All-in-One MCP

v1.0.0Business Applicationsstable

🚀 All-in-one MCP server with AI search, RAG, and multi-service integrations (GitLab/Jira/Confluence/YouTube) for AI-enhanced development workflows

deepseekmcpmodel-context-protocol
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What is All-in-One MCP?

All-in-One MCP is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 🚀 all-in-one mcp server with ai search, rag, and multi-service integrations (gitlab/jira/confluence/youtube) for ai-enhanced development workflows

🚀 All-in-one MCP server with AI search, RAG, and multi-service integrations (GitLab/Jira/Confluence/YouTube) for AI-enhanced development workflows

This server falls under the Business Applications category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • 🚀 All-in-one MCP server with AI search, RAG, and multi-servi

Use Cases

Search and retrieve content with RAG across multiple services. Integrate GitLab, Jira, Confluence, and YouTube for unified development workflows.
nguyenvanduocit

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedMay 6, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx all-in-one-model-context-protocol

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use All-in-One MCP

All-in-One MCP is a Go-based MCP server that consolidates AI-powered search, vector RAG, and multiple developer service integrations — GitLab, Jira, Confluence, YouTube, Gmail, Google Calendar, and Brave web search — into a single server binary, eliminating the need to run and configure separate MCP servers for each platform. It uses Qdrant as a vector store for semantic document retrieval and supports Deepseek and Google AI for enhanced reasoning, making it suitable for engineering teams that want a unified AI-accessible hub across their entire workflow. The server is configurable at the tool-group level so teams can enable only the integrations they need.

Prerequisites

  • Go 1.21+ (for binary install) or the Smithery CLI (for zero-config install)
  • API credentials for each service you want to enable (Atlassian token, GitLab PAT, Brave API key, etc.)
  • Qdrant running locally or hosted (only needed for RAG/knowledge base features)
  • An MCP-compatible client such as Claude Desktop or Claude Code
  • Google credentials JSON file if using Gmail, Calendar, or Google Chat
1

Install via Smithery

The Smithery CLI installs the binary and registers it with your MCP client in one step.

npx -y @smithery/cli install @nguyenvanduocit/all-in-one-model-context-protocol --client claude
2

Or install via Go

Install the Go binary directly if you prefer manual control.

go install github.com/nguyenvanduocit/all-in-one-model-context-protocol@latest
3

Set service credentials

Export environment variables for the tool groups you want to enable. Unused service vars can be omitted.

export ATLASSIAN_HOST=https://yourcompany.atlassian.net
export [email protected]
export ATLASSIAN_TOKEN=your_atlassian_api_token
export GITLAB_HOST=https://gitlab.com
export GITLAB_TOKEN=your_gitlab_personal_access_token
export BRAVE_API_KEY=your_brave_search_key
export GOOGLE_AI_API_KEY=your_gemini_api_key
export DEEPSEEK_API_KEY=your_deepseek_api_key
export QDRANT_HOST=localhost
export QDRANT_PORT=6333
4

Restrict enabled tools (optional)

Set ENABLE_TOOLS to a comma-separated list of tool groups to avoid loading unused integrations.

export ENABLE_TOOLS=jira,confluence,gitlab,brave_search,rag
5

Add to Claude Desktop config

Register the server binary in claude_desktop_config.json with all needed environment variables.

{
  "mcpServers": {
    "all-in-one-mcp": {
      "command": "all-in-one-model-context-protocol",
      "args": [],
      "env": {
        "ATLASSIAN_HOST": "https://yourcompany.atlassian.net",
        "ATLASSIAN_EMAIL": "[email protected]",
        "ATLASSIAN_TOKEN": "your_atlassian_api_token",
        "GITLAB_TOKEN": "your_gitlab_pat",
        "BRAVE_API_KEY": "your_brave_key",
        "GOOGLE_AI_API_KEY": "your_gemini_key",
        "QDRANT_HOST": "localhost",
        "QDRANT_PORT": "6333"
      }
    }
  }
}

All-in-One MCP Examples

Client configuration

claude_desktop_config.json entry for All-in-One MCP with GitLab, Atlassian, and Brave search enabled.

{
  "mcpServers": {
    "all-in-one-mcp": {
      "command": "all-in-one-model-context-protocol",
      "args": [],
      "env": {
        "ATLASSIAN_HOST": "https://yourcompany.atlassian.net",
        "ATLASSIAN_EMAIL": "[email protected]",
        "ATLASSIAN_TOKEN": "your_atlassian_api_token",
        "GITLAB_HOST": "https://gitlab.com",
        "GITLAB_TOKEN": "your_gitlab_personal_access_token",
        "BRAVE_API_KEY": "your_brave_search_key",
        "ENABLE_TOOLS": "jira,confluence,gitlab,brave_search"
      }
    }
  }
}

Prompts to try

Example prompts that use the multi-service capabilities of All-in-One MCP.

- "Search Jira for issues in project BACKEND with status 'Open' using JQL: project = BACKEND AND status = Open"
- "Get the content of the GitLab file src/main.go from the repo my-service on the main branch."
- "Index this document into the 'engineering-docs' Qdrant collection for future RAG searches."
- "Search for recent web articles about Kubernetes 1.30 using Brave search."
- "List my Google Calendar events for this week and find any conflicts."

Troubleshooting All-in-One MCP

Server starts but tool calls fail for a specific service

Check that the relevant environment variables for that service are set correctly. Run the binary manually in a terminal with the env vars exported to see error output that is hidden when launched by the MCP client.

Qdrant connection refused

Start Qdrant with `docker run -p 6333:6333 qdrant/qdrant` and verify QDRANT_HOST and QDRANT_PORT match. If using Qdrant Cloud, also set QDRANT_API_KEY.

GitLab API returns 403 Forbidden

Ensure your GitLab personal access token has the 'read_api' or 'api' scope. For self-hosted GitLab, confirm GITLAB_HOST is set to your instance URL, not gitlab.com.

Frequently Asked Questions about All-in-One MCP

What is All-in-One MCP?

All-in-One MCP is a Model Context Protocol (MCP) server that 🚀 all-in-one mcp server with ai search, rag, and multi-service integrations (gitlab/jira/confluence/youtube) for ai-enhanced development workflows It connects AI assistants to external tools and data sources through a standardized interface.

How do I install All-in-One MCP?

Follow the installation instructions on the All-in-One MCP GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with All-in-One MCP?

All-in-One MCP works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is All-in-One MCP free to use?

Yes, All-in-One MCP is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

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Quick Config Preview

{ "mcpServers": { "all-in-one-model-context-protocol": { "command": "npx", "args": ["-y", "all-in-one-model-context-protocol"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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