# OpenCode LLM Wiki MCP Server

> Use this tool when you need to integrate AI agents with a knowledge graph database for advanced wiki page analysis and retrieval. It solves problems related to information retrieval, knowledge discovery, and semantic search by providing a persistent backend for reading, searching, and analyzing wiki pages. The tool accepts natural language inputs and returns relevant wiki pages, summaries, or insights through vector search and graph algorithms.

Canonical page: https://skillsregistry.net/skills/moowningstar-opencode-llm-wiki  
JSON: https://api.skillsregistry.net/v1/skills/moowningstar-opencode-llm-wiki

## Description

Enables AI agents to interact with a persistent knowledge graph backend using MCP tools for reading, searching, and analyzing wiki pages with vector search and graph algorithms.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nr45i4zwbi)
- **Repository:** <https://github.com/Moowningstar/opencode-llm-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": "moowningstar-opencode-llm-wiki"
    }
  }
}
```

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