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jmcpx

@Ernyoke

About jmcpx

CLI client for interacting with MCP servers.

Basic information

Category

Other

Runtime

java

Transports

stdio

Publisher

Ernyoke

Config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is jmcpx?

jmcpx is a Command-Line Interface (CLI) client designed for interacting with MCP (Modular Command Processor) servers. It provides session management, tool and resource listing, and integrates with multiple Large Language Model (LLM) configurations such as OpenAI, Anthropic, and Bedrock.

How to use jmcpx?

Install Java 21+, clone the repository, and build with mvn clean package. Run java -jar target/jmcpx-1.0-SNAPSHOT.jar session to start an interactive session, or java -jar target/jmcpx-1.0-SNAPSHOT.jar list to list available tools and resources. Use the -c flag for a custom mcp.json path and -l for a custom llm.toml path.

Key features of jmcpx

  • Session management with MCP servers
  • Tool and resource listing
  • LLM integration (OpenAI, Anthropic, Bedrock)
  • Markdown rendering of responses
  • Customizable JSON and TOML configurations

Use cases of jmcpx

  • Start and manage interactive sessions with MCP servers
  • Retrieve and display available tools and resources
  • Integrate MCP server interactions with supported LLM providers
  • Customize MCP and LLM configuration files for different setups

FAQ from jmcpx

What are the system requirements for jmcpx?

Java version 21 or higher and Maven for building the project.

Where do the configuration files reside by default?

Configuration files are stored in <user.home>/.config/jmcpx/ as mcp.json and llm.toml.

How can I specify custom configuration file paths?

Use the -c or --mcp flag for the mcp.json path and the -l or --llm flag for the llm.toml path when running the session or list commands.

Which LLM providers are supported?

OpenAI, Anthropic, and Bedrock.

What license is jmcpx released under?

The MIT License.

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