A lightweight command-line interface (CLI) client that interacts with Model Context Protocol (MCP) servers, enabling users to communicate using natural language prompts. It is powered by OpenAI, designed for experimentation, and supports various MCP server configurations to extend language models with external tools.
Added on:
Created by:
May 10 2025
A lightweight command-line interface (CLI) client that interacts with Model Context Protocol (MCP) servers, enabling users to communicate using natural language prompts. It is powered by OpenAI, designed for experimentation, and supports various MCP server configurations to extend language models with external tools.
Added on:
Created by:
May 10 2025
Thada Wangthammang
Featured
What is Simple Chat CLI MCP Client?
This MCP client facilitates seamless communication with MCP servers through a simple CLI, utilizing OpenAI's GPT model. Users can initiate sessions, send natural language prompts, and invoke external tools such as file systems, APIs, or custom logic defined on MCP servers. It dynamically fetches available tools, interprets user prompts to decide when to call them, and manages tool invocation and response handling. Ideal for developers and researchers, it enhances LLM capabilities by integrating external functions and tools, providing a flexible environment for experimentation with external integrations and custom workflows.
Who will use Simple Chat CLI MCP Client?
- Developers
- Researchers
- AI enthusiasts
- Automation engineers
- Backend integrators
How to use the Simple Chat CLI MCP Client?
- Step1: Clone the repository from GitHub.
- Step2: Install dependencies with npm.
- Step3: Configure environment variables, especially your OpenAI API key.
- Step4: Set up MCP server configurations in the 'mcp.json' file.
- Step5: Run the client using the command 'npx tsx src/main.ts' with the appropriate server name.
- Step6: Enter natural language prompts to interact with MCP and invoke external tools.
Simple Chat CLI MCP Client's Core Features & Benefits
The Core Features
- Connects to MCP servers
- Fetches available tools
- Sends user prompts to GPT
- Invokes external tools
- Handles responses and displays results
The Benefits
- Enhances LLM capabilities with external tools
- Flexible and modular design
- Supports multiple MCP server configurations
- User-friendly CLI for experimentation
Simple Chat CLI MCP Client's Main Use Cases & Applications
- Integrate LLM with file systems for automatic log analysis
- Use external APIs for data retrieval
- Automate backend workflows with natural language commands
- Research and prototype external tool integrations with LLMs
FAQs of Simple Chat CLI MCP Client
Developer
- mildronize
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