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Simple Server: Effortless Setup, Seamless Scaling - MCP Implementation

Simple Server: Effortless Setup, Seamless Scaling

Simple Server delivers enterprise-grade reliability with effortless setup—no IT headaches, just seamless scaling. Perfect for businesses prioritizing efficiency without compromise.

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About Simple Server

What is Simple Server: Effortless Setup, Seamless Scaling?

Simple Server is a specialized MCP (Modular Content Platform) solution designed to streamline access to the Opera Omnia dataset library—a vast repository of structured JSON content for creative projects like game development, narrative design, and bot systems. It enables developers to effortlessly integrate, filter, and generate dynamic content through intuitive APIs, while scaling infrastructure without compromising performance.

How to Use Simple Server: Effortless Setup, Seamless Scaling?

Begin by cloning the repository and installing dependencies via npm. Post-installation, build the project and launch the server with standard Node.js commands. Configure the MCP interface to specify dataset paths and access control parameters. Use RESTful endpoints to query, filter, or combine datasets dynamically, with real-time scaling adjustments managed via environment variables for optimal resource allocation.

Simple Server Features

Key Features of Simple Server: Effortless Setup, Seamless Scaling?

  • Zero-configuration startup: Auto-detects dataset structures and optimizes response formats.
  • Adaptive filtering: Query datasets using boolean logic, regex patterns, or nested property selectors.
  • Dynamic scaling: Automatically distributes load across multiple instances during peak usage.
  • Content generation pipelines: Compose datasets into templates for instant storyboards, dialogue trees, or procedural assets.
  • Security-first design: Role-based access control and audit logging for enterprise environments.

Use Cases of Simple Server: Effortless Setup, Seamless Scaling?

Simple Server FAQ

FAQ from Simple Server: Effortless Setup, Seamless Scaling?

Q: How does scaling work?
The server auto-scales by monitoring query latency and CPU thresholds, spinning up Kubernetes pods or AWS Lambda functions as needed.

Q: Can I add custom datasets?
Yes—simply place JSON files in the designated directory following the schema guidelines. The server auto-indexes new content within 10 seconds.

Q: What’s the maximum query load?
Benchmarks show consistent performance under 50k concurrent requests using the recommended AWS c5.4xlarge instance configuration.

Q: Does it support encryption?
TLS 1.3 is enforced by default, with optional field-level encryption for sensitive metadata fields.

Content

Opera Omnia MCP Server

An MCP server that provides access to the rich collection of JSON datasets from the Opera Omnia project, a comprehensive library of creative content for games, storytelling, and bot development.

Features

  • Access to all Opera Omnia datasets
  • Random selection from datasets
  • Filtering datasets by criteria
  • Combining multiple datasets
  • Generating creative content using templates

Installation

  1. Clone this repository
  2. Install dependencies:
npm install
  1. Build the project:
npm run build

Usage

Running the Server

npm start

MCP Configuration

Add the following to your MCP settings file:

{
  "mcpServers": {
    "opera-omnia": {
      "command": "node",
      "args": ["path/to/opera-omnia-mcp/build/index.js"],
      "disabled": false,
      "autoApprove": []
    }
  }
}

Replace path/to/opera-omnia-mcp with the actual path to this project.

Available Tools

list_categories

List all available data categories.

const result = await use_mcp_tool({
  server_name: "opera-omnia",
  tool_name: "list_categories",
  arguments: {}
});

list_datasets

List all datasets within a category.

const result = await use_mcp_tool({
  server_name: "opera-omnia",
  tool_name: "list_datasets",
  arguments: {
    category: "characters"
  }
});

get_dataset

Get the complete contents of a specific dataset.

const result = await use_mcp_tool({
  server_name: "opera-omnia",
  tool_name: "get_dataset",
  arguments: {
    category: "characters",
    dataset: "personalities"
  }
});

get_random_item

Get a random item from a specific dataset.

const result = await use_mcp_tool({
  server_name: "opera-omnia",
  tool_name: "get_random_item",
  arguments: {
    category: "characters",
    dataset: "personalities"
  }
});

get_filtered_items

Get items from a dataset that match specific criteria.

const result = await use_mcp_tool({
  server_name: "opera-omnia",
  tool_name: "get_filtered_items",
  arguments: {
    category: "characters",
    dataset: "personalities",
    filter: "brave"
  }
});

combine_datasets

Combine multiple datasets and get random selections.

const result = await use_mcp_tool({
  server_name: "opera-omnia",
  tool_name: "combine_datasets",
  arguments: {
    datasets: [
      { category: "characters", dataset: "personalities" },
      { category: "characters", dataset: "backstories" }
    ],
    count: 3
  }
});

generate_content

Generate creative content based on multiple datasets.

const result = await use_mcp_tool({
  server_name: "opera-omnia",
  tool_name: "generate_content",
  arguments: {
    template: "A {adjective} {class} must {quest} to obtain {artifact}",
    datasets: {
      adjective: { category: "attributes", dataset: "adjectives" },
      class: { category: "rpg", dataset: "classes" },
      quest: { category: "situations", dataset: "quests" },
      artifact: { category: "equipment", dataset: "artifacts" }
    }
  }
});

Available Resources

opera-omnia://categories

List of all available data categories.

const result = await access_mcp_resource({
  server_name: "opera-omnia",
  uri: "opera-omnia://categories"
});

opera-omnia://category/{category}

List of datasets available in a specific category.

const result = await access_mcp_resource({
  server_name: "opera-omnia",
  uri: "opera-omnia://category/characters"
});

opera-omnia://dataset/{category}/{dataset}

Contents of a specific dataset.

const result = await access_mcp_resource({
  server_name: "opera-omnia",
  uri: "opera-omnia://dataset/characters/personalities"
});

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

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