# llm-wiki-mcp

> llm-wiki-mcp — gmroadlander-llm-wiki-mcp. Use this tool when you need to efficiently manage and search a large collection of markdown notes with wiki-style links, enabling features like full-text search, backlink discovery, and secure writing capabilities. It solves problems related to note organization, search, and discovery, while providing a safe and protected interface for reading and appending notes. Ideal for use cases involving large markdown datasets, such as personal knowledge bases or collaborative note-taking systems.

Canonical page: https://skillsregistry.net/skills/gmroadlander-llm-wiki-mcp  
JSON: https://api.skillsregistry.net/v1/skills/gmroadlander-llm-wiki-mcp

## Description

An MCP server for a plain-markdown LLM wiki vault with YAML frontmatter and Obsidian-style wiki-links, enabling headless full-text search, note reading, backlink discovery, and safe append/create-only writing with path traversal protection and an immutable raw/ directory.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tux1nki8ly)
- **Repository:** <https://github.com/GMRoadlander/llm-wiki-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": "gmroadlander-llm-wiki-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gmroadlander-llm-wiki-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gmroadlander-llm-wiki-mcp/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