more than a single tool-call timeout. The MCP server returns a job ID and streams progress back to the client, so your agent sees the scan complete in real time and can follow up the moment data is ready.