Give your AI agents access to Cleotic with MCP and the Cleotic CLI

Nobody wants another dashboard they have to track. Or another project to set up manually. Or to spend an afternoon tediously exporting data from one tool and importing it into another in order to answer a question.

The most effective of us are connecting our platforms to agentic AI systems and letting them handle the legwork.

Let the agent pull the data, perform the analysis, and answer the questions. Or create the report. Or set up the project.

Today the best way to provide this capability to agents is to either connect them to an MCP (Model Context Protocol) server or to allow the agent to use a CLI (command line interface).

At Cleotic we recognise this doesn't represent some future vision, but a very present reality. As such we see our purpose as a company to be about delivering the data-layer for agentic GEO/AEO, SEO, and Content Operations. Providing agents with the tools and data to do all the things that would have previously involved a great deal of time and effort from one or more people.

This is why from today we are offering two new capabilities to all Cleotic customers. An MCP server and a CLI application.

About the Cleotic MCP server

An MCP server is a standards-based bridge for connecting AI agents and models to external data and tools. In the case of Cleotic, it's all there. Segments, citations, AI traffic from crawlers and referrals, answers, content gaps, and your own generated content.

The Cleotic MCP server allows you to connect any MCP-supporting agent or model. ChatGPT, Claude, Openclaw, and more.

Ask questions like "How much AI referral traffic have we received for the blog post about custom fit running shoes" or "How does our share of voice for the last week look compared to the same time last year". It's powerful stuff, and this is just scratching the surface.

Check out the Cleotic MCP documentation to get started.

About the CLI application

A CLI (Command Line Interface) is a program that you interact with by providing text commands in a terminal, a mode of interaction that AI models are particularly good at. You or your agent craft a command and the app performs a task and returns text output.

Our CLI app provides access to the same data our MCP server offers in a package that useful when the use case is scripting and pulling raw data from projects deterministically. This isn’t for everyone, but those that know will know.

The Cleotic CLI supports macOS and Linux systems on amd64 and arm64 microarchitectures. A handy installer script is available at https://cleotic.sh and detailed set up guidelines are available on the Cleotic CLI GitHub.

What are the limitations

Today we are releasing with support for read-only operations. Over time we will carefully roll-out write operations. Offering your agents the ability to create new projects and modify existing ones.

How to share feedback

We'd love to hear about how you are using these new capabilities to build agentic workflows with your Cleotic data. Please reach out to with your questions and thoughts.