LLMLing

LLMLing MCP Server lets you define and run an MCP-based environment for LLM applications entirely through YAML configuration. It provides resources, prompts, and tools that your LLM can access through the Machine Chat Protocol, enabling a self-contained, configurable runtime without writing boilerplate code.

How to use

To run the server locally, start the runtime using the standard MCP command. This launches a writable, streamable MCP server that your client can connect to over the chosen transport.

How to install

Prerequisites you need before installing:
- Python installed on your system (or the runtime environment you plan to use)
- A command runner available on your PATH (the example uses a generic runtime binary named `uvx`)
- A YAML configuration file for your LLMLing environment

Additional content

Configuration and running tips follow. The server is designed to load resources, prompts, and tools from your YAML file and expose them to clients via MCP.

Server start example (stdio transport). The following command starts the server with the given config path. This is the full runtime command you run from a shell.

uvx mcp-server-llmling@latest
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Server configuration example

{
  "mcpServers": {
    "llmling": {
      "type": "stdio",
      "name": "llmling",
      "command": "uvx",
      "args": ["mcp-server-llmling", "start", "path/to/your/config.yml"]
    }
  },
  "envVars": []
}