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
- Clone this repository
- Install dependencies:
- Build the project:
Usage
Running the Server
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.
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"
});
Future Enhancements
We have several ideas for future enhancements to the Opera Omnia MCP server:
- Advanced Content Generation: Add more sophisticated content generation capabilities beyond simple template substitution.
- Improved Caching: Implement better caching mechanisms for improved performance, especially for frequently accessed datasets.
- User-Contributed Datasets: Add support for user-contributed datasets, allowing users to extend the available content.
- Visualization Tools: Create visualization tools for exploring the data and understanding relationships between different datasets.
- Local Data Files: Add support for local data files as an alternative to fetching from GitHub.
- Integration Examples: Provide more examples of integrating the MCP server with different applications and frameworks.
Release Notes
For detailed information about the current and past releases, see the RELEASE_NOTES.md file.
License
This project is licensed under the MIT License - see the LICENSE.md file for details.