# Lanalyzer MCP Server

> Use this tool when you need to identify security vulnerabilities in Python code, as it enables AI models to perform static taint analysis, detecting potential threats by tracking data flows from sources to sinks, and provides outputs that highlight vulnerabilities for further review. It solves problems related to code security and compliance, and accepts Python code as input. Ideal for use in development and testing contexts where security is a top priority.

Canonical page: https://skillsregistry.net/skills/hkxiaoyao-lanalyzer  
JSON: https://api.skillsregistry.net/v1/skills/hkxiaoyao-lanalyzer

## Description

Enables AI models to perform static taint analysis on Python code, detecting security vulnerabilities by tracking data flows from sources to sinks.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/eagw6t7ygm)
- **Repository:** <https://github.com/hkxiaoyao/lanalyzer>

## 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": "hkxiaoyao-lanalyzer"
    }
  }
}
```

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

---
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