# Code Scanner Server

> Use this tool when you need to extract and analyze structural information from codebases, such as classes and functions, with customizable filtering options. It solves problems related to code comprehension, reverse engineering, and automated code analysis, providing outputs in formats suitable for Large Language Models (LLMs). The Code Scanner Server takes in codebases as input and outputs structured data, making it ideal for use cases involving code inspection, documentation, and knowledge graph construction.

Canonical page: https://skillsregistry.net/skills/ixe1-code-scanner-server  
JSON: https://api.skillsregistry.net/v1/skills/ixe1-code-scanner-server

## Description

An MCP server that scans codebases to extract structural information (classes, functions, etc.) with flexible filtering options and outputs in LLM-friendly formats.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ne226jd1cs)
- **Repository:** <https://github.com/Ixe1/code-scanner-server>

## 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": "ixe1-code-scanner-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ixe1-code-scanner-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ixe1-code-scanner-server/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