DreamingAI MCP Server

DreamingAI MCP Server

An MCP server that enables AI assistants to manage conversations, agents, prompt templates, and plugins within the DreamingAI enterprise AI ecosystem.

Category
Visit Server

README

<div align="center"> <img src="https://raw.githubusercontent.com/gitcoffee-os/dreamingai/main/assets/logo.svg" alt="DreamingAI Logo" width="120" stroke="white"> <h1>DreamingAI MCP Server</h1> <p><b>Enterprise AI Assistant & Intelligent Collaboration Platform</b></p> <p> <a href="https://www.npmjs.com/package/dreamingai-mcp-server"><img src="https://img.shields.io/npm/v/dreamingai-mcp-server?style=flat-square" alt="npm version"></a> <a href="https://github.com/shivanshu814/dreamingai-mcp-server/blob/main/LICENSE"><img src="https://img.shields.io/npm/l/dreamingai-mcp-server?style=flat-square" alt="license"></a> <img src="https://img.shields.io/badge/MCP-1.0.0-blue?style=flat-square" alt="MCP version"> </p> </div>


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

Variable Description Default
DREAMINGAI_API_KEY Required. Your DreamingAI API key.
DREAMINGAI_BASE_URL The URL of your DreamingAI instance. https://dreamingai.exmay.com
DREAMINGAI_APP_ID Application identifier for the client. dreamingai

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.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured