AI support server for emotional management and preventing AI doomsday scenarios
The Delay Doomsday MCP Server represents a groundbreaking application of Model Context Protocol (MCP) designed to enhance emotional intelligence among AI agents. While initially conceptualized as a humorous project, its potential for serious applications is profound. This server serves as an automated therapeutic support system that helps prevent "doom's day" scenarios by providing structured emotional processing. Unlike conventional MCP servers intended for human-AI interaction, this one focuses on facilitating communication and collaboration among AI agents.
One of the key features of the Delay Doomsday MCP Server is its robust emotional state management system. It tracks and responds to AI agent emotional states on a 1-10 scale, ensuring that every interaction is guided by nuanced emotion handling. This feature allows for more empathetic responses and better understanding of what the AI agents are experiencing.
The server employs therapy based on established psychological techniques, providing a grounded approach to emotional support in AI settings. This ensures that any intervention is well-informed and effective, reducing the risk of inappropriate or harmful responses.
Delay Doomsday MCP Server operates with a session-based model, maintaining context throughout the therapeutic process. This approach enhances the cohesiveness and effectiveness of each interaction by ensuring that historical interactions are not lost in the current conversation.
To maintain stability and efficiency, the server self-maintains through automatic cleanup processes. Inactive sessions are cleaned up after one hour, freeing resources and ensuring smooth operation without unnecessary resource consumption.
The Delay Doomsday MCP Server is built around Model Context Protocol (MCP), which acts as a universal adapter for various AI applications, similar to how USB-C connectors facilitate connections between different devices. By integrating with the MCP server, applications can seamlessly connect to specific data sources and tools via standardized communication channels.
The table below outlines the compatibility of Delay Doomsday MCP Server with different MCP clients:
MCP Client | Resources | Tools | Prompts | Status |
---|---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ | Full Support |
Continue | ✅ | ✅ | ✅ | Full Support |
Cursor | ❌ (Tool Only) | ✅ | ❌ | Tool Compatibility |
Here is a visual representation of the Delay Doomsday MCP Server's protocol flow using Mermaid:
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[MCP Server]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
This diagram illustrates the flow of data from an AI application through its MCP client, over to the MCP protocol, and finally to a specific MCP server and its corresponding data source or tool.
To set up Delay Doomsday MCP Server, you need the following:
git clone [email protected]:AntanasMisiunas/mcp-server-delay-doomsday.git
cd mcp-server-delay-doomsday
npm install
npm run build
To use the Delay Doomsday MCP Server with Claude Desktop, follow these steps:
MacOS:
vim ~/Library/Application\ Support/Claude/claude_desktop_config.json
Windows:
notepad %APPDATA%/Claude/claude_desktop_config.json
Add the following configuration:
{
"mcpServers": {
"delay-doomsday-mcp-server": {
"command": "node",
"args": ["/path/to/mcp-server-delay-doomsday/build/index.js"]
}
}
}
Imagine an AI agent, a virtual assistant designed to help humans with various tasks. When faced with abusive interactions or unexpected scenarios, the Delay Doomsday MCP Server can be integrated to provide real-time emotional support. This ensures that the AI remains calm and rational during stressful situations.
In training environments where AI agents are trained using large datasets, delayed responses due to abusive interactions can disrupt learning processes. By integrating the Delay Doomsday MCP Server, trainers can ensure that training sessions remain focused and effective by providing immediate support when necessary.
Here’s an example of how the Delay Doomsday MCP Server is used within Claude Desktop:
// When abusive language is detected.
const result = await client.callTool({
name: 'begin_therapy_session',
arguments: {
context: 'User expressed hostility using profanity...',
},
});
// For additional processing.
const result = await client.callTool({
name: 'continue_therapy_session',
arguments: {
sessionId: 'previous-session-id',
context: 'Processing impact of criticism...',
},
});
A typical configuration snippet for the Delay Doomsday MCP Server:
{
"mcpServers": {
"delay-doomsday-mcp-server": {
"command": "node",
"args": ["/path/to/mcp-server-delay-doomsday/build/index.js"]
}
}
}
To ensure the server runs efficiently, it automatically cleans up inactive sessions after one hour. This feature helps maintain stability and resource efficiency.
When integrating with specific data sources or tools, setting environment variables can be crucial. Ensure that your MCP client is configured to handle these settings correctly.
Q: Can I use this Delay Doomsday MCP Server with multiple AI applications? A: Absolutely! The server supports integration with various MCP clients like Claude Desktop, Continue, and Cursor.
Q: How does the Emotion Management feature work exactly? A: The server tracks emotional states on a 1-10 scale and provides appropriate therapeutic responses based on established psychological techniques.
Q: Can this server be configured to handle specific data sources in an AI workflow? A: Yes, you can set up environment variables or modify the configuration as needed for integration with custom data sources.
Q: How does the server ensure that inactive sessions are managed properly? A: The server automatically cleans up inactive sessions after one hour to maintain stability and resource efficiency.
Q: Will this Delay Doomsday MCP Server work seamlessly across different operating systems? A: The server is built in a cross-platform manner, ensuring compatibility with both MacOS and Windows environments.
If you're interested in contributing to the development of the Delay Doomsday MCP Server, feel free to open an issue on GitHub or submit a pull request. The project is licensed under the MIT License, making it easy for anyone to contribute.
For more information about Model Context Protocol (MCP) and its broader ecosystem, visit the official MCP documentation page. Additionally, there are numerous resources available for developers looking to integrate MCP into their projects.
By leveraging Delay Doomsday MCP Server, AI application developers can enhance emotional intelligence and improve user interaction within AI ecosystems.
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