Convert Experiences MCP Server

Use your favorite AI to build, improve & scale your experiments

Our MCP Server lets you read results, run audits, and build tests in plain language while keeping people in control of access, pausing, and deletion.

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  • 15 days
  • Full features
  • No credit card

Available on

All plans

Controlled access

Hosted: OAuth account and project approval · Local: reporting / readOnly / all

Secure

OAuth for hosted, HMAC-signed for local

Documentation

9,523 indexed documentation chunks built in

Trusted by teams running AI-assisted experimentation with Convert Experiences

Compliant

ISO 27001 SOC 2 Type 2 GDPR HIPAA

What you can do with the Convert Experiences MCP Server

Read your whole program in one conversation

If you analyze tests, you already know the tax: exporting reports, opening experiments one by one, stitching the picture together by hand. Connect Convert Experiences to an assistant like Claude Desktop and you can ask for a summary of every experiment in a project over the last quarter, then read performance, decisions, and lift across the whole portfolio in a single reply - each result reported under that experience's configured statistics engine.

Turn past tests into patterns

A finished test is only worth as much as what you learn from it. Used with read access, the Convert Experiences MCP Server helps you surface patterns across concluded tests: which pages tend to win, which changes keep failing, where tests ended without a clear verdict under their configured statistics engine. The question moves from “did this one win?” to “what have we learned across all of them?”, and your next roadmap is built on evidence instead of instinct.

From the Hype Digital Nucleus case study

Build tests in your IDE, land them as reviewable drafts

If you write the code, you spend too much of the day on boilerplate. Build and configure an experience inside an IDE such as Cursor, then create it in Convert Experiences as a draft through the MCP Server. Verified draft workflows read the saved configuration back from your account so you can confirm what was persisted, and you can review every line of AI-generated code before anything goes live.

Standardize QA and reporting across every client

Running several accounts means repeating the same checks in each one. With curated MCP prompt templates, you run audits, QA passes, and portfolio summaries across multiple client projects in Convert Experiences without logging in and out, and you keep access scoped to each client’s authorized account and projects.

How it works

How the Convert Experiences MCP Server works

Ask in plain English, get live data back

Ask “How many experiences are running right now?” or “Summarize every A/B test above a 5% conversion rate from the last 30 days,” and you get an answer pulled from your real account. No SQL, no hand-written API calls, no manual export. The Convert Experiences MCP Server gives the model a structured way to read live account, project, experience, goal, and audience data, so what comes back reflects what is actually happening, not a stale snapshot. Behind that simple exchange, the hosted connector exposes the broad Convert Management API surface through 45 tools: 40 safety-separated read, write, and delete tools, plus five optional render tools that add visual views on request. The model always receives and reasons from the underlying data first. The local npm package remains a compact 16-tool server.

Two connection models. You hold the keys

How access works depends on which server you run. With the hosted connector, you sign in with Convert OAuth and approve exactly which accounts and projects it can reach. Read, write, and delete actions are exposed as separate tool surfaces rather than a single switch. The local npm server has three profiles set in its configuration: reporting, readOnly, and all. reporting covers analytics and insights; readOnly adds detailed configuration and history; all adds create, update, and delete actions. These profiles limit the available tools, while your Convert permissions remain the final authorization boundary. The hosted connector cannot create new projects yet because its OAuth grant covers only existing projects you approved. The local server can create projects when your Convert permissions allow it.

A Convert expert built into the conversation

When you hit a “how do I…” question, you do not have to leave the chat to find the answer. The Convert Experiences MCP Server carries Convert’s documentation inside it. 9,523 indexed chunks across 1,145 URLs, prioritizing Convert support guidance, then developer and API documentation, followed by public website context. Ask how to set up revenue tracking for a Shopify store or what an experiment’s body schema needs, and the answer comes back grounded in current Convert documentation.

Guided workflows for repetitive jobs

Some jobs are too repetitive to spell out step by step every time. The Convert Experiences MCP Server includes 20 curated prompts that guide you through repeatable workflows, alongside tools built for the same jobs. Think full project audits, portfolio reviews, high-impact experience opportunities, draft QA, health checks, investigation intelligence, and more. To save you the blank page, Convert publishes 17 ready-made templates grouped for strategists, developers, and cross-functional teams.

Guardrails on every write

The honest worry about letting AI write to a live program is the one bad command. The Convert Experiences MCP Server validates every write before it reaches your account. It blocks unsupported payloads and invalid match objects, forces split URL updates through the correct path, validates typed feature-flag defaults, and backs off on rate-limit errors without retrying unsafe writes. Beyond validation, state changes ask for your sign-off: activating or pausing an experience requires explicit confirmation, and permanent deletion requires a second, exact confirmation before anything is removed.

Results read the way your experience is configured

For tracked experiences, the MCP Server interprets each fresh Convert report according to the experience’s currently configured statistics engine: Bayesian, fixed-sample Frequentist, or sequential Frequentist. It uses the vocabulary of that engine instead of collapsing every result into a generic winner. Multi-armed bandit allocation steers traffic; it is not evidence of a winner. When a sample ratio mismatch is detected, the server withholds an inferential verdict until the imbalance is resolved. Deploy experiences are not visitor- or conversion-tracked by design, and the server reports them as such, rather than inventing results.

15 days, full features, no credit card required

Two ways to connect

Hosted or local, whichever fits your team

Convert MCP comes in two flavors. Most teams use the hosted connector. Developers who need a local setup can use the npm package instead.

Hosted remote connector

Recommended

Best for analysts, strategists, and most teams.

How you connect
Add the connector URL to your AI client, sign in to Convert, approve access.
Authentication
Convert OAuth — you approve which accounts and projects the connector can reach.
Credentials
Managed by Convert OAuth; nothing to store locally.
Access control
OAuth scopes plus account/project approval, with safety-separated read, write, and delete tool surfaces and guardrails on writes.
Tool surface
45 tools: 40 safety-separated read / write / delete, plus 5 optional render tools
Project creation
Not currently available — OAuth grants are scoped to existing selected projects
Connector URL
https://mcp.ai.app.convert.com/mcp

Local npm setup

For developers

Best for developers who want a local stdio server.

How you connect
Run the npm package in your MCP client config.
Authentication
Convert API credentials (Application ID + Secret Key).
Credentials
Stored in your local MCP client environment.
Access control
TOOLS_FOR_CLIENT set to reporting (default), readOnly, or all.
Tool surface
16 tools, scoped by reporting / readOnly / all
Project creation
Available when your Convert permissions allow it
Run command
npx -y @convertcom/mcp-server@latest

Why it works

Convert Experiences MCP Server keeps you in control

Source: Convert MCP Server support documentation, corroborated by agency users Hype Digital and Optiphoenix.

Local npm

Read-only until you say so

The local npm server starts in reporting mode, so an AI assistant can read and analyze your data but cannot change anything until you escalate access yourself.

Both

Writes are checked, not auto-trusted

Guardrails block unsupported payloads and invalid match objects, force split URL updates through the correct path, and validate typed feature-flag defaults before any change reaches your account. Activation and pause ask for explicit confirmation, and permanent deletion requires a second, exact confirmation.

Both

Answers come from real docs

The built-in knowledge base holds 9,523 indexed chunks across 1,145 documentation URLs, prioritizing Convert support guidance, then developer and API documentation, followed by public website context, so answers are grounded in current Convert documentation.

Both

You ship the change

The Convert Experiences MCP Server is built for human-in-the-loop work. The model drafts and proposes, you review and approve before anything reaches a live experiment.

Local npm

Every request is signed

The Convert Experiences MCP Server signs each request with HMAC-SHA256, expires requests after 60 seconds, and keeps your API keys in your local environment, so credentials never leave your machine.

Hosted

You approve what the connector can reach

With the hosted connector, you sign in to Convert and approve which accounts and projects the connector can access before it can do anything. Its tools are safety-separated, so read, write, and delete are distinct surfaces

Convert MCP versus the black box

Some AI testing tools optimize your program on their own and tell you the result afterward, which means trusting an outcome you never watched being made. The Convert Experiences MCP Server takes the opposite side. The model reads your data, drafts the work, and explains what it would change. Then you run the final command. The speed comes from cutting the manual labor of pulling reports and writing boilerplate, not from cutting you out.

See documentation

Case studies

Real teams, real AI-optimized workflows with Convert Experiences MCP Server

Use the Convert MCP server to build custom tools

If you build AI tools, the Convert Experiences MCP Server is also something to build on. Point your copilots, agents, or internal interfaces at Convert as the experimentation layer underneath.

  • In your own AI tools: Connect the Convert Experiences MCP Server inside a custom interface, the way Hype Digital did with Nucleus, so your team works with experiment data in an environment you own.
  • In skill packs and agents: Use the Convert Experiences MCP Server as a callable endpoint in an agent workflow, so running an audit, drafting a QA plan, or setting up a test becomes one step in something larger.
  • In your own tooling: The Convert Experiences MCP Server exposes Convert’s REST API v2 through a standard MCP interface, so whatever you build talks to Convert the same way every other MCP client does.

If you are putting experimentation inside an AI product, Convert Experiences is built to be the endpoint behind it.

Read the developer docs→
Jayden G Li, LinkedIn Post

How to get started

How to set up the Convert Experiences MCP Server

You can be running in a few minutes. Most teams use the hosted connector; developers can run a local server instead.

Hosted connector

Recommended

Add a custom connector

In Claude or ChatGPT (web), open the app or connector settings and add the hosted connector.

Paste the connector URL

Use https://mcp.ai.app.convert.com/mcp. In Claude Code, Cursor, Codex, or another compatible developer client, add a remote MCP server using Streamable HTTP and the same URL. Complete the Convert OAuth flow when prompted.

Sign in and approve access

Connect, sign in to Convert, and approve the account or project access, then complete the OAuth flow.

Use a capable model for writes

For write actions, use a current, capable model and enable its higher-reasoning mode when available.

Start asking

Have the assistant summarize experiments, run an audit, or create draft tests for review. To skip the blank page, start from one of Convert’s 17 ready-made prompt templates.

Local API-key setup

For developers

Get your Convert API credentials

In Convert Experiences, open Account Settings, then API Keys, and copy your Application ID and Secret Key.

Run the npm package

Run npx -y @convertcom/mcp-server@latest from your MCP client configuration, with your credentials as environment variables.

Set your access level

Set TOOLS_FOR_CLIENT to reporting, readOnly, or all.

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How Convert builds

Convert’s values

Privacy is architecture

Convert Experiences uses first-party cookies only and stores experiment data on servers in Frankfurt, Germany. Compliance is built into the development lifecycle, not bolted on after launch.

Experimentation should be accessible

Convert Experiences publishes its pricing in full on a single pricing page, with flat-rate plans and no per-module add-on charges. Every paid Convert Experiences customer can self-serve from day one.

Lean platform, not bloated suite

Convert Experiences is an experimentation platform. Not a CMS, not a personalization-only product, not an analytics suite. Convert ships what experimentation needs and stops there.

Convert team cleaning up the Kotor Bay beach, together.
Convert team cleaning up the Kotor Bay beach, together.

Conscious business

Convert Experiences is operated by a Climate Neutral Certified business. Convert runs on carbon-neutral servers in Frankfurt, donates 1% of revenue to Stripe Climate and 1% to conservation initiatives, and uses 8% of every plan fee to plant trees through TIST, totaling over 94,035 trees planted as of May 2026.

Convert Experiences MCP Server: Frequently Asked Questions

What is the Convert Experiences MCP Server?

The Convert Experiences MCP Server is a Model Context Protocol server that connects Convert experimentation data to AI assistants such as Claude Desktop and Cursor. As of 2026, it lets analysts, strategists, and developers read experiment results, run audits, and build tests in plain language. The hosted connector authorizes access through Convert OAuth at the account and project level; the local npm server defaults to the read-only reporting profile.

Do I need to be technical to use Convert Experiences MCP Server?

No. With read access, you can ask the Convert Experiences MCP Server plain-language questions, like summarizing a quarter of experiments, without writing code or exporting data. The technical work, such as building and deploying tests from an IDE, is where developers add the Convert Experiences MCP Server to a tool like Cursor.

Which AI assistants does Convert MCP Server work with?

The Convert Experiences MCP Server works with Claude, ChatGPT, Cursor, Codex, and compatible MCP clients that support remote Streamable HTTP and OAuth. For write actions, use a current, capable model and enable its higher-reasoning mode when available.

Can the AI change my live experiments without me knowing in Convert Experiences?

No, not by default. With the local npm setup, the Convert Experiences MCP Server starts in reporting mode, which is read-only. With the hosted connector, you approve which accounts and projects it can reach when you sign in to Convert. In both setups, the model drafts and verifies work, and you approve changes before anything reaches a live experiment.

Activation and pause require explicit confirmation; permanent deletion requires a second, exact confirmation; and verified draft workflows read the saved configuration back from your account so you can confirm what persisted.

How is the Convert Experiences MCP Server secured?

It depends on the setup. The hosted connector uses Convert OAuth: you sign in and approve which accounts and projects it can reach. The local npm setup uses your Convert API credentials and signs each request with HMAC-SHA256, keeping keys in your local environment. Both apply MCP guardrails that validate writes and block unsupported or invalid payloads before they reach your account.

On the hosted connector, tools are also safety-separated, so read, write, and delete are distinct surfaces.

Which plans include MCP Server in Convert?

The Convert Experiences MCP Server is included with Growth, Pro, and Enterprise plans and is not sold as a separate add-on. The hosted connector authenticates through Convert OAuth; the local npm server uses a Convert Application ID and Secret Key from Account Settings. Customers on legacy plans can confirm availability in Account Settings or with Convert Support.

How is the Convert Experiences MCP Server different from Optimizely’s?

Convert Experiences has offered an MCP server since 2025, while Optimizely released its remote MCP server for experimentation in April 2026. Both connect experimentation data to AI assistants. The Convert Experiences MCP Server keeps read, write, and delete as separate tool surfaces on the hosted connector, while the local server defaults to the read-only reporting profile. Its built-in knowledge base contains 9,523 indexed documentation chunks, so setup questions can be answered in the same conversation.

Does MCP Server in Convert cost extra to run?

The Convert Experiences MCP Server is free to install and runs from your AI client using Convert OAuth for hosted access, or your existing API credentials for the local server. Standard Convert Experiences plan terms and any applicable API usage apply as of 2026.

Where do I find ready-made prompts and templates to use with Convert MCP Server?

Convert Experiences provides 17 prompt templates grouped for strategists, developers, and cross-functional teams, covering audits, portfolio summaries, QA checks, and test creation. The templates are published on Convert’s MCP templates page as copy-paste starting points.

Convert Experiences MCP Server

Connect Convert to your AI assistant and start managing your experiment program in plain language

Talk to our team

15 days, full features

Editorial DisclosureThis page is reviewed quarterly. The next scheduled review is August 2026. Written by Uwem (freelance copywriter, working with Convert). Reviewed by Carmen Apostu, Editor, and Trina Moitra, Chief Marketing Officer at Convert.

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