Openai MCP Implementation
A simple server project that interacts with AI models of OpenAI and Claude as a master control program (MCP), providing a unified API interface and automatic provider detection function.
rating : 2 points
downloads : 8.6K
What is the MCP AI Gateway?
MCP (Master Control Program) is an intelligent proxy server that can automatically identify and call the most suitable AI model of OpenAI or Anthropic (Claude) to process your requests. It simplifies the calling process of APIs from different AI providers and provides a unified interface.How to use the MCP service?
Simply install the service and send a request containing your question, and MCP will automatically select the best AI model for processing. You can also specify a particular provider or model.Applicable scenarios
Suitable for developers who need to use multiple AI models simultaneously, teams that want to simplify API calls, and application scenarios that require intelligent routing of AI requests.Main Features
Intelligent Routing
Automatically select the API of OpenAI or Claude based on the model name without manual switching
Unified API Interface
Provide standardized request/response formats for different AI providers
Multi - model Support
Support the latest models of OpenAI and Claude, including the GPT - 4 and Claude - 3 series
Built - in Test Interface
Provide a web interface to directly test API functions
Advantages
Simplify the integration process of multiple AI providers
Automatically select the optimal model to process requests
Unify error handling and log recording
Built - in test tools for quick function verification
Limitations
Need to deploy and maintain the server by yourself
Depend on third - party API keys and quotas
New models require updating the service version
How to Use
Install the Service
Clone the code repository and install dependencies
Configure API Keys
Copy the example environment file and add your OpenAI and Claude API keys
Start the Service
Run the service (default port 3000)
Send a Request
Send a request through the API endpoint or use the built - in test interface
Usage Examples
Automatically select an AI to handle technical problems
Let MCP automatically select the most suitable AI model to answer complex technical questions
Quick content summary
Specify to use a fast model to handle simple tasks
Multi - model comparison test
Send the same question to different models to compare the results
Frequently Asked Questions
How can I know which AI model processed my request?
Can I use multiple AI models simultaneously?
Does the service support streaming responses?
How to add a new AI provider?
Related Resources
OpenAI API Documentation
Official OpenAI API reference documentation
Claude API Documentation
Official Anthropic Claude API documentation
GitHub Repository
Project source code
Node.js Installation Guide
Node.js environment required to run the service

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