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MCP Servers

MCP (Model Context Protocol) is an open protocol that standardizes how applications share context with large language models.

Official CLI for muapi.ai — generate images, videos & audio from the terminal. MCP server, 14 AI models, npm + pip installable.

Run Model Context Protocol (MCP) servers in the browser - no local setup required!

[https://github.com/laurynas-biveinis/org-mcp/actions/workflows/elisp-test.yml] [https://github.com/laurynas-biveinis/org-mcp/actions/workflows/super-linter.yml] [https://melpa.

Model Context Protocol, or MCP, is an open protocol that standardizes how applications provide context to LLMs.

OmniMCP provides rich UI context and interaction capabilities to AI models through Model Context Protocol (MCP) and microsoft/OmniParser.

MCP server that gets Claude to 97.9% (188/192) on a real coding benchmark at -80% active tokens and -83% wall time, vs 78.3% plain. Structural code navigation + persistent memory engine.

A distributed runtime system for federated AI services with edge computing capabilities.

A CLI tool that generates Vercel AI SDK stubs for Model Context Protocol (MCP) tools. Think of it as "shadcn for MCP".

Implementation of a model context protocol (MCP) client that connects to an MCP server using HTTP streamable (recommended) transport and displays the conversation in a chat-like UI.

A CLI tool for quickly scaffolding Model Context Protocol (MCP) server applications with TypeScript support and modern development tooling

Open Source Observability Platform for MCP Servers & Apps
Agent Skills

Personal memory across agents

Coding agents hallucinate APIs and forget what they learn in a session. Context Hub gives them curated, versioned docs, plus the ability to get smarter with every task.

Agent Skill for generating AGENTS.md files following the agents.md convention | Claude Code compatible

AI agents should not give project advice from vibes.

provide for AI agents, helping them build complete automated document workflows. Before large-model reasoning begins, ComPDF Skills can handle document parsing, OCR, data extraction, and structured...

🚀 Generate Python data models from schema definitions in seconds.

Agent-native way to access any website. Bridging agent CLI and web GUI through API.

The real-time engine for AI agents on the JVM. Tokens flow from the LLM runtime to the client through a broadcaster you can filter, gate, and observe — over WebSocket, SSE, long-polling, or gRPC, and...

A curated list of high-signal resources for (formerly , originally ): frameworks, skills, tooling, deployments, and real-world use cases.

Comprehensive best practices for building applications with the TanStack ecosystem. These skills provide AI coding agents with structured guidelines for TanStack Query, TanStack Router, and TanStack...

A multi-agent ML pipeline that turns a client's spreadsheet into a trained model and a one-page decision-support report — all inside hardened NemoClaw sandboxes.

High-value AI skills repository for Codex, Claude Code, OpenClaw, agents, prompts, and automation workflows. 高价值的 AI 技能库,涵盖 Codex、Claude Code、OpenClaw、代理、提示和自动化工作流程。