This is because, until recently, AIs relied exclusively on information written in a prompt, but now they are beginning to access data directly from the tools used by companies.<\/p>\n
Moreover, this change is happening because artificial intelligence is entering a new phase.<\/p>\n
After revolutionizing content creation, research, and productivity, it now helps work with real context.<\/p>\n
And it is precisely in this scenario that the MCP Model Context Protocol stands out as it allows Claude to connect to different data sources and work tools.<\/p>\n
That’s why we’ve prepared this article to explain in detail what the MCP is<\/strong> why it is gaining ground in the market and how connecting Claude to Reportei facilitates efficient analysis of marketing metrics.<\/strong> Follow along.<\/p>\n Connect now<\/strong> to use Reportei’s MCP in Claude, just add a custom connector with the URL httpsappreporteicommcp<\/strong><\/a> and authorize with your Reportei account, the same applies to ChatGPT and other AI clients. See the complete step-by-step in the official documentation of Reportei’s MCP.<\/a><\/p>\n But before understanding exactly what the MCP is<\/a> it is worth looking at a problem that practically every marketing team faces today.<\/p>\n Today, the data needed to make decisions are distributed across different platforms used by marketing and sales teams, such as paid media channels, social networks, CRM, and spreadsheets or dashboards.<\/p>\n Thus, when a more strategic question arises, such as discovering which campaigns generated the most opportunities, it is usually necessary to gather information from various systems before arriving at an answer.<\/p>\n And it was precisely to reduce this gap between data and artificial intelligence<\/a> that the Model Context Protocol emerged.<\/p>\n In simple terms, the MCP is a protocol that allows AI tools to connect to external systems in a standardized way.<\/strong><\/p>\n Thus, instead of relying solely on information manually entered by the user, the AI starts to consult data directly on authorized platforms.<\/strong><\/p>\n It’s no wonder this approach solves one of the main challenges of generative AIs: the limitation of context.<\/p>\n When you talk to an AI without any integration, it can only analyze what was shared during the conversation.<\/p>\n But when there is a connection via MCP, it starts working with information much closer to the operation’s reality.<\/p>\n For this reason, the protocol has gained prominence, especially within Claude’s ecosystem.<\/p>\n After all, the proposal is precisely to allow the tool to stop being just a conversational assistant and start acting as a smart layer over the data that are already part of the team’s work.<\/strong><\/p>\n During the early years of generative AI, copying and pasting information into the prompt was a very efficient solution. And in many cases, it still works.<\/p>\n However, as marketing operations became more complex, this model started to present some limitations for professionals in the field.<\/p>\n Among the main challenges are:<\/p>\n That is why the quality of AI-generated responses is directly linked to the quality of the available information.<\/p>\n After all, the more context the tool has, the greater the chances of producing truly useful insights.<\/p>\n After understanding how the MCP works, it’s time to make the connection with Reportei.<\/p>\n The good news is that the whole process is quite simple and takes just a few minutes.<\/p>\nExecutive Summary<\/h3>\n
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What is MCP and what problem does it solve?<\/h2>\n
![\"O](\"https:\/\/reportei.com\/wp-content\/uploads\/2026\/06\/O-que-e-Claude-MCP-1.jpg\")
Why copying and pasting data into the prompt is no longer sufficient<\/h3>\n
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How to connect Claude MCP to Reportei<\/h2>\n