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Lite-MCP-Client

by sligter

Lite-MCP-Client is a lightweight command-line MCP client tool that connects to various MCP servers. It helps users easily invoke tools, resources, and prompt templates provided by the server, integrating with large language models for intelligent queries and processing.

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What is Lite-MCP-Client?

Lite-MCP-Client is a command-line tool designed to interact with MCP (Model-Chat-Prompt) servers. It allows users to connect to multiple servers, call tools, access resources, and utilize prompt templates provided by those servers.

How to use Lite-MCP-Client?

To use Lite-MCP-Client, first install it via pip or uv. Then, configure the .env file. You can then use the lite-mcp-client command followed by various options like --interactive, --server, --query, --call, --get, and --prompt to interact with the connected MCP servers. Refer to the README for detailed command examples and configuration options.

Key features of Lite-MCP-Client

  • Multi-server connection management

  • Support for STDIO and SSE server types

  • Tool invocation

  • Resource retrieval

  • Prompt template usage

  • Intelligent query processing

  • Flexible interaction modes

  • Intelligent dialogue history management

Use cases of Lite-MCP-Client

  • Querying news and summarizing content

  • Accessing web pages and extracting information

  • Automating tasks using server-provided tools

  • Integrating with large language models for intelligent conversations

  • Managing and utilizing prompt templates for various applications

FAQ from Lite-MCP-Client

What is an MCP server?

MCP (Model-Chat-Prompt) server provides tools, resources, and prompt templates that can be used in conjunction with large language models.

How do I connect to an MCP server?

You can connect to an MCP server using the --server option followed by the server name, or use --connect-all to connect to all default servers defined in the configuration.

How do I call a tool on a server?

Use the --call option followed by the server name and tool name (e.g., server.tool) and any required parameters.

How do I get a resource from a server?

Use the --get option followed by the server name and resource URI (e.g., server.resource_uri).

How do I use a prompt template?

Use the --prompt option followed by the server name and prompt name (e.g., server.prompt_name) and any required parameters.