The remote MCP platform built for operators

The same power developers have.
Now in your hands.

Arora is a remote MCP platform that connects your AI to the tools you already use. Plain language in. Real work out. No developer, no terminal, no missing features.

Why developers have been having all the fun.

MCP unlocked something big: AI that can finally use your tools. It moves data, updates records, and sends messages. Real work, start to finish. But the way MCP has been built so far, you needed a developer to get any of it.

Local servers that require terminal commands. Apps and tools without an MCP connection yet. The MCPs that do exist usually only cover a fraction of what the app can do. The same power developers have been showing off. Now in your hands.

Arora is the first MCP platform built for the people who run the company day to day. It's hosted, it covers every app we connect in full, and it runs on plain language.

What makes Arora different.

Most MCP servers are weekend projects. One engineer wraps an API, ships it, moves on. The result: a garage with tools dumped on the floor. Arora is built to spec.

Built to spec.

We design every connection by hand, optimizing for token efficiency, accuracy, and how naturally the AI can reach for the right action.

Full app coverage.

We cover the full API of every app we connect. So your AI can do everything you'd do in the app.

Context engineering.

Arora captures your workspace structure and team knowledge automatically at connect time.

Token optimization.

Arora exposes only what's relevant to the task in front of you, keeping every turn quick, cheap, and accurate.

Built for Operators

Every tool. Labeled, vetted, and ready.

When your AI connects through Arora, it doesn't guess which tool to use or how to use it. Every connector comes fully described — what it does, when it applies, and exactly how to call it. That's the difference between an AI that executes and one that fumbles.

Curation is the most important thing an MCP platform does. It's what Arora does best.

What remote MCP unlocks that a regular API can't.

If you've used an AI assistant with a Zapier integration, you've used AI with tools. So why Arora? Because Arora is built for AI, not for engineers.

Memory.

Your preferences, history, and business context persist across sessions and across AI tools. Move from one AI client to another. Your context comes with you.

Built for orchestration.

Automation runs the same task the same way every time. Orchestration coordinates many tools toward an outcome and adapts when things change.

Prompts and resources.

Reusable instructions and reference data your AI can pull on demand. Like giving your assistant a binder of SOPs.

Asks once, then runs clean.

Arora's tool requirements are visible up-front. The AI assistant can ask you for what's missing before burning tokens on guesses.

How it works.

1
Step 1

Connect your tools.

One click per app. Credentials are scoped to you, so the AI acts with your permissions, not a shared account. Connect multiple accounts to the same app in one workspace.

2
Step 2

Talk to your apps.

Plain language. No flowcharts. No drag-and-drop. "Pull every deal that's gone quiet for two weeks and draft a follow-up." That's it.

3
Step 3

See and act inside the conversation.

Arora ships interactive views via MCP APPs that let you review, edit, and approve work right inside the conversation. View a deal. Update a record. Approve a draft.

4
Step 4

Get insights, not just answers.

Because Arora knows your context, you stop getting generic AI answers. You get answers that reference your team, your data, your conventions, your history.

Who Arora is for.

The operating system for AI-assisted operations.

Operations Pros

The people the whole company leans on. Multi-tool work, SOPs, and the day-to-day orchestration that keeps everything moving.

RevOps Champions

Pipeline hygiene, deal stage updates, CRM data quality, forecasting prep. Stop paying for a tool that requires three people to keep it clean.

Marketing and Growth

Campaign coordination across HubSpot, Slack, Google Workspace. Content briefs that pull from real customer data.

GTM Teams

Sales-to-CS handoffs, customer onboarding, account expansion workflows. Arora carries the context across every step.

Agencies (Coming Soon)

Multi-client, multi-org. Every client gets isolated credentials, encrypted context, and their own audit trail.

Founders

Build your dream team of AI agents that actually know how your business runs.

A real example.

Before Arora

"Summarize this week's client work and update each CRM" means three tabs, four hours, and a Slack message you forgot to send.

With Arora

One conversation. Your AI reads ClickUp, cross-references HubSpot, drafts the summary in Google Docs, and pings the right Slack channel.

"The shift is bigger than speed. A whole layer of work that used to be yours is now handled for you."

Arora keeps each client's data isolated. Your plays make sure the AI follows your naming conventions, asks before sending anything client-facing, and logs every action.

Safety isn't an afterthought. It's the architecture.

Arora governs every connection, credential, and action — so you always know what's running, what's protected, and why.

New to MCP? Start here.

2-minute explainer on what MCP is and why it matters

Model Context Protocol (MCP) is the open standard that lets AI assistants connect to your tools. It was created by Anthropic in November 2024 and adopted by OpenAI, Google, and Microsoft inside 12 months.

The short version: MCP is the rulebook for how AI talks to your software. Arora is the platform that makes it usable for people who don't write code.

Frequently Asked Questions.

Developers shouldn't have all the fun.

Connect your tools, set your rules, and let your AI run the work for you. Arora is currently invite-only. Apply for the founder cohort.