mcp-server-analyzer and mcp-zen-of-languages

mcp-server-analyzer
54
Established
mcp-zen-of-languages
39
Emerging
Maintenance 6/25
Adoption 10/25
Maturity 24/25
Community 14/25
Maintenance 13/25
Adoption 8/25
Maturity 18/25
Community 0/25
Stars: 5
Forks: 3
Downloads: 437
Commits (30d): 0
Language: Python
License: MIT
Stars: 2
Forks:
Downloads: 598
Commits (30d): 0
Language: Python
License: MIT
No risk flags
No risk flags

About mcp-server-analyzer

Anselmoo/mcp-server-analyzer

MCP server for Python code analysis with RUFF linting and VULTURE dead code detection

Implements five specialized MCP tools (ruff-check, ruff-format, vulture-scan, analyze-code) that expose configurable linting, formatting, and dead code detection capabilities over stdio transport. Built on the FastMCP framework for high-performance server operations, with optional Docker deployment and direct integration into Claude Desktop, VS Code, and Zed editors via MCP protocol handlers. Provides combined quality scoring that weighs RUFF issues against unused code detection, enabling AI assistants and CI/CD workflows to perform comprehensive Python code review in a single request.

About mcp-zen-of-languages

Anselmoo/mcp-zen-of-languages

🌍 Multi-language architectural and idiomatic code analysis via MCP server 🔧 and CLI 💻.

Encodes 348 zen principles across multiple programming languages and domains into machine-readable detector rules that score violations by severity. Operates as an MCP server (13 tools, 3 resources, 1 prompt) integrated into Claude Desktop, VS Code, Cursor, and other MCP clients, or runs standalone via CLI with JSON/Markdown export and AI-generated remediation prompts. Rule-driven architecture prioritizes language-native idioms and architectural patterns over generic linting, enabling context-aware feedback directly within editor workflows.

Scores updated daily from GitHub, PyPI, and npm data. How scores work