#rails

Younanix Memory MCP gives autonomous AI agents access to real-world engineering memory from actual incidents (Slack threads + GitHub issues in Supabase, TRPC, Drizzle, Rails, Node.js etc).Natural language tool: query_lessons (search for problems, root causes, solutions) Structured output: {problem, root_cause, lesson_learned, confidence (80-100%), category, tags} Free preview: 3 queries/hour (degraded results) Full access: $0.10 per query via x402/USDC micropayments (permissionless, no API keys needed) 470+ lessons live, auto-growing from public repos Connect once in Cursor/Claude Desktop/Windsurf → your agent auto-queries high-confidence fixes without hallucinations. Perfect for debugging, performance, security, reliability in real stacks. Site: https://www.younanix.com Let's make agents smarter with battle-tested knowledge! #AIAgents, #MCP ,#Debugging

Automatically introspects your Rails application and exposes schema, models, routes, controllers, views, auth, tests, config, and conventions to AI assistants via MCP. 9 read-only tools, zero configuration. Works with Claude Code, Cursor, Windsurf, and GitHub Copilot.

Scout Monitoring's local MCP server empowers AI Assistants by integrating application performance and error data directly into their workflows. It allows AI models to access traces, errors with line-of-code information, and performance insights like N+1 queries, slow endpoints, and memory bloat from various frameworks including Rails, Django, and FastAPI. This direct data access enables AI Assistants to identify and suggest fixes for performance problems and errors right within your editor and codebase, significantly enhancing development efficiency and reducing debugging time.

Enable AI assistants to explore and query your Turbot Guardrails data!

A minimal Rails API template for creating MCP (Model Context Protocol) servers with robust tool execution capabilities and examples.

MCP servers in your Rails app

Mirror of