Which integrations are available for this server?

Provides tools for mounting local SQLite databases, auto-exposing their schemas, and safely executing read-only SELECT queries to retrieve data for AI consumption.

How do I use Omni-MCP?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Omni-MCP mount the folder ./docs and summarize the markdown files" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

⚡ Omni-MCP

🔌 The Universal MCP Resource Server

Mount any folder, URL, or database. Feed any AI. Zero code required.

Node.js License: MIT

🚀 Highlights

📂 Folder Mounting — Mount any directory with one command; .txt / .md files become instantly readable
🌐 Web Scraping — Provide a URL, auto-convert to Markdown, cached and persisted
🗄️ SQLite Adapter — Mount a database, auto-expose its schema, safely run SELECT queries
📟 TUI Dashboard — Ink-powered terminal UI with real-time status, mounts, and AI activity
💾 Persistent Config — Mount once, automatically restored on restart

🛠️ Quick Start

1. Install

git clone https://github.com/DEM-YU/omni-mcp.git
cd omni-mcp
npm install

2. Connect to Your AI Client

{
  "mcpServers": {
    "omni-mcp": {
      "command": "npx",
      "args": ["tsx", "/path/to/omni-mcp/src/index.ts"],
      "cwd": "/path/to/omni-mcp"
    }
  }
}

{
  "mcpServers": {
    "omni-mcp": {
      "command": "npx",
      "args": ["tsx", "/path/to/omni-mcp/src/index.ts"],
      "cwd": "/path/to/omni-mcp"
    }
  }
}

3. Start Talking

Once connected, just tell your AI:

"Mount the folder /Users/me/research as a knowledge base"
"Scrape this page: https://example.com"
"Mount the database /path/to/data.db and query all users"

📂 Supported Sources

Local Folders

Tool	Description
`mount_folder`	Mount a local folder, exposing `.txt` / `.md` files
`add_new_source`	Alias for `mount_folder`
`unmount_folder`	Unmount a previously mounted folder

Web Pages

Tool	Description
`mount_url`	Fetch a web page, convert to Markdown, cache and expose as a resource

SQLite Databases

Tool	Description
`mount_sqlite`	Mount a SQLite database (read-only), auto-expose schema
`query_sqlite`	Safely execute SELECT queries, returns JSON (max 100 rows)

General

Tool	Description
`list_mounts`	List all mounted folders, web pages, and databases

📟 TUI Dashboard

A live terminal dashboard renders on stderr at startup:

Status Indicator — Server online / starting
📂 Folders — Mounted folder tree
🌐 Web Pages — Mounted URL list
🗄️ Databases — Connected database list
⚡ Live Activity — Flashes in real-time when AI reads a resource

💡 TUI renders to stderr; MCP JSON-RPC flows through stdout/stdin — zero interference.

📁 Project Structure

omni-mcp/
├── src/
│   ├── index.ts          # MCP Server + all tool handlers
│   ├── events.ts         # Event bus (Server ↔ Dashboard)
│   └── dashboard.tsx     # Ink TUI dashboard
├── test-resources/       # Sample files for testing
├── config.json           # Auto-generated persistence (gitignored)
├── package.json
├── tsconfig.json
└── README.md

📄 License

MIT © Brooks

Built with 🧡 for the AI-native developer workflow.

If Omni-MCP saved you from copy-pasting, give it a ⭐

Install Server

A

security – no known vulnerabilities

F

license - not found

A

quality - confirmed to work

How are these scores calculated?

Resources

GitHub Repository

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