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MCP Servers

implements the Model Context Protocol for and . AI clients discover schema, run SQL with guardrails, and optionally merge so agents interpret codes and tables consistently—without replacing your...

A Model Context Protocol server for interacting with Strapi CMS. This server enables AI assistants to interact with your Strapi instance through a standardized interface, supporting content types and...

A secure REST API and Model Context Protocol (MCP) server for your vault.

A Model Context Protocol (MCP) server that enables AI assistants to interact with IDA Pro for reverse engineering and binary analysis tasks.

DeepView MCP is a Model Context Protocol server that enables IDEs like Cursor and Windsurf to analyze large codebases using Gemini 2.5 Pro's extensive context window.

Windows and macOS are not supported. Using Docker does not change the host OS support policy.

MCP server for document format conversion using pandoc.

Meilisearch | Meilisearch Cloud | Documentation | Discord

This is a Model Context Protocol (MCP) server that integrates AgentQL's data extraction capabilities.

Google Ads MCP server + Meta Ads MCP (Facebook Ads MCP) + GA4 + Search Console in one hosted remote MCP for Claude, ChatGPT, Cursor & n8n: 250+ tools, OAuth login, no API keys, approval-gated writes,...

Model Context Protocol server to let LLMs write and execute matlab scripts

Outline now ships an — we recommend using it. Read the docs.
Agent Skills

Shiny for Python is the best way to build fast, beautiful web applications in Python. You can build quickly with Shiny and create simple interactive visualizations and prototype applications in an...
One Python API: store media, run models, index embeddings, serve endpoints, and version everything in a single system instead of gluing together blob storage, a vector DB, an orchestrator, and edge...

Adala is an **utonomous **ta (**abeling) **gent framework.

Beautiful UI components built for Better Auth.

KAI Scheduler is a robust, efficient, and scalable Kubernetes scheduler that optimizes GPU resource allocation for AI and machine learning workloads.

Your AI skills and agents, finally organized.

Model export recipes, Python primitives, and Swift runtime utilities for building on-device AI with Core AI.

本项目是基于吴恩达老师在 DeepLearning.AI 平台推出的 agent-skills-with-anthropic 系列课程的中文学习资料整理项目。我们致力于为中文学习者提供高质量的课程内容翻译、系统的知识点梳理以及详细的示例代码解读,帮助大家更轻松地掌握 Agent Skills。

A collection of AI agent skills focused on resume optimization, job applications, and career development.

For more advanced capabilities and end-to-end machine learning, visit www.k-dense.ai.

upfetch is an advanced fetch client builder with standard schema validation, automatic response parsing, smart defaults and more.

📚 Check out the comprehensive docs with detailed guides, examples, and best practices!