SDL-MCP gives coding agents the right code context, not your entire repo. It turns sprawling codebases into compact, high-signal context that saves tokens, speeds up workflows, and improves agent output.

Curated list of awesome AI tools to build beautiful UI/UX.

Permanent memory for AI agents. Single binary, zero dependencies, MCP native.

Low-Code Full-Stack Agentic AI Development using LLMs, n8n, Loveable, UXPilot, Supabase and MCP. Class Videos: https://www.youtube.com/playlist?list=PL0vKVrkG4hWq5T6yqCtUL7ol9rDuEyzBH

One-command setup for AI-powered Laravel development with Claude Code and MCP servers

labs/mxcp)** (Python) - Open-source framework for building enterprise-grade MCP servers using just YAML, SQL, and Python, with built-in auth, monitoring, ETL and policy enforcement.

MCP server that connects AI assistants to HackerOne for bug bounty hunting

The cognitive database. A new class of data storage. Not a vector store, not a graph DB, not a RAG wrapper. Ebbinghaus decay, Hebbian learning, and Bayesian confidence are engine-native primitives. Memories evolve on their own. MCP-native. Single binary.

A Playwright-based Node.js tool that bypasses search engine anti-scraping mechanisms to execute Google searches. Local alternative to SERP APIs with MCP server integration.

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.

Deterministic orchestrator for 30+ CLI AI coding agents. Git worktree isolation, HMAC audit trail, MCP server mode.

Learn to build from scratch an AI PR reviewer integrated with GitHub, Slack and Asana that scales within your organization.

AI-first security scanner with 76 analyzers, 9,600+ detection rules, and repo poisoning detection for AI/ML, LLM agents, and MCP servers. Scan any GitHub repo with: medusa scan --git user/repo

Opensource Memory for Agents

Turn AI into a persistent, memory-powered collaborator. Universal MCP Server (supports HTTP, STDIO, and WebSocket) enabling cross-platform AI memory, multi-agent coordination, and context sharing. Built with MARM protocol for structured reasoning that evolves with your work.

AI Session Memory with Think-Execute-Reflect Quality Loops — give your agent a brain that survives every session. Built on the Intelligent Distance principle.

TypeScript framework for building production MCP servers. Fluent tool API, FSM gating, presenters, semantic routing, cache hints, Zod validation. Model-View-Agent architecture for the Model Context Protocol.

Turn any MCP server into a Python module

Long-term memory layer for OpenClaw & MoltBook agents that learns and recalls your project context automatically.

A Model Context Protocol (MCP) server that enables AI assistants to interact with Anki, the spaced repetition flashcard application.

Your First LLM-Wiki Conversation Knowledge Base

Production-ready Claude Code skills for SAP development - 35 skills covering BTP, CAP, Fiori, ABAP, HANA, Analytics Cloud, and more

Groundhog's primary purpose is to teach people how Cursor and all these other coding agents work under the hood. If you understand how these coding assistants work from first principles, then you can drive these tools harder (or perhaps make your own!).

📜 An MCP server for conversation history search and retrieval in Claude Code