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Ultra MCP
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Ultra MCP

Ultra MCP is a multi-model AI protocol server that integrates AI models such as OpenAI and Gemini through a unified MCP interface, providing support for Claude Code and Cursor. It features zero-configuration installation, a built-in usage analysis dashboard, and a modern web interface.
Developer toolsArtificial intelligence chatbots#AI Integration#Protocol Service#Development Tool#Data Analysis.TypeScript
2.5 points
6.9K
Open Site

Overview

Installation

Tools List

Content Details

Alternatives

What is Ultra MCP?

Ultra MCP is a Model Context Protocol (MCP) server that exposes mainstream AI models such as OpenAI, Google Gemini, and Azure AI through a unified MCP interface. This allows developers to interact with multiple AI models using tools such as Claude Code and Cursor.

How to Use Ultra MCP?

Simply run a simple command to install and configure Ultra MCP. You can manage API keys, view usage statistics, and interact directly with AI models through the command line or web interface.

Use Cases

Ultra MCP is suitable for developers who need to use multiple AI models simultaneously, such as in code generation, problem-solving, and research tasks. It is particularly suitable for developers who want to improve work efficiency and simplify the AI integration process.

Main Features

Multi-Model Support
Supports multiple AI models such as OpenAI, Google Gemini, and Azure AI, providing a unified MCP interface.
MCP Protocol
Follows the Model Context Protocol standard to ensure compatibility with tools such as Claude Code and Cursor.
Real-Time Streaming Response
Supports real-time streaming, allowing users to see the output results of AI models immediately.
Built-In Usage Analysis
Automatically tracks the number of tokens and costs of each AI request to help users understand their AI usage.
Modern Web Dashboard
Provides a beautiful React dashboard for viewing usage statistics, managing configurations, and monitoring AI costs.
Advantages
Quickly start without cloning. Just run npx ultra-mcp to begin.
Provides interactive configuration to make setting API keys easier.
Built-in usage analysis to help users understand their AI usage.
Provides a modern web dashboard for easy management and monitoring.
Supports multiple AI models to improve development efficiency.
Limitations
Currently only supports specific AI models and may not meet all needs.
The learning curve may be steep for users unfamiliar with command-line operations.
Relies on local storage, and data is not uploaded to the cloud.
Requires a certain technical background to configure and maintain the server.

How to Use

Install Ultra MCP
Install Ultra MCP globally via npm.
Configure API Keys
Run the configuration command to set the API keys for OpenAI, Google Gemini, and Azure.
Start the MCP Server
Use the npx command to start the MCP server.
Access the Web Dashboard
Run the command to start the web dashboard, view usage statistics, and manage configurations.

Usage Examples

Code Generation
Use Ultra MCP to interact with AI models to generate high-quality code.
Problem Solving
Leverage the deep reasoning ability of AI models to solve complex technical problems.
Research Tasks
Conduct in-depth research and information collection through AI models.

Frequently Asked Questions

Does Ultra MCP support all AI models?
How to obtain API keys?
Where is the data of Ultra MCP stored?
How to uninstall Ultra MCP?

Related Resources

Model Context Protocol
Understand the standards and specifications of the Model Context Protocol.
Zen MCP Server
Refer to the implementation of other MCP servers.
Claude Code
Understand Claude Code and its integration with the MCP server.
Cursor IDE
Understand Cursor IDE and its support for MCP.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "ultra-mcp": {
      "command": "npx",
      "args": ["-y", "ultra"]
    }
  }
}

{
  "mcpServers": {
    "ultra-mcp": {
      "command": "npx", 
      "args": ["-y", "ultra"]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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