MCP server for all Featurely SDK packages — gives AI assistants full knowledge of featurely-error-tracker, featurely-feature-reporter, featurely-site-manager, featurely-i18n, and featurely-logger
Model Context Protocol implementation for TypeScript
Playwright Tools for MCP
Help agents automatically write and test stories for your UI components
The official TypeScript library for the Cloudflare API
A TypeScript SSE proxy for MCP servers that use stdio transport.
A high-level API to control headless Chrome over the DevTools Protocol
MCP server for Chrome DevTools
MCP server for Context7
Advanced error tracking SDK for Featurely with breadcrumbs, device info, and complete context
MCP Apps SDK — Enable MCP servers to display interactive user interfaces in conversational clients.
Complete site management SDK for maintenance mode, status messages, feature flags, version checking, and analytics
A high-level API to control headless Chrome over the DevTools Protocol
mcp-ui Client SDK
A high-level API to automate web browsers
The official TypeScript library for the Turbopuffer API
No description provided.
A high-level API to automate web browsers
Command-Line Interface for Firebase
Model Context Protocol inspector
MCP server that serves knowledge about your components based on your Storybook stories and documentation
No description provided.
NestJS module for creating Model Context Protocol (MCP) servers
GitLab MCP server for projects, merge requests, issues, pipelines, wiki, releases, and more
A Ruby client for the Model Context Protocol (MCP) that seamlessly integrates with RubyLLM. Supports both native full-featured implementation and the official mcp-sdk gem. Connect to MCP servers via SSE, stdio, or HTTP transports, automatically convert MCP tools into RubyLLM-compatible tools, and enable AI models to interact with external data sources and services. Makes using MCP with RubyLLM as easy as possible.
A Ruby gem implementing the Model Context Protocol (MCP) server-side specification. Provides a framework for creating MCP servers that expose tools, resources, prompts, and roots to LLM clients with comprehensive security features, structured logging, and production-ready capabilities.
A comprehensive Ruby library for building Model Context Protocol (MCP) servers in Rails applications, featuring tools, resources, authentication, and real-time capabilities.
Add MCP tool serving to any Rails app. Write @rbs type annotations with predicate tags (@requires, @feature, or custom) and the gem compiles per-user JSON Schema automatically — filtering fields by permissions, feature flags, and plan tiers at request time.
Rails Active MCP enables secure Rails console access through Model Context Protocol (MCP) for AI agents and development tools like Claude Desktop. Provides safe database querying, model introspection, and code execution with comprehensive safety checks and audit logging. Features include: • Safe Ruby code execution with configurable safety checks • Read-only database query tools with result limiting • Rails model introspection (schema, associations, validations) • Dry-run code analysis for safety validation • Environment-specific configuration presets • Comprehensive audit logging and monitoring • Claude Desktop integration out of the box
An MCP (Model Context Protocol) server that provides browser automation tools for AI agents using Ferrum and headless Chrome. Features 25 tools covering navigation, screenshots, form interaction, JavaScript evaluation, cookies, file downloads, and multi-session management.
Transform mathematical images to LaTeX, chemistry structures to SMILES, and documents to markdown with security-first design. Features HTTPS enforcement, path traversal protection, structured logging, and complete MCP (Model Context Protocol) server integration. The geodesic path to mathematical OCR in Ruby.
FerrumMCP is a browser automation server that implements the Model Context Protocol (MCP), enabling AI assistants to interact with web pages through a standardized interface. Features include navigation, form interaction, content extraction, screenshot capture, JavaScript execution, cookie management, and advanced capabilities like smart cookie banner detection and AI-powered CAPTCHA solving.
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.
pikuri-subagents owns the sub-agent (delegation) feature top to bottom: the +Pikuri::SubAgent::SubAgentTool+ class (exposed to the LLM as the +agent+ tool), the +Persona+ record, the +Extension+ that wires it onto an agent, and the bundled +Pikuri::SubAgent::RESEARCHER+ persona (network-read only). Hosts that want sub-agents add this gem as a runtime dep and call +c.add_extension Pikuri::SubAgent::Extension.new(personas: [...])+ inside their +Agent.new+ block — same opt-in shape as +pikuri-skills+ / +pikuri-mcp+. Also ships +bin/pikuri-minions+ as a fan-out delegation demo.