Here’s the translation into American English:
Organizations are increasingly interested in solutions that promote secure collaboration between individuals and artificial intelligence (AI) agents through a single interface. This capability would facilitate access to data and the execution of actions across various business applications, thereby enhancing productivity. In this context, the Model Context Protocol (MCP) emerges as a fundamental tool, offering a secure and standardized mechanism for connectivity, eliminating the need for complex custom integrations.
The focus on MCP integration actions within Amazon Quick Suite is becoming crucial. This platform connects with MCP servers for applications like Asana, Jira, Confluence, and Box, facilitating the creation of secure integrations. Additionally, it supports events sent by the server and various authentication options such as OAuth.
A recent tutorial details the process for establishing an Amazon Quick Suite actions integration with Atlassian’s MCP server. This tutorial covers everything from logging in to configuring credentials and approving permissions, opening new avenues for collaboration and ensuring that only authorized users have access to information.
The proposal integrates the use of Amazon Bedrock AgentCore Gateway, which acts as a centralized tools server. This allows agents to discover and access tools with native MCP support, providing a smoother and more accessible experience for both users and AI agents, particularly in technical support or human resources solutions.
An example illustrates a team manager using this integration to manage the onboarding of a new team member, from searching for checklists to creating tasks in Jira and drafting welcome emails, all facilitated through interactions with AI agents.
In summary, MCP and its integrations pave the way for more efficient and secure collaboration in the business realm, highlighting the importance of connectivity and security in an increasingly digitalized environment.
Referrer: MiMub in Spanish