ai-development
10 servers · 962★ total
Exploring the Model Context Protocol (MCP) through practical guides, clients, and servers I've built while learning about this new protocol.
Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.
Model Context Protocol (MCP) server for reusable prompt templates, multi-step workflow chains, and quality gates. Compose agentic workflows with an operator syntax; export as native skills to Claude Code, Cursor, OpenCode, and Gemini CLI.
One TypeScript interface for 24+ LLM providers — swap providers without rewriting. MCP-native (connect any MCP server), voice (TTS/STT/realtime), RAG, memory, file processors. Production-origin: powers Tara, Yama, and Clairvoyance at Juspay.
Persistent memory for AI coding agents. Local-first, cross-session context, global knowledge, and optional autonomous task execution.
🏛️ Memory System for AI Coding Tools - Never explain your codebase again. MCP server with perfect project isolation, 95.8% context accuracy, and the Four Pillars Framework.
Hoofy — AI development companion MCP server. Persistent memory, spec-driven development, adaptive change pipeline, Clarity Gate. 32 tools, single Go binary, zero deps.
Comprehensive guide for building AI tools using Model Context Protocol (MCP). Learn to develop, secure, and deploy production-ready AI integrations.
🎛️ The visual command center for AI tool configuration. Stop wrestling with JSON - start managing MCP servers visually across Claude, VS Code, and more.
AI-powered development tools server for Claude Code and MCP clients. 40+ tools for Go, Node.js, testing, linting, Git workflows. Zero-config setup, intelligent caching, extensible plugins.