# Code Analysis

> Use this tool when you need to analyze code repositories and improve code quality through AI-assisted reviews and static analysis. It solves problems such as inconsistent coding standards and potential bugs by providing automated refactoring suggestions and integrating with external services. The tool takes in code repositories as input and outputs analysis results and suggestions, making it ideal for development teams to enhance their workflows and ensure consistent code quality.

Canonical page: https://skillsregistry.net/skills/saiprashanths-code-analysis  
JSON: https://api.skillsregistry.net/v1/skills/saiprashanths-code-analysis

## Description

This MCP implementation, developed using Python 3.12, provides a code analysis tool with HTTP capabilities. It integrates with external services via the httpx library and leverages the MCP CLI for enhanced functionality. The implementation focuses on analyzing code repositories, likely using pathspec for file pattern matching. By combining code analysis with MCP's standardized interface, it enables AI-assisted code review, static analysis, and potentially automated refactoring suggestions. This tool is particularly suited for development teams looking to integrate AI-powered code analysis into their workflows, improving code quality and consistency across projects.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/saiprashanths-code-analysis)
- **Repository:** <https://github.com/saiprashanths/code-analysis-mcp>

## 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": "saiprashanths-code-analysis"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/saiprashanths-code-analysis` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/saiprashanths-code-analysis/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