# mcp-wiki

> Use this tool when you need to integrate project knowledge with AI assistants, enabling efficient search and access to wiki content. It solves problems of information discovery and retrieval, providing features like fuzzy search and content search to facilitate knowledge sharing. With inputs of wiki content and outputs of relevant search results, use mcp-wiki in contexts where project documentation and AI collaboration are crucial.

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

## Description

Exposes any project wiki to AI assistants with features like fuzzy search, content search, lazy loading, and auto-reload.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c1i51i3q2r)
- **Repository:** <https://github.com/jommar/mcp-wiki>

## 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": "jommar-mcp-wiki"
    }
  }
}
```

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