DreamingAI MCP Server

Enterprise AI Assistant & Intelligent Collaboration Platform

This is a Model Context Protocol (MCP) server that provides tools for interacting with the DreamingAI platform. It allows AI clients (like Claude or Cursor) to manage conversations, intelligent agents, prompt templates, and plugins within your enterprise AI ecosystem.

Features

• Conversation Management: Full control over chat sessions and message history.
• Agent Lifecycle: Create and manage AI agents with custom roles and behaviors.
• Prompt Engineering: CRUD support for prompt templates with variable support.
• Multi-Model Orchestration: List, inspect, and switch between AI models.
• Extensible Plugins: Management of marketplace plugins for enhanced capabilities.

How to Use

You can easily add this MCP server to your favorite AI client. You will need your DreamingAI API Key and your Base URL (usually https://dreamingai.exmay.com).

1. In Claude Desktop

If you use Claude Desktop, follow these steps:

1. Open your Claude Desktop configuration file:
   • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
   • Windows: %APPDATA%\Claude\claude_desktop_config.json
2. Add the following to the mcpServers section:

{
  "mcpServers": {
    "dreamingai": {
      "command": "npx",
      "args": ["-y", "@shivanshu814/dreamingai-mcp-server"],
      "env": {
        "DREAMINGAI_API_KEY": "YOUR_ACTUAL_API_KEY_HERE",
        "DREAMINGAI_BASE_URL": "https://dreamingai.exmay.com"
      }
    }
  }
}

2. In Cursor

If you use Cursor:

1. Open Cursor Settings -> Models -> MCP.
2. Click + Add New MCP Server.
3. Name: DreamingAI
4. Type: command
5. Command: npx -y dreamingai-mcp-server
6. Click Add.

Note: You must have Node.js installed on your computer.

Configuration Details

Available Tools

Dialogue (chat)

• list_conversations: Retrieve all active chat sessions.
• create_conversation: Start a new session.
• send_message: Interact with the AI.
• get_conversation_history: Fetch past messages.
• delete_conversation: Delete session data.

Agents (agents)

• list_agents: Search configured AI agents.
• get_agent: View agent details.
• create_agent: Define new agent personas.
• update_agent / delete_agent: Manage existing agents.

Templates (prompts)

• list_prompts / get_prompt: Access the prompt library.
• create_prompt: Save new templates with variables.
• update_prompt / delete_prompt: Maintain prompt library.

Models & Plugins

• list_models / switch_model: Manage model switching.
• list_plugins / install_plugin: Manage plugin lifecycle.
• activate_plugin / deactivate_plugin: Control plugin availability.

Local Development

1. Clone the repository: git clone https://github.com/shivanshu814/dreamingai-mcp-server.git
2. Navigate to the project directory: cd dreamingai-mcp-server
3. Install dependencies: npm install
4. Build the server: npm run build
5. Run locally: node dist/index.js

License

Apache-2.0 © GitCoffee Team.