AI Startup Olgoise Launches MCP-Based Agent Builder on Ally Platform

Source: All Guys

Artificial intelligence (AI) solution startup Olgoise announced on the 21st the launch of its 'Agent Builder' function, built on Model Context Protocol (MCP), integrated into its platform 'Ally'. This innovation allows companies to safely develop and deploy AI agents in controlled environments.

Key Features of the Agent Builder

• MCP Technology: Developed by global company Antropics, MCP acts as a 'USB' to connect AI models with external applications, tools, and data. It has become essential for implementing AI agents by enabling models to call and utilize diverse functions.
• Security Focus: Olgoise emphasized that the Agent Builder operates in a fully controlled environment to meet stringent security and operational requirements. This ensures stability and safeguards corporate systems from potential risks associated with external MCP components.
• Flexible Deployment: The solution supports both Software as a Service (SaaS) and on-premises environments, catering to diverse business needs. Companies can install the platform directly on their servers for added control.

Practical Applications

• Slack Integration: Businesses can select their preferred LLM model on the Ally platform and link it to collaboration tools like Slack, creating AI agents capable of fetching and processing Slack data.
• Search Agents: The platform enables the development of agents that connect external services (e.g., Notion, Google Drive) to in-house document search systems, consolidating scattered information into a unified search experience.

Industry Impact

CEO Lee Chang-soo highlighted the growing industry focus on MCP, noting that while many companies are building MCP-based agents, few meet the full spectrum of security demands. "Our technology delivers a complete AI agent solution that aligns with corporate security and operational standards," he stated.

This release positions Olgoise as a key player in the evolving AI agent landscape, addressing critical gaps in security and functionality for enterprise applications.