# mcp-server-llmling

> Use this tool when you need to manage and configure Large Language Model (LLM) applications without requiring coding expertise. It solves problems related to resource allocation, tool integration, and prompt definition by providing a YAML-based configuration system. The server accepts YAML configuration files as input and outputs a customized LLM application setup, ideal for use cases where flexibility and ease of configuration are crucial.

Canonical page: https://skillsregistry.net/skills/phil65-mcp-server-llmling  
JSON: https://api.skillsregistry.net/v1/skills/phil65-mcp-server-llmling

## Description

A server for the Machine Chat Protocol (MCP) that provides a YAML-based configuration system for LLM applications, allowing users to define resources, tools, and prompts without writing code.

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cmdjbbuzee)
- **Repository:** <https://github.com/phil65/mcp-server-llmling>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "phil65-mcp-server-llmling"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/phil65-mcp-server-llmling` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/phil65-mcp-server-llmling/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt