Mongo Boilerplate

Provides a scaffolded MCP server with example tools and multi-client installation workflows for easy integration with MCP-compatible AI assistants.

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7 months ago

First Indexed

3 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "ricleedo-mongo-boilerplate-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@r-mcp/boilerplate@latest"
      ],
      "env": {
        "API_KEY": "YOUR_API_KEY",
        "DATABASE_URL": "YOUR_DATABASE_URL"
      }
    }
  }
}

You build MCP servers to expose programmable tools, resources, and prompts that AI assistants can call to perform actions, access data, and generate dynamic content. This server family provides a clean foundation with example tools and an automated workflow to install, develop, and publish your MCP-enabled services. You can run it locally for development or publish to npm for easy client integration across Claude Desktop, Cursor, Claude Code, Gemini, and other MCP-enabled assistants.

How to use

You connect to your MCP server from compatible AI assistants and automation tools. The server exposes tools, resources, and prompts that the AI can invoke or fetch, enabling dynamic interactions such as greeting users, returning documentation snippets, or accessing external APIs. Use the installation scripts to configure clients for production use or development.json, then restart your MCP client to load changes.

How to install

Prerequisites: you need Node.js and a package manager. Ensure you have a recent Node.js version installed on your system.

Option A: Install and run directly (recommended for quick use) use this command to start the MCP server via the published package.

Additional sections

Development workflow guidance, environment configuration, and publishing steps are provided to help you customize and maintain your MCP server. The server includes example tools such as a simple greeting tool and a documentation fetcher to illustrate how to add your own tools, resources, and prompts. You can configure environment variables in a local .env.local file, build the project, and publish updates to npm so clients automatically update to the latest version.

Environment and contribution notes

Create a .env.local file to define environment-specific configuration. The following variables are commonly used as examples: API_KEY and DATABASE_URL. These values are included in MCP server configurations during installation.