All-in-one Model Context Protocol (MCP) server written in Go that bundles AI search, RAG memory and tooling for GitLab, Jira, Confluence, Google, YouTube, DeepSeek and more.
https://github.com/nguyenvanduocit/all-in-one-model-context-protocolYou're already juggling enough tools. Why add complexity to your AI workflow with a dozen different MCP servers when you can get comprehensive integration from a single, battle-tested solution?
This all-in-one MCP server transforms your AI assistant into a workflow powerhouse that seamlessly connects your development ecosystem – from GitLab merge requests to Jira tickets, Google Calendar to Confluence docs, all while maintaining intelligent memory through RAG capabilities.
Most developers end up with this mess:
Each with its own configuration, dependencies, and quirks. Your AI assistant becomes fragmented, unable to connect insights across your tools.
Single Binary, Complete Integration: One Go binary that handles 40+ tools across your entire development stack. Install once, configure once, use everywhere.
Intelligent Tool Coordination: Your AI can now:
Real-World Workflow Examples:
# Morning standup prep
"Check my calendar for today, search for any related Jira tickets,
and pull relevant GitLab MR discussions from memory"
# Code review workflow
"Get the GitLab MR details for project/repo!123, search Confluence
for related architecture docs, and create summary for the team"
# Documentation sync
"Find all YouTube videos about our API, update their descriptions
based on the latest Confluence documentation changes"
Cross-Service Intelligence: Unlike isolated MCP servers, this one maintains context across all your tools. Your AI remembers that GitLab commit from last week when discussing today's Jira ticket.
Unified Memory: The built-in RAG system indexes content from all sources into searchable collections. No more "where did I see that?" moments.
Selective Tool Loading: Use ENABLE_TOOLS to load only what you need:
ENABLE_TOOLS=gitlab,jira,rag,deepseek # Just the essentials
Advanced Reasoning: The DeepSeek integration provides multi-step reasoning that can analyze problems across your entire toolchain, not just individual services.
Get running in under 5 minutes with Smithery:
npx -y @smithery/cli install @nguyenvanduocit/all-in-one-model-context-protocol --client claude
Or install directly with Go and configure manually if you prefer control over the setup.
The server handles authentication for all services – just add your tokens to the environment configuration and you're connected to your entire development ecosystem.
Instead of context-switching between tools and losing the thread of complex problems, your AI assistant becomes a unified interface to your entire workflow. It can:
This isn't just another MCP server – it's the productivity upgrade your development workflow has been missing. Your AI assistant finally gets the complete picture of your work, enabling insights and automation that individual tools simply can't provide.
Ready to consolidate your MCP server chaos into intelligent, unified workflow enhancement? The all-in-one approach is waiting.