> ## Documentation Index
> Fetch the complete documentation index at: https://docs.generect.com/llms.txt
> Use this file to discover all available pages before exploring further.

# What is MCP?

> About MCP in context of Generect

**MCP** (Model Context Protocol) is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations.
This list focuses on production-ready and experimental MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

<img src="https://mintcdn.com/generect/9e6ewBZcnqnRB2k9/media/mcp-example.png?fit=max&auto=format&n=9e6ewBZcnqnRB2k9&q=85&s=a594ff77e67753505d2b7eb6e571f8e1" alt="mcp-example" className="rounded-lg" width="960" height="540" data-path="media/mcp-example.png" />

<sup>You can read more about it in [this](https://glama.ai/blog/2024-11-25-model-context-protocol-quickstart) article</sup>

***

In the context of **Generect**, MCP enables you to chat with an LLM, and it can **query and search information from the Generect API** and process the data for you.\
You don't need to specify parameters for searches manually — **the LLM will determine them automatically**.

Instead of searching leads yourself, you can simply ask:

`Find 5 chief leads from Google and compare them with 5 chief leads from Microsoft.`

The LLM will use MCP, fetch all data and write a summary.

<img src="https://mintcdn.com/generect/9e6ewBZcnqnRB2k9/media/response-example-2.png?fit=max&auto=format&n=9e6ewBZcnqnRB2k9&q=85&s=86e87e7003af24928edf0a79c68e27fd" alt="response-example" className="rounded-lg" width="1560" height="1634" data-path="media/response-example-2.png" />