# Runneth vs Claude Projects > Runneth's pricing page compares itself with Claude Projects. The real differences for an ad team: memory, always-on work, Slack and live ad data. - **Author**: Marxx - **Published**: 2026-11-07 - **Category**: Tools - **URL**: https://marxx.ai/library-compare/runneth-vs-claude-projects --- Runneth is an always-on AI teammate with its own computer, a shared memory and live connections to your Meta and TikTok ad accounts, working inside Slack. A Claude project is a chat workspace you feed by hand, and a third route, connecting a chat app to your ad data through an MCP server, sits between them. ## Why this comparison exists Runneth's own pricing page puts itself next to "Claude Projects" and a "Mac Mini", and scores them on three things: easy to use, flexible and robust, and multiplayer AI. It is a fair question for a buyer. If a chat subscription already answers your ad questions, why pay from $999 a month (checked 6 Nov 2026) for Runneth Starter? The answer depends on four things: memory, who starts the work, where the team talks, and how the data gets in. ## Side by side | | Runneth | A chat project | A chat app with an MCP server | |---|---|---|---| | Memory | A persistent, shared brain of your team's marketing context | What you upload and write into the project | What the chat keeps, plus live reads through the server | | Who starts the work | Runneth can work 24/7 and post scheduled updates | You, each time you open a chat | You, each time you ask | | Where the team talks | Slack channels, many people in one thread | Inside the chat app | Inside the chat app | | Ad data | Connected to Meta and TikTok, plus tools like Shopify and Klaviyo | Exports you upload | Live, through the connector you add | | Changing ads | Read-only until an admin turns on launching | Not connected to your ads | Depends on the server | ## The real differences ### 1. Feeding it by hand In a chat project, you are the pipeline. Say Priya Shah wants last week's Meta results every Monday. She exports a report, uploads it, then asks her questions. The project knows what she gave it and nothing newer. Runneth connects to the ad accounts and keeps working on its own cloud computer. On Pro, routines such as weekly reports and Slack alerts arrive without anyone asking. ### 2. One person or the whole team A chat project is mostly one person's window. Runneth sits in Slack, so Karan Mehta can tag @Runneth in the same thread Priya started, and both see the answer. That is what Runneth means by multiplayer AI. ### 3. The MCP route An [MCP server](/glossary/mcp-server) is a plug that lets a chat app read, and sometimes act on, another tool's data. With one, you skip the exports. The chat app pulls live numbers when you ask. You still start each conversation, and the memory stays in your chat app. Runneth Starter itself includes "full data and MCP access". Learn more in [what is MCP](/glossary/mcp) and [how to connect Google Ads to Claude](/guides/how-to-connect-google-ads-to-claude). We make Marxx. It has a hosted [MCP server](/mcp) for Claude and ChatGPT, and in Slack, @Marxx answers in each client's own channel. See [Runneth vs Marxx](/compare/runneth-vs-marxx). ## Which route fits 1. **One person, a few questions a week, small budget:** a chat project with exports. 2. **One person who wants live numbers:** a chat app with an MCP server. 3. **A team that wants an analyst always on, in Slack, for Meta and TikTok:** Runneth. Read [Runneth pricing](/prices/runneth-pricing) first. ## FAQ ### Can a Claude project read my Meta ads by itself? Not by itself. A project works from what you add to it. To read live ad data, a chat app needs a connector such as an MCP server. ### Why does Runneth compare itself with a Mac Mini? Its pricing page sets Runneth beside running your own machine. Each Runneth team gets a dedicated, always-on cloud computer, so you do not have to keep one running yourself. ### What does Runneth cost? Runneth Starter starts at $999 a month for brands spending up to $50k a month on ads (checked 6 Nov 2026). That covers always-on work, shared memory, unlimited seats and Slack. --- - [More Tools articles](https://marxx.ai/library-compare/category/tools) - [All articles](https://marxx.ai/library-compare)