MCP implementation of Claude Code capabilities and more

Everything Anthropic ships for builders, archived and updated 4× daily. 3,900+ files. 12 sources. API, Claude Code, MCP, docs, cookbooks, skills, plugins.

Official, Anthropic-managed directory of high quality Claude Code Plugins.

MCP Server to previewing mermaid diagrams with live reload

Mantis Hack

Plugin for Butterbase.ai

A fast codebase indexer and knowledge wiki for AI agents.

Cowork/Claude Code skill for Unreal Engine 5 development via MCP, pixel streaming, and Python editor scripting

🦖 Serverless AI Agent Framework with Geo-distributed Edge AI Infra.

Browser automation clicks buttons. OpenTabs calls APIs.

A third-party Perplexity MCP/REST API implementation that leverages Pro account Pool to provide unlimited quota for ask and deep search capabilities.

Correction-first persistent memory for AI agents. MCP server + SDK + CLI. Compounds across sessions.

An MCP server that allows users to dynamically add custom tools/functions at runtime

Self-correcting learning engine for Claude Code — persistent identity, behavioral pattern tracking, and cross-session memory

Define task-specific AI sub-agents in Markdown for any MCP-compatible tool.

Cowork on a spatial canvas from the CLI — create canvases, generate images/text/video/agent responses, read results, recall past work, and manage nodes

Remote approvals, policy checks, and execution evidence for unattended AI agents.

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

Agentic AI explained with chickens 🐔 every pattern a runnable, CI-checked file.

Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows.

Next-gen AI memory layer with importance scoring, temporal decay, hierarchical memory, and YMYL prioritization

Awesome Claude Code plugins — a curated list of slash commands, subagents, MCP servers, and hooks for Claude Code

🌀 AI-native framework for building data portals. Scaffold a full portal from a brief and load datasets in minutes with agentic skills — any backend (CKAN, GitHub, Frictionless).

A standardized framework for enhancing how LLMs process and respond to prompts through composable decorators, featuring an official open standard specification and Python reference implementation. Claude Code plugin and MCP server integration.