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jmcpx MCP Server

@Ernyoke

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基本情報

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トランスポート

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作者

Ernyoke

jmcpx MCP Server について

CLI client for interacting with MCP servers.

jmcpx MCP Server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

jmcpx MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

1

What are the system requirements for jmcpx?

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

2

Where do the configuration files reside by default?

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

3

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.

4

Which LLM providers are supported?

OpenAI, Anthropic, and Bedrock.

5

What license is jmcpx released under?

The MIT License.

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