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by Anselmoo • Uncategorized
An MCP server providing multi-language idiomatic code analysis and actionable feedback for AI assistants and developers.
Idiomatic and structural code analysis across multiple programming languages.
Generate remediation prompts and prioritized fix tasks for code quality improvements.
Integrate language-aware code quality checks into IDEs and CI pipelines.
Zen of Languages codifies best practices into machine-readable rules across programming languages, CI automation, and configuration formats. It enables AI agents and developers to get language-aware feedback, severity-ranked violations, and remediation prompts directly in their editors or CI workflows. The server supports multiple languages and frameworks with rule-driven pipelines, improving code quality through interactive, context-aware analysis and fixes.
Return supported language list for analysis.
Analyze a code snippet against zen rules with stricter request-quality guardrails and richer telemetry metadata.
Generate remediation prompts with MCP-first guidance metadata and v2 versioned prompt semantics.
Analyze a repository path and return per-file analysis results.
Analyse a repository path and return token-budgeted, paginated violations designed for LLM context windows. Highest-severity violations appear first. Pass the returned cursor to resume from the next page.
Generate a remediation prompt scaffold for violations in a language.
Read-only resource exposing current configuration and active overrides.
Read-only resource listing language principle and detector coverage counts.
Scores are informational only and provided “as is” without warranty. AgentHotspot assumes no liability for actions taken based on these ratings.