# clj-kondo

> Use this tool when you need to analyze Clojure, ClojureScript, and EDN files for code quality issues, such as unused namespaces and private variables. It provides linting capabilities through a standardized interface, accepting file inputs and returning detailed results, including warnings and errors. Ideal for use in Claude code and desktop environments where built-in linting is not available, enabling AI assistants to perform code quality checks.

Canonical page: https://skillsregistry.net/skills/bigsy-clj-kondo  
JSON: https://api.skillsregistry.net/v1/skills/bigsy-clj-kondo

## Description

The clj-kondo MCP server provides linting capabilities for Clojure, ClojureScript, and EDN files through a standardized interface. It exposes a single tool that runs the popular clj-kondo static analyzer on specified files, supporting custom configuration directories and returning detailed linting results including warnings about unused namespaces, private variables, and other code quality issues. Built with TypeScript using the Model Context Protocol SDK, this implementation enables AI assistants to perform code quality checks on Clojure codebases, making it particularly valuable for Claude code and desktop environments where built-in linting capabilities are not available.

## 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/bigsy-clj-kondo)
- **Repository:** <https://github.com/bigsy/clj-kondo-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": "bigsy-clj-kondo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bigsy-clj-kondo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bigsy-clj-kondo/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