# UltraCode

> Use this tool when you need to efficiently query and analyze code entities, relationships, and impact. UltraCode builds a comprehensive code structure graph and semantic vector index, solving problems related to code navigation, entity resolution, and change impact assessment. It accepts code repositories as input and outputs actionable insights, making it ideal for AI coding agents requiring fast and accurate code analysis in various development contexts.

Canonical page: https://skillsregistry.net/skills/faxenoff-ultracode  
JSON: https://api.skillsregistry.net/v1/skills/faxenoff-ultracode

## Description

MCP server for AI coding agents that builds a complete code structure graph and semantic vector index, enabling fast querying of code entities, relationships, and impact analysis.

## 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:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b2axgzmajv)
- **Repository:** <https://github.com/faxenoff/ultracode>

## 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": "faxenoff-ultracode"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/faxenoff-ultracode` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/faxenoff-ultracode/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