Clj Kondo MCP
C

Clj Kondo MCP

A clj-kondo syntax checking service based on the MCP protocol that provides code quality analysis for Clojure/ClojureScript/EDN files
2.5 points
5.7K

What is the clj-kondo MCP Server?

This is a server based on the Model Context Protocol (MCP) that specifically provides code quality linting for Clojure languages. When you work in Claude or other development environments without built-in linting, it can help you identify potential issues in your code.

How to use the clj-kondo MCP Server?

You can quickly start the service via a simple npm command or integrate it into your development environment. After the server starts, you can send requests via the MCP protocol to check your Clojure code.

Applicable scenarios

Particularly suitable for improving code quality in the Claude code editor, desktop IDE environments, or other environments lacking native Clojure linting support.

Main features

Clojure code inspection
Supports comprehensive code quality inspection for Clojure, ClojureScript, and EDN files
Configuration flexibility
Supports custom configuration directories and allows flexible adjustment of linting rules
Multi-level inspection
Supports inspecting code issues by different severity levels (error/warning)
Advantages
Can start using quickly without complex configuration
Fully compatible with the standard clj-kondo tool
Supports multiple Clojure file types (.clj/.cljs/.cljc/.edn)
Limitations
Requires a Node.js runtime environment
File paths must use absolute paths
Requires pre-installation of the clj-kondo tool

How to use

Install clj-kondo
Ensure that the clj-kondo tool is installed on the system and configured in the PATH environment variable
Install the MCP server
Install the server via npm or build it manually
Start the server
Start the MCP server using a simple command
Configure the development environment
Configure the MCP server connection in your IDE or editor

Usage examples

Check a single file
Perform code inspection on the specified Clojure source file
Check an entire project
Check all Clojure files in the project directory

Frequently Asked Questions

Why must absolute paths be used?
How to get the classpath string?
How to customize inspection rules?

Related resources

clj-kondo official documentation
clj-kondo configuration and usage guide
npm package page
npm package information for clj-kondo-mcp
MCP protocol description
Detailed description of the Model Context Protocol

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "clj-kondo": {
      "command": "npx",
      "args": ["clj-kondo-mcp"],
      "disabled": false,
      "autoApprove": []
    }
  }
}

{
  "mcpServers": {
    "clj-kondo": {
      "command": "node",
      "args": ["build/index.js"],
      "disabled": false,
      "autoApprove": []
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
7.0K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
7.0K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
14.2K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
5.8K
4 points
P
Paperbanana
Python
8.3K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
8.6K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.1K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
8.1K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
36.9K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
21.6K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
76.4K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
26.7K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
67.6K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
36.1K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
22.0K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
100.2K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase