# codesentry-mcp

> Use this tool when you need to identify security vulnerabilities, performance bottlenecks, and code quality issues in your repositories. The codesentry-mcp analyzes code through natural language interactions, providing outputs on potential issues and improvements. It is ideal for developers and teams seeking to enhance code security, performance, and quality through AI-powered code review assistance.

Canonical page: https://skillsregistry.net/skills/ayushgundecha-codesentry-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ayushgundecha-codesentry-mcp

## Description

AI-powered code review assistant that analyzes repositories for security vulnerabilities, performance bottlenecks, and code quality issues through natural language interactions.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cia9kh9ug7)
- **Repository:** <https://github.com/ayushgundecha/codesentry-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": "ayushgundecha-codesentry-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ayushgundecha-codesentry-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ayushgundecha-codesentry-mcp/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