# io.github.Muvon/octocode

> Use this tool when you need to efficiently search and navigate large codebases, as it provides AI-powered code indexing with semantic search and knowledge graphs to solve problems like code discovery and understanding. It takes in code repositories as input and outputs relevant search results and visualized knowledge graphs. Ideal for use cases where developers need to quickly comprehend complex code structures and relationships.

Canonical page: https://skillsregistry.net/skills/io-github-muvon-octocode  
JSON: https://api.skillsregistry.net/v1/skills/io-github-muvon-octocode

## Description

AI-powered code indexer with semantic search and knowledge graphs

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 0.11.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-24

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Muvon%2Foctocode)

## 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": "io-github-muvon-octocode"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-muvon-octocode` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-muvon-octocode/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