MCP Base CLI
Opinionated MCP server base class with Zod validation, decay, telemetry, and prompt-injection XML wrapping middleware. Every warehouse MCP server extends this. Per ADRs 0002, 0007, 0008.
Base package for creating Apprecio MCP servers with consistency
Resolve a URI relative to an optional base URI
mcp for npx
Core module for compound spring embedder based layout styles
Basic layout model and some utilities for Cytoscape.js layout extensions
Framework for building Model Context Protocol (MCP) servers in Typescript
Model Context Protocol implementation for TypeScript
Playwright Tools for MCP
Framework for rapidly creating high quality, server-side node.js applications, using plugins like building blocks
Turn a function into an `http.Agent` instance
Shared infrastructure for Transcend MCP Server packages.
abstract base class for crypto-streams
abstract base class for hash-streams
Help agents automatically write and test stories for your UI components
An arbitrary length integer library for Javascript
The official TypeScript library for the Cloudflare API
Run MCP stdio servers over SSE, Streamable HTTP or visa versa
A collection of React utility functions for Base UI.
A TypeScript SSE proxy for MCP servers that use stdio transport.
The set of Unicode symbols that can serve as a base for emoji modifiers, i.e. those with the `Emoji_Modifier_Base` property set to `Yes`.
Airbnb's base JS ESLint config, following our styleguide
A high-level API to control headless Chrome over the DevTools Protocol
CLI dev assistant powered by Kernex runtime
A CLI tool for browser automation via the Chrome DevTools Protocol
Delta Read Interception Proxy — sends only file diffs to your LLM agent
A cross-platform R console written in Rust
Codebase Graph + Vector RAG Indexer for Java, TypeScript, JavaScript, Kotlin, Rust, Python, Groovy, C/C++, Build Systems, and HTML/CSS codebases
A CLI tool for browser automation via the Chrome DevTools Protocol
Chrome DevTools Protocol CLI — auto-connects to existing Chrome
AI integration layer for DAA system with MCP protocol
HTTP bridge for inspecting and debugging Dioxus Desktop apps
MCP bridge for Rust UTCP - exposes UTCP tools as MCP tools
Production-ready Rust SDK for the Model Context Protocol (MCP) with multiple transport support
A2A (Agent2Agent) peer protocol for NeuroGrim — Brain-to-Brain communication (fractal composition + dual brain).
Make local MCP tools in Ruby and easily serve them.
A Ruby implementation of a Model Context Protocol (MCP) server using stdio transport.
A Model Context Protocol (MCP) server that provides access to the Hotwire Club knowledge base. Builds a searchable SQLite database from markdown documents and exposes MCP tools and resources for searching and browsing documentation, categories, tags, and documents.
Sinatra extension to create a Sinatra-based MCP web app backed by the Sequel ORM
A streamlined, production-focused toolkit for building MCP servers in Rails applications. Provides essential base classes, authentication gateways, and HTTP transport with minimal dependencies.
Yorishiro is a CLI-based LLM agent that supports multiple providers (Anthropic, OpenAI, Ollama), built-in tools for file operations and command execution, MCP server integration, and plan mode.
Kernai is an AI agent kernel based on a universal XML block protocol, enabling simple, dynamic, observable and fully controlled orchestration without external runtime dependencies. Ships with reference provider adapters for Anthropic, OpenAI and Ollama, native multimodal support, a workflow DAG scheduler, pluggable recorder sinks and an optional MCP (Model Context Protocol) bridge.
RobotLab is a Ruby framework for building and orchestrating multi-robot LLM workflows. Built on ruby_llm, it provides robots with template-based prompts, tools, and shared memory; networks for coordinating multiple robots with intelligent routing; MCP (Model Context Protocol) integration for external tool servers; and a memory system with Redis backend and semantic caching. Optional gems add Rails integration (robot_lab-rails), durable learning (robot_lab-durable), Ractor concurrency (robot_lab-ractor), and document storage (robot_lab-document_store).
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