mcp-adr-analysis-server and mcp-ai-agent-guidelines
About mcp-adr-analysis-server
tosin2013/mcp-adr-analysis-server
A sophisticated Model Context Protocol (MCP) server for analyzing Architectural Decision Records (ADRs) and providing deep architectural insights to AI agents.
Leverages tree-sitter AST parsing for semantic code analysis across 50+ languages and maintains a knowledge graph tracking relationships between ADRs, code implementations, and architectural decisions. It integrates with OpenRouter.ai for immediate architectural insights with 95% confidence scoring, while providing smart code linking, security content masking, and deployment readiness validation—designed to work with AI assistants like Claude, Cline, and Cursor via the Model Context Protocol.
About mcp-ai-agent-guidelines
Anselmoo/mcp-ai-agent-guidelines
A Model Context Protocol (MCP) server offering professional tools and templates for hierarchical prompting, code hygiene, visualization, memory optimization, and agile planning.
Implements agent-to-agent orchestration with tool chaining and context propagation, enabling multi-step workflows where tools invoke each other with shared state. Built as a Node.js MCP server with TypeScript, it exposes specialized tools for code quality analysis (hygiene scoring 0-100), flow-based prompting, Mermaid diagram generation, and dependency-aware sprint planning, integrating via stdio transport with Claude and compatible AI agents.
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