AILint MCP Server - AI-powered code quality analysis
AILint MCP Server - AI-powered code quality analysis
AI assistants, while powerful, frequently exhibit common pitfalls in code generation: - Tightly Coupled & Untestable Code: Defaults to hardcoded dependencies and monolithic structures. - Insecure Patterns: Introduces SQL injection vulnerabilities, weak cryptography, and other security flaws. - Unreadable & Complex Code: Generates deeply nested logic and vague naming conventions. - Inefficient Operations: Uses blocking calls instead of asynchronous, concurrent patterns. - Inconsistent Practices: Produces non-standard commit messages, unhelpful error messages, and generic variable/function
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{
"mcpServers": {
"ailint": {
"command": "npx",
"args": ["-y", "@ailint/mcp"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Use Microsoft’s Playwright MCP server to navigate pages, inspect accessibility snapshots, fill forms and capture browser screenshots.
Connect GitHub MCP to repositories, issues and pull requests with GitHub’s hosted service or a locally run server.
Use the Supabase MCP server to inspect database schemas, query project data and retrieve docs through a project-scoped connection.
Search Linear issues and projects, inspect work context and manage updates through Linear’s hosted MCP server with OAuth.