# CodeChecker

> Use this tool when you need to analyze and improve code quality within your IDE workflow. CodeChecker provides real-time code review capabilities, offering specific improvement suggestions and determining if the code meets stated goals, solving problems such as inefficient coding and debugging. It takes in code snippets and context as input, and outputs detailed analysis and suggestions for improvement, making it ideal for developers seeking AI-assisted code reviews.

Canonical page: https://skillsregistry.net/skills/jacklandis29-codechecker  
JSON: https://api.skillsregistry.net/v1/skills/jacklandis29-codechecker

## Description

CodeChecker MCP is a code review tool designed for integration with Cursor IDE, leveraging OpenAI's GPT models for intelligent code analysis. Developed by Jack Landis, it offers real-time code review capabilities, supporting both SSE and stdio transport modes. The server analyzes code snippets against provided context, offering specific improvement suggestions and determining if the code meets stated goals. It's particularly useful for developers seeking AI-assisted code reviews within their IDE workflow.

## Trust

- **Trust score (0–1):** 0.94
- **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:** [PulseMCP](https://www.pulsemcp.com/servers/jacklandis29-codechecker)
- **Repository:** <https://github.com/jacklandis29/codechecker-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": "jacklandis29-codechecker"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jacklandis29-codechecker` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jacklandis29-codechecker/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