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Model Context Protocol CLI

by sansan4ez

Development/ToolsCLIMCPProtocolOpenAIOllamaModel 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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Model Context Protocol CLI

This repository contains a protocol-level CLI designed to interact with a Model Context Protocol server. The client allows users to send commands, query data, and interact with various resources provided by the server.

Features

  • Protocol-level communication with the MCP Server.
  • Dynamic tool and resource exploration.
  • Support for multiple providers and models:
    • Providers: OpenAI, Ollama.
    • Default models: gpt-4o-mini for OpenAI, qwen2.5-coder for Ollama.

Prerequisites

  • Python 3.8 or higher.
  • Required dependencies (see Installation)
  • If using ollama you should have ollama installed and running.
  • If using openai you should have an api key set in your environment variables (OPENAI_API_KEY=yourkey)

Installation

  1. Clone the repository:
git clone https://github.com/chrishayuk/mcp-cli
cd mcp-cli
  1. Install UV:
pip install uv
  1. Resynchronize dependencies:
uv sync --reinstall

Usage

To start the client and interact with the SQLite server, run the following command:

uv run mcp-cli --server sqlite

Command-line Arguments

  • --server: Specifies the server configuration to use. Required.
  • --config-file: (Optional) Path to the JSON configuration file. Defaults to server_config.json.
    • --all: (Optional) Use all the servers provided in the config
  • --provider: (Optional) Specifies the provider to use (openai or ollama). Defaults to openai.
  • --model: (Optional) Specifies the model to use. Defaults depend on the provider:
    • gpt-4o-mini for OpenAI.
    • llama3.2 for Ollama.

Examples

Run the client with the default OpenAI provider and model:

uv run mcp-cli --server sqlite

Run the client with a specific configuration and Ollama provider:

uv run mcp-cli --server sqlite --provider ollama --model llama3.2

Run the client with the default OpenAI provider and model, with all the servers in the config provided:

uv run mcp-cli --config "path to your server_config.json" --all

Interactive Mode

The client supports interactive mode, allowing you to execute commands dynamically. Type help for a list of available commands or quit to exit the program.

Supported Commands

  • ping: Check if the server is responsive.
  • list-tools: Display available tools.
  • list-resources: Display available resources.
  • list-prompts: Display available prompts.
  • chat: Enter interactive chat mode.
  • clear: Clear the terminal screen.
  • help: Show a list of supported commands.
  • quit/exit: Exit the client.

Chat Mode

To enter chat mode and interact with the server:

uv run mcp-cli --server sqlite

or for multiple servers:

uv run mcp-cli --server sqlite --server exa --server filesystem --server sequential-thinking --server memory

and then use 'chat' command to enter chat mode. In chat mode, you can use tools and query the server interactively. The provider and model used are specified during startup and displayed as follows:

Entering chat mode using provider 'ollama' and model 'llama3.2'...

Using OpenAI Provider:

If you wish to use openai models, you should

  • set the OPENAI_API_KEY environment variable before running the client, either in .env or as an environment variable.

Contributing

Contributions are welcome! Please open an issue or submit a pull request with your proposed changes.

License

This project is licensed under the MIT License.