MCP-CLI-HOST

What is MCP-CLI-HOST?

MCP-CLI-HOST is a command-line interface (CLI) host application that enables Large Language Models (LLMs) to interact with external tools through the Model Context Protocol (MCP). It supports various models including OpenAI, Azure OpenAI, Deepseek, and Ollama.

How to use MCP-CLI-HOST?

To use MCP-CLI-HOST, install it via pip, configure your API keys and server settings, and then run commands to interact with the desired LLM model through the CLI.

Key features of MCP-CLI-HOST?

• Interactive conversations with multiple LLM models
• Support for multiple concurrent MCP servers
• Dynamic tool discovery and integration
• Tool calling capabilities for both model types
• Configurable MCP server locations and arguments
• Consistent command interface across model types
• Configurable message history window for context management
• Monitor/trace errors from the server side
• Support for sampling and roots

Use cases of MCP-CLI-HOST?

1. Engaging in interactive conversations with AI models.
2. Integrating various tools and services through a unified CLI interface.
3. Testing and developing applications that utilize LLMs.

FAQ from MCP-CLI-HOST?

• What models does MCP-CLI-HOST support?

MCP-CLI-HOST supports OpenAI, Azure OpenAI, Deepseek, and Ollama models.

• How do I install MCP-CLI-HOST?

You can install it using the command: pip install mcp-cli-host.

• Can I configure multiple MCP servers?

Yes! MCP-CLI-HOST allows you to configure multiple concurrent MCP servers.