Openai MCP Implementation
O

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.
2 points
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

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

K
Klavis
Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.
TypeScript
9.2K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
10.0K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
4.9K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
6.4K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
8.9K
5 points
M
Mcpjungle
MCPJungle is a self-hosted MCP gateway used to centrally manage and proxy multiple MCP servers, providing a unified tool access interface for AI agents.
Go
0
4.5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
N
Nexus
Nexus is an AI tool aggregation gateway that supports connecting multiple MCP servers and LLM providers, providing tool search, execution, and model routing functions through a unified endpoint, and supporting security authentication and rate limiting.
Rust
0
4 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
14.8K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
24.8K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
15.6K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
43.3K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
44.6K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
20.3K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
15.0K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
63.1K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase