What is Mcp_client_server used for?
It is a CLI tool that combines GitHub operations with OpenAI queries, using the Model Context Protocol to provide GitHub context to the AI.
MCP Client Server
@devmadni
基本信息
关于 MCP Client Server
This is a Node.js command-line application that integrates with GitHub via the Model Context Protocol (MCP) server and OpenAI's API.
MCP Client Server 配置
MCP Client Server 工具
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概览
What is Mcp_client_server?
Mcp_client_server is a Node.js command-line application that integrates with GitHub via the Model Context Protocol (MCP) server and OpenAI’s API. It allows users to perform GitHub operations (creating repositories, listing repositories) and query OpenAI for GitHub‑related information using context from the MCP server.
How to use Mcp_client_server?
Clone the repository, run npm install, set OPENAI_API_KEY and GITHUB_PERSONAL_ACCESS_TOKEN in a .env file, then start the interactive CLI with node openai-mcp-client.js. Recognized commands include create new repo named <name>, list all repositories, list github api, and natural‑language queries like how to create a pull request.
Key features of Mcp_client_server
- GitHub operations: create and list repositories.
- Query OpenAI with GitHub context from an MCP server.
- Interactive command‑line interface.
- Secure configuration via environment variables.
- On‑demand installation of the GitHub MCP server via npx.
Use cases of Mcp_client_server
- Automating GitHub repository creation from a terminal.
- Listing all repositories in a GitHub account.
- Getting GitHub‑related guidance (e.g., “how to create a pull request”) through OpenAI.
- Testing MCP server integration with a conversational AI.
常见问题
What dependencies and runtime are required?
Node.js 14 or higher, npm, a GitHub Personal Access Token with `repo` scope, and an OpenAI API key. The app uses `axios`, `dotenv`, and the `@modelcontextprotocol/server-github` MCP server (installed on demand via npx).
Where do API keys and data live?
API keys are stored in a local `.env` file (which is git‑ignored). Data queries go directly to GitHub’s API and OpenAI’s API over HTTPS.
What are the known limits or pitfalls?
Commands must be typed exactly as described (e.g., `create new repo named my-repo`). If the GitHub MCP server fails to start, check the token’s validity and internet connectivity. OpenAI queries fail if the API key is incorrect.
How does authentication work?
GitHub operations are authenticated with a personal access token (`GITHUB_PERSONAL_ACCESS_TOKEN`). OpenAI queries use an `OPENAI_API_KEY`. Both are set in the `.env` file and never committed to version control.
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