What AI models are supported?

AIO supports various AI models including Gemini, Deepseek, and OpenAI, giving you flexibility in choosing the best model for your needs.

What is RAG (Retrieval-Augmented Generation) and how does AIO use it?

RAG is a technique that combines information retrieval with text generation. AIO uses RAG to provide more comprehensive and context-aware search results and answer generation within your connected services.

What integrations does AIO support?

AIO integrates with GitLab, Jira, Confluence, and YouTube to centralize information access and streamline tasks within those platforms.

AIO is a developer tool that uses AI to enhance workflows. It provides AI-powered search and RAG capabilities, and integrates with services like GitLab, Jira, Confluence, and YouTube.

How do I install AIO?

AIO can be installed via Smithery or Go. The installation process involves setting up environment variables and configuring your Claude desktop environment.

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AIO

Name: AIO
Author: athapong

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Enhances development workflows with AI-powered search, RAG capabilities, and integrations for GitLab, Jira, Confluence, and YouTube.

About

AIO enhances development workflows by offering an all-in-one Model Context Protocol (MCP) server. This server boasts AI-powered search capabilities and integrates seamlessly with various services like GitLab, Jira, Confluence, and YouTube. It provides a suite of tools to improve efficiency and unlock new possibilities for AI-enhanced development.

Key Features

Configurable tool enablement via environment variables
6 GitHub stars
AI-powered search across multiple services
RAG (Retrieval-Augmented Generation) integration
Integration with GitLab, Jira, Confluence, and YouTube
Support for various AI models including Gemini, Deepseek and OpenAI

Use Cases

Real-time information retrieval and knowledge sharing
AI-assisted code review and documentation
Automated task management and issue resolution