Mcp Client By Openai
What is Mcp Client By Openai
mcp_client_by_openai is a project designed for personal learning and practice of the Model Context Protocol (MCP). It implements an MCP client that utilizes the OpenAI API.
Use cases
Use cases for mcp_client_by_openai include developing AI-driven applications, conducting experiments with language models, and building prototypes that leverage OpenAI’s capabilities.
How to use
To use mcp_client_by_openai, first install the ‘uv’ package as per the official documentation. Then, initialize the project, set up a virtual environment, and add the OpenAI MCP integration. Configure the environment variables in a .env file and set up the MCP server parameters in a config.json file before running the main.py script.
Key features
Key features of mcp_client_by_openai include integration with OpenAI’s API, customizable environment configurations, and support for various MCP server setups.
Where to use
mcp_client_by_openai can be used in fields such as artificial intelligence, machine learning, and software development, particularly for projects that require interaction with OpenAI’s 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 Mcp Client By Openai
mcp_client_by_openai is a project designed for personal learning and practice of the Model Context Protocol (MCP). It implements an MCP client that utilizes the OpenAI API.
Use cases
Use cases for mcp_client_by_openai include developing AI-driven applications, conducting experiments with language models, and building prototypes that leverage OpenAI’s capabilities.
How to use
To use mcp_client_by_openai, first install the ‘uv’ package as per the official documentation. Then, initialize the project, set up a virtual environment, and add the OpenAI MCP integration. Configure the environment variables in a .env file and set up the MCP server parameters in a config.json file before running the main.py script.
Key features
Key features of mcp_client_by_openai include integration with OpenAI’s API, customizable environment configurations, and support for various MCP server setups.
Where to use
mcp_client_by_openai can be used in fields such as artificial intelligence, machine learning, and software development, particularly for projects that require interaction with OpenAI’s 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
MCP_client_with_openai
此项目用于个人学习实践MCP(Modle Context Protocol)，本项目实现了一个使用openai api的mcp-client
快速开始
首先安装uv，官方文档：https://docs.astral.sh/uv/，
执行以下内容：
uv init MCP_client_by_openai cd MCP_client_by_openai uv venv source .venv/bin/activate uv add mcp openai
复制main.py到项目文件夹
模型配置
创建.env文件加载OPENAI_API_KEY、BASE_URL、MODEL等环境变量，例如：
❯ cat .env OPENAI_API_KEY=<your_openai_api_key> BASE_URL="https://api.deepseek.com" MODEL="deepseek-chat"
**注意：**请将.evn加入.gitignore
mcp_server运行配置
通过config.json执行运行的mcp服务端启动命令参数及环境变量
❯ cat config.json.example { "mcpServers": { "mcp-clickhouse": { "command": "uv", "args": [ "run", "--with", "mcp-clickhouse", "--python", "3.13", "mcp-clickhouse" ], "env": { "CLICKHOUSE_HOST": "<clickhouse-host>", "CLICKHOUSE_PORT": "<clickhouse-port>", "CLICKHOUSE_USER": "<clickhouse-user>", "CLICKHOUSE_PASSWORD": "<clickhouse-password>", "CLICKHOUSE_SECURE": "true", "CLICKHOUSE_VERIFY": "true", "CLICKHOUSE_CONNECT_TIMEOUT": "30", "CLICKHOUSE_SEND_RECEIVE_TIMEOUT": "30" } } } }
注意：请将config.json加入.gitignore
配置好以上信息后执行
uv run main.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.
