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MCP Server Llmling

@phil65

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

phil65

MCP Server Llmling について

MCP (Model context protocol) server with LLMling backend

MCP Server Llmling の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-server-llmling": {
      "command": "uvx",
      "args": [
        "mcp-server-llmling@latest"
      ]
    }
  }
}

MCP Server Llmling 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。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is mcp-server-llmling?

mcp-server-llmling is a YAML-based configuration system for LLM applications built on the Machine Chat Protocol (MCP). It allows you to define resources, prompts, and tools in YAML files without writing code, providing a complete environment for LLM interaction.

How to use mcp-server-llmling?

Install via uvx mcp-server-llmling@latest and start with a YAML config file using mcp-server-llmling start path/to/config.yml. Configure as a context server in Zed or Claude Desktop by specifying the command and arguments in their respective settings files. Programmatic usage is also supported via Python’s LLMLingServer class.

Key features of mcp-server-llmling

  • Static YAML declaration – no code required
  • Resources: files, text, CLI output, images, Python callables
  • Tools: register Python functions or OpenAPI specs
  • Prompts: static templates or dynamic Python functions
  • Multiple transports: stdio, SSE, Streamable HTTP

Use cases of mcp-server-llmling

  • Define an LLM’s environment and tools in a single YAML file
  • Serve content and actions to MCP‑compatible clients (Zed, Claude Desktop)
  • Enable hot‑reload for resource files during development
  • Expose OpenAPI endpoints as callable LLM tools
  • Create reusable tool sets and prompt templates across projects

よくある質問

1

What MCP protocol operations does it support?

Resource operations (list, read, watch), tool operations (list, execute, get schemas), prompt operations (list, get formatted, completions), and notifications for changes and progress.

2

What transport options are available?

Default stdio; also SSE and Streamable HTTP for web clients, configurable via `transport_options` in code.

3

How do I start the server manually?

Run `uvx mcp-server-llmling@latest` from command line; or with a config file using `mcp-server-llmling start path/to/config.yml`.

4

Can I use it without writing Python code?

Yes – the YAML configuration declares resources, tools, and prompts without requiring custom Python code.

5

How do I configure OpenAPI‑based tools?

Define a toolset with `type: openapi` and `spec` pointing to the OpenAPI schema; Redocly CLI is used automatically if installed for schema bundling.

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