Mcpclient For Openai Api
What is Mcpclient For Openai Api
MCPClient-for-OpenAI-API is a simple Python client designed to facilitate requests and responses to the OpenAI API. It serves as a testing tool for MCP servers that adhere to OpenAI API formats.
Use cases
Use cases include testing new API implementations, developing applications that require AI interactions, and experimenting with different models and contexts in a controlled environment.
How to use
To use MCPClient-for-OpenAI-API, ensure you have the required ‘mcp’ package and a ‘.env’ file configured with your proxy URL and OpenAI API key. Run the client using the command: uv run .\client.py <YourMCPSeverPath>\<servername>.py.
Key features
Key features include query input for calling the MCP server, automatic model selection from available models, customizable context size for conversation history, and the ability to clear context for new queries.
Where to use
MCPClient-for-OpenAI-API can be used in various fields that require interaction with OpenAI API formats, such as AI research, application development, and testing environments for machine learning models.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcpclient For Openai Api
MCPClient-for-OpenAI-API is a simple Python client designed to facilitate requests and responses to the OpenAI API. It serves as a testing tool for MCP servers that adhere to OpenAI API formats.
Use cases
Use cases include testing new API implementations, developing applications that require AI interactions, and experimenting with different models and contexts in a controlled environment.
How to use
To use MCPClient-for-OpenAI-API, ensure you have the required ‘mcp’ package and a ‘.env’ file configured with your proxy URL and OpenAI API key. Run the client using the command: uv run .\client.py <YourMCPSeverPath>\<servername>.py.
Key features
Key features include query input for calling the MCP server, automatic model selection from available models, customizable context size for conversation history, and the ability to clear context for new queries.
Where to use
MCPClient-for-OpenAI-API can be used in various fields that require interaction with OpenAI API formats, such as AI research, application development, and testing environments for machine learning models.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
MCPClient-for-OpenAI-API
This is a simple MCP Client Python implement for OpenAI API request and response formats.
It can be used to test MCP server with OpenAI API. Any API format follows OpenAI API can use this MCP Client. (eg. NewAPI, OneAPI, etc.)
Requirements
- mcp package is essential.
- A
.envfile is needed, contains the following:
OPENAI_BASE_URL=https://{yourProxyURL}/v1/ # No need for offical openai api key OPENAI_API_KEY=sk-1234567890abcdefghijlmnopqrstuvwxyz
Functions
Query: Type your queries, if need call the mcp server, the LLM will call it.
Model selection: It will automanticlly gain the available models from your base url and show in the terminal. You can choose a model to use by yourself. The default model is gpt-4o. And you can change the model by inputting model to another any time you want.
Context setting: The default context size is 5, which means it can remain your (user/tool and assistant) 5 chat as conversation history. You can change the size by inputting context and set your own context size.
Clear context: When you want to start a new independent query, you can input clear to clear the conversation history.
Usage
uv run .\client.py <YourMCPSeverPath>\<servername>.py
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
