Playwright Tools for MCP
Model Context Protocol implementation for TypeScript
Command-Line Interface for Firebase
A TypeScript SSE proxy for MCP servers that use stdio transport.
A high-level API to control headless Chrome over the DevTools Protocol
Help agents automatically write and test stories for your UI components
The official TypeScript library for the Cloudflare API
MCP server for Chrome DevTools
Add MCP servers to your favorite coding agents with a single command.
MCP server for Context7
ActiveRecord-style API for IndexedDB with TypeScript support
A high-level API to control headless Chrome over the DevTools Protocol
MCP Apps SDK — Enable MCP servers to display interactive user interfaces in conversational clients.
mcp-ui Client SDK
The official TypeScript library for the Turbopuffer API
The **Model Context Protocol (MCP) client** for the [AI SDK](https://ai-sdk.dev/docs) lets you connect to MCP servers and use their tools with AI SDK functions like `generateText` and `streamText`.
A high-level API to automate web browsers
A high-level API to automate web browsers
Model Context Protocol inspector
Mastra supports the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/docs/getting-started/intro), an open standard for connecting AI agents to external tools and resources. It serves as a universal plugin system, enabling agents to call tool
MCP server that serves knowledge about your components based on your Storybook stories and documentation
Check password strength against several rules. Includes ActiveRecord/ActiveModel support.
mcp-ui Server SDK
No description provided.
A Rails Engine that implements a Model Context Protocol (MCP) server using HTTP-only Streamable HTTP transport. Provides built-in ActiveRecord query tools with configurable database roles, field filtering, and OAuth 2.1 + PKCE auth via Doorkeeper.
A generic Ruby gem that auto-discovers ActiveRecord models and provides read-only query tools via the Model Context Protocol (MCP) for Claude Desktop integration.
llm.rb is Ruby's most capable AI runtime. It runs on Ruby's standard library by default. loads optional pieces only when needed, and offers a single runtime for providers, agents, tools, skills, MCP, A2A (Agent2Agent), RAG (vector stores & embeddings), streaming, files, and persisted state. As a bonus, llm.rb is also available for mruby. It supports OpenAI, OpenAI-compatible endpoints, Anthropic, Google Gemini, DeepSeek, xAI, Z.ai, AWS Bedrock, Ollama, and llama.cpp. It also includes built-in ActiveRecord and Sequel support, plus concurrent tool execution through threads, tasks (via async gem), fibers, ractors, and fork (via xchan.rb gem).
Rails-AI-Bridge introspects your Rails application and exposes structure to AI assistants via static context files and a live Model Context Protocol (MCP) server. It classifies Active Record models semantically (Core, Join, Supporting), optionally surfaces non-ActiveRecord Ruby classes under app/models (tagged POJO/Service), and integrates with editors and assistants such as Claude, Gemini, Cursor, and Windsurf.
RailsLLM integrates the llm.rb runtime and its features into Rails. RailsLLM extends the builtin ActiveRecord support available to the llm.rb runtime with a Rails integration that includes generators for getting set up quickly, and an engine for a stream-capable chat interface that can be extended with your own tools. The llm.rb runtime runs on Ruby's standard library by default. loads optional pieces only when needed, and offers a single runtime for providers, agents, tools, skills, MCP, A2A (Agent2Agent), RAG (vector stores & embeddings), streaming, files, and persisted state.