mcp-adr-analysis-server and mcp-ai-agent-guidelines

mcp-adr-analysis-server
60
Established
mcp-ai-agent-guidelines
55
Established
Maintenance 13/25
Adoption 6/25
Maturity 24/25
Community 17/25
Maintenance 13/25
Adoption 4/25
Maturity 24/25
Community 14/25
Stars: 20
Forks: 10
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
Stars: 5
Forks: 3
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
No risk flags
No risk flags

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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