# llms-mcp

> Use this tool when you need to provide context to AI models by exposing project resources and documentation. It solves the problem of making local and external resources accessible to AI models, allowing for more informed and accurate outputs. The llms-mcp server takes in a project root as input and outputs parsed documentation links and URLs as additional resources.

Canonical page: https://skillsregistry.net/skills/druellan-llms-mcp  
JSON: https://api.skillsregistry.net/v1/skills/druellan-llms-mcp

## Description

An MCP server that exposes the llms.txt file and its referenced local or external resources from a project root to provide context for AI models. It automatically parses documentation links and URLs to make them accessible as additional MCP resources.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/stvtfbkq1z)
- **Repository:** <https://github.com/druellan/llms-mcp>

## 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": "druellan-llms-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/druellan-llms-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/druellan-llms-mcp/pull`

---
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