Model Context Protocol CLI

by sansan4ez

Development/Tools CLI MCP Protocol OpenAI Ollama Model Context

The Model Context Protocol CLI is a protocol-level command-line interface designed to interact with a Model Context Protocol server. It allows users to send commands, query data, and interact with resources provided by the server.

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What is Model Context Protocol CLI?

The Model Context Protocol CLI (mcp-cli) provides a way to interact with a Model Context Protocol server, enabling users to manage and query data using a command-line interface.

How to use Model Context Protocol CLI?

To use the mcp-cli, you need to clone the repository, install the required dependencies, and then run the client with the appropriate command-line arguments. You can specify the server, provider (OpenAI or Ollama), and model to use. Interactive mode is also supported, allowing you to execute commands dynamically.

Key features of Model Context Protocol CLI

Protocol-level communication with MCP Server
Dynamic tool and resource exploration
Support for multiple providers (OpenAI, Ollama)
Interactive mode
Command-line arguments for configuration

Use cases of Model Context Protocol CLI

Querying data from an MCP server
Managing resources on an MCP server
Interacting with different providers (OpenAI, Ollama)
Exploring available tools and prompts
Using interactive chat mode for dynamic interaction

FAQ from Model Context Protocol CLI

What is the purpose of the Model Context Protocol CLI?

It allows users to interact with a Model Context Protocol server via the command line.

What providers are supported?

The client supports OpenAI and Ollama.

What models can I use?

Default models are gpt-4o-mini for OpenAI, and qwen2.5-coder for Ollama, or any model you have installed for them.

How do I specify which server configuration to use?

Use the --server argument, such as --server sqlite.

How do I enter interactive chat mode?

Run the client, then use the chat command.