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AIO-MCP Server

by athapong

AIO-MCP Server is a powerful Model Context Protocol (MCP) server implementation with integrations for GitLab, Jira, Confluence, YouTube, and more. It provides AI-powered search capabilities and various utility tools for development workflows.

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What is AIO-MCP Server?

AIO-MCP Server is a Model Context Protocol server designed to integrate various services like GitLab, Jira, Confluence, and YouTube, providing AI-powered search and utility tools to enhance development workflows.

How to use AIO-MCP Server?

The server can be installed via Smithery or Go. It requires setting up environment variables with API keys and tokens for the services you want to use. After installation, configure your client (e.g., Claude Desktop) to connect to the server.

Key features of AIO-MCP Server

  • Integrations for GitLab, Jira, Confluence, YouTube, and more

  • AI-powered search capabilities

  • Utility tools for development workflows

  • Support for various AI models (Gemini, Deepseek, OpenAI)

  • RAG (Retrieval Augmented Generation) tools for memory indexing and search

  • Command line script execution with security restrictions

Use cases of AIO-MCP Server

  • AI-powered search across multiple platforms (GitLab, Jira, Confluence)

  • Automated task management using Jira and GitLab integrations

  • Content retrieval and analysis from Confluence and YouTube

  • Calendar event management

  • Email filtering and management

  • Reasoning and problem-solving using Deepseek AI capabilities

FAQ from AIO-MCP Server

What is the purpose of the ENABLE_TOOLS environment variable?

The ENABLE_TOOLS variable allows you to specify a comma-separated list of tool groups to enable. If not set or left empty, all tools will be enabled.

How do I configure the server to use OpenAI?

You need to set the OPENAI_API_KEY environment variable with your OpenAI API key and optionally specify the OPENAI_EMBEDDING_MODEL.

How do I integrate the server with Claude Desktop?

You need to configure the mcpServers section in your claude_desktop_config.json file, specifying the command to run the server and the path to your .env file or override environment values directly in the config.

What is RAG and how can I use it?

RAG (Retrieval Augmented Generation) tools allow you to index and search content in memory. You can create collections, index files or content, and then search for relevant information using a query.

How do I enable Deepseek AI tools?

You can enable Deepseek AI tools by adding 'deepseek' to the ENABLE_TOOLS environment variable and setting the DEEPSEEK_API_KEY. You can also use Deepseek with a local Ollama instance by setting USE_OLLAMA_DEEPSEEK to 'true' and configuring the OLLAMA_URL.