# Codacy

> Use this tool when you need to automate code review and quality analysis, as it provides integration with Codacy's platform to access static analysis, code coverage metrics, and quality gate configurations. This tool solves problems related to maintaining coding standards and streamlining code quality workflows, accepting code repositories and project configurations as inputs and generating quality reports and metrics as outputs. It is ideal for use in software development projects where automated code review and quality assurance are crucial.

Canonical page: https://skillsregistry.net/skills/codacy  
JSON: https://api.skillsregistry.net/v1/skills/codacy

## Description

This MCP server provides integration with Codacy's code quality platform, enabling AI assistants to interact with automated code review and quality analysis tools. The implementation allows access to Codacy's static analysis capabilities, code coverage metrics, and quality gate configurations, making it valuable for developers who need AI assistance with code quality workflows, automated review processes, and maintaining coding standards across projects.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/codacy)
- **Repository:** <https://github.com/codacy/codacy-mcp-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": "codacy"
    }
  }
}
```

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