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MCP Server Llmling

@phil65

Repository

Basic information

Category

Other

License

MIT

Transports

stdio

Author

phil65

About MCP Server Llmling

MCP (Model context protocol) server with LLMling backend

MCP Server Llmling config

Add this server to your MCP-compatible client using the configuration below.

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

MCP Server Llmling tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

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

Frequently asked questions

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.

Comments

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