Best Framework AI Skills & MCP Servers

MCP server providing documentation and examples for the Idealyst framework

The fullstack TypeScript framework for MCP and APIs — write one action, serve HTTP, WebSocket, CLI, background tasks, and MCP tools.

Give Claude Code a soul — persistent identity, cross-session learning, and evolving cognitive frameworks

Interactive documentation site and MCP (Model Context Protocol) server for the Ignis Framework. Includes a VitePress-powered documentation site with guides, API references, and best practices. Ships an MCP server (CLI: ignis-docs-mcp) with 11 tools for AI

AI-native CI/CD that runs on your machine. Zero config, zero cost. Works inside AI agent sandboxes (Claude, Cursor, Windsurf). 33 languages, 40+ frameworks, 22 deploy targets, 25 installable skills, Tailscale mesh, blast radius analysis.

MCP server that injects structured professional domain expertise into AI agents — decision frameworks, compliance workflows, and practitioner knowledge for accounting, legal, medical, Islamic finance, cybersecurity, and 19 more domains

A production-grade MCP server for IBM i

ACE Framework MCP server and CLI — single-file ACEPACK state, local-model serving, agent orchestration, and host compliance enforcement.

Production-ready MCP Server Framework with built-in logging, metrics, sessions, and multi-transport support.

Testing framework for Model Context Protocol (MCP) servers - like Jest but for MCP

MCP server for Agence — AI governance framework with policy enforcement, skills, memory, and multi-LLM consensus

Deployment tool and support utility for AI context. Copies agents, skills, commands, rules, and behaviors into the paths each AI platform reads (Claude Code, Codex, Copilot, Cursor, Warp, OpenClaw, and 6 more) so one source of truth works across 10 platfo

Model Context Protocol framework — MCP server hypervisor, adapter pattern, tool discovery, and adapters for Stripe, Supabase, and Vercel.

MVA (Model-View-Agent) framework for the Model Context Protocol. Structured perception packages with Presenters, cognitive guardrails, self-healing errors, action consolidation, and tRPC-style type safety — so AI agents perceive and act on your data deter

Core infrastructure and templates for building Model Context Protocol (MCP) servers with TypeScript

Mandu MCP Server - Agent-native interface for Mandu framework operations

DARE Framework - CLI, GraphRAG engine, MCP server and shared types in a single package

The TypeScript MCP framework with identity features built-in

AI agent orchestration framework for TypeScript/Node.js - 29 adapters (LangChain, AutoGen, CrewAI, OpenAI Assistants, LlamaIndex, Semantic Kernel, Haystack, DSPy, Agno, MCP, OpenClaw, A2A, Codex, MiniMax, NemoClaw, APS, Copilot, LangGraph, Anthropic Compu

MCP server for Desktop Insights — look up SDKs, frameworks, and dependencies used by 12,000+ macOS and Windows desktop applications

Self-evolving AI agent orchestration framework with Model Context Protocol support

A high-level agentic framework for Model Context Protocol (MCP) with memory and LLM integration.

Playwright-based testing and evaluation framework for MCP servers

Fast TypeScript AI agent framework — per-request agents, 30+ model providers, 100+ integrations, 20+ vector DBs, 10+ databases, sessions, memory, knowledge, tracing, evals, HITL, teams, and workflows.