# karst

> karst — moin105-karst. Use this tool when you need to analyze your local codebase and perform semantic code searches, impact analysis, or pack-scoped retrieval. It solves problems related to code understanding, navigation, and refactoring by providing cited file:line results. Ideal for use cases where developers require in-depth insights into their codebase, such as debugging, optimization, or maintenance tasks.

Canonical page: https://skillsregistry.net/skills/moin105-karst  
JSON: https://api.skillsregistry.net/v1/skills/moin105-karst

## Description

MCP server for local codebase analysis, enabling semantic code search, impact analysis, and pack-scoped retrieval with cited file:line results.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t9klki6m5r)
- **Repository:** <https://github.com/Moin105/karst>

## 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": "moin105-karst"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/moin105-karst` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/moin105-karst/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