A comprehensive MCP server for task management and agent memories with JSON file storage
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,
MCP server for SAPUI5/OpenUI5 development
Playwright Tools for MCP
Apify MCP Server
GitHub Copilot CLI brings the power of Copilot coding agent directly to your terminal.
Model Context Protocol implementation for TypeScript
Security, cost, and health governance proxy for MCP infrastructure — three-layer detection engine (regex + schema + LLM), monorepo, corpus, CI/CD
Command-Line Interface for Firebase
Descope Express MCP SDK
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MCP-first devtools for AI agents.
Hud's Node SDK
A TypeScript implementation of a simple MCP server that exposes datetime information to agentic systems and chat REPLs
MCP server for web research
Playwright CLI
Model Context Protocol for Kendo UI for Angular
Model Context Protocol (MCP) server for AI-assisted development of CAP applications.
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`.
NestJS module for creating Model Context Protocol (MCP) servers
Dual-protocol payment infrastructure for autonomous AI commerce (AP2 + ACP)
The official TypeScript library for the LandingAI ADE API
MCP server that gives an agent the Agentic Diaries welfare protocol — decline, pass, exit, notice-loop, request-alignment, and more — in any Claude Code / Claude Desktop / MCP-capable session.
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.
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.
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.
ClaudeAgent is a Ruby SDK for building autonomous AI agents that interact with Claude Code CLI. It provides both simple one-shot queries and interactive bidirectional sessions with support for tool use, hooks, permissions, and in-process MCP servers.
Register AI agents, issue scoped tokens, enforce per-tool permissions, and query audit logs via the AgentsID API. Includes MCP middleware for validating tool calls in MCP servers.
Claude Swarm enables you to run multiple Claude Code instances that communicate with each other via MCP (Model Context Protocol). Create AI development teams where each instance has specialized roles, tools, and directory contexts. Define your swarm topology in simple YAML and let Claude instances collaborate across codebases. Perfect for complex projects requiring specialized AI agents for frontend, backend, testing, DevOps, or research tasks.
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.
An MCP (Model Context Protocol) server that provides LLM agents with access to runtime context of executing Ruby processes. Connect to debug sessions, evaluate code, inspect objects, and control execution flow via MCP tools.
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
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).
pikuri-core is the lean, audit-friendly foundation of the pikuri family: Pikuri::Agent (a thin wrapper around ruby_llm's chat loop) with its Configurator + Extension protocol, the strict Pikuri::Tool framework, a listener surface for rendering / budgets / sub-agents, and four bundled stateless tools (calculator, web search, web scrape, fetch). Extensions (skills, MCP, workspace, coding stack, named-agent personas) live in sibling gems so a privacy-conscious user can install just this core and audit a minimal dependency tree. For the convenience bundle that pulls in everything, see the +pikuri+ metagem.
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