Prove and compare the AI CLIs you already installed from one command surface or one MCP setup
Agentic MCP - Three-layer progressive disclosure for MCP servers with Socket daemon
Agentic MCP server for aggregating jobs into Airtable via any MCP client
Synapse CLI - Agentic MCP Server Generator
Agentic MCP Server with advanced AI capabilities including web search, summarization, database querying, and customer support. Built by the Agentics Foundation to enhance AI agents with powerful tools for research, content generation, and data analysis.
Agentic MCP server for WordPress Elementor — multi-site management, safe Elementor data editing, template import/export, CSS flush, version tracking. Built for agencies running many client sites.
Production-ready AI agent orchestration platform with 66 specialized agents, 213 MCP tools, ReasoningBank learning memory, and autonomous multi-agent swarms. Built by @ruvnet with Claude Agent SDK, neural networks, memory persistence, GitHub integration,
Playwright Tools for MCP
GitHub Copilot CLI brings the power of Copilot coding agent directly to your terminal.
MCP server for SAPUI5/OpenUI5 development
Apify MCP Server
Playwright CLI
Security, cost, and health governance proxy for MCP infrastructure — three-layer detection engine (regex + schema + LLM), monorepo, corpus, CI/CD
Agentic SDK for exposing tools from an MCP client in a way that easily interops with all TypeScript AI SDKs.
Dual-protocol payment infrastructure for autonomous AI commerce (AP2 + ACP)
The official TypeScript library for the LandingAI ADE API
MCP server that lets AI agents shop on Kiuki — the UK grocery marketplace with AI shopping built in. Search products, build multi-vendor carts, and place orders via the Kiuki Agentic Commerce API.
ClickUp MCP Server - Powering AI Agents with full ClickUp task, document, and chat management capabilities.
Descope Express MCP SDK
Cloud and zero-trust agentic workflow marketplace for skills, agents, rules, MCP references, and compliance-aware architecture.
MCP-first devtools for AI agents.
Atlas catalog graph data, SDK, and CLI.
Anthropic Sandbox Runtime (ASRT) - A general-purpose tool for wrapping security boundaries around arbitrary processes
🚀 AI-Powered Swarm Intelligence Platform - Gamified MCP Development with 70+ Tools
Unified MCP server for all agentic-tools
MCP (Model Context Protocol) client for tool integration
DEPRECATED: Use agentic-tools-* crates and agentic-mcp instead. Core runtime library for Universal Tool Framework.
DEPRECATED: Use agentic-tools-* crates and agentic-mcp instead. Procedural macros for Universal Tool Framework.
Review tools for agentic-mcp: diff snapshots, lens-based review, pagination
Build AI agents with declarative DSL and Model Context Protocol support
Lightweight gem, tested in large Rails codebases (20k+ Ruby files). Allows AI assistants to evaluate and verify rails/ruby code changes securely at lighting-speed access without the need to restart server or run bundler.
Rails Engine that captures exceptions, stores them in your database with rich context, and exposes error data via a bundled MCP server so AI agents can triage, resolve, and fix errors autonomously.
Embeds a FOSM-aware MCP server and ACP agent into your Rails development environment, giving coding agents (Claude Code, Codex, Copilot) runtime intelligence: database queries, logs, code evaluation, and deep introspection of FOSM lifecycle definitions, state machines, transitions, guards, and audit trails. Built on the FOSM (Finite Object State Machine) paradigm — declarative lifecycles for business objects where AI agents operate within bounded, auditable state machines.
rails-ai-context turns your running Rails app into the source of truth for AI coding assistants. Instead of guessing from training data or stale file reads, agents query 38 live tools (via MCP server or CLI) to get your actual schema, associations, routes, inherited filters, conventions, and test patterns. Semantic validation catches cross-file errors (wrong columns, missing partials, broken routes) before code runs — so AI writes correct code on the first try. Auto-generates context files for Claude Code, Cursor, GitHub Copilot, OpenCode, and Codex CLI. Works standalone or in-Gemfile.
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.
Encrypted local vault for secrets with MCP server for AI agents. No cloud required. Powers credentials management at inventlist.com.
pikuri-mcp adds Model Context Protocol support to pikuri-core agents: a +Pikuri::Mcp::Registry+ for declaring stdio + HTTP MCP servers, the +Pikuri::Mcp::Servers+ runtime that spawns them, a +Pikuri::Mcp::Synthesizer+ that LLM-fills missing server descriptions, a +Pikuri::Mcp::Verifier+ that screens server surfaces for prompt-injection patterns before any tool is advertised to the LLM, and a +Pikuri::Mcp::Extension+ that wires everything into a +Pikuri::Agent+ via +c.add_extension(...)+ in the +Agent.new+ block.
SwarmSDK is a complete reimagining of Claude Swarm that runs all AI agents in a single process using RubyLLM for LLM interactions. Define collaborative AI agents in simple Markdown files with YAML frontmatter, and orchestrate them without the overhead of multiple processes or MCP inter-process communication. Perfect for building lightweight, efficient AI agent teams with specialized roles and capabilities.
A Model Context Protocol (MCP) server that enables AI agents to query information about gems in a Ruby project's Gemfile, including source code and metadata.
Agentf is a Ruby-native multi-agent workflow engine with an ORCHESTRATOR, role-specialized agents, provider adapters (OpenCode/Copilot), and Redis-backed semantic, episodic, and graph-style memory. It includes a unified CLI, MCP server tools, and install/update workflows for generated agent/command manifests.
A Model Context Protocol (MCP) server that allows AI agents to start, stop, and monitor Rails development servers
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