Local implementation of claude-code-agent MCP server
Initialize Neon projects
Add MCP servers to your favorite coding agents with a single command.
An ACP-compatible coding agent powered by the Claude Agent SDK (TypeScript)
Playwright Tools for MCP
SDK for building AI agents with Claude Code's capabilities. Programmatically interact with Claude to build autonomous agents that can understand codebases, edit files, and execute workflows.
GitHub Copilot CLI brings the power of Copilot coding agent directly to your terminal.
Install SKILL.md files, MCP servers, and AGENTS.md guidance for any coding agent. Ships both a Node API and a CLI.
GitLab MCP server for projects, merge requests, issues, pipelines, wiki, releases, and more
A Model Context Protocol server implementation for Nx
MCP server for Chrome DevTools
MCP Apps SDK — Enable MCP servers to display interactive user interfaces in conversational clients.
Playwright CLI
HLIMS Agent MCP Server - stdio proxy for remote HLIMS MCP service (硬件中心实验室信息管理系统)
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MCP server for advanced web search using Tavily
MCP server exposing the Caelo CMS chat-runner as a `caelo_chat` tool. Lets Claude Code (or any MCP-aware client) drive a Caelo install from outside the browser.
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,
Develop and deploy code with zero configuration
An HTTP(s) proxy `http.Agent` implementation for HTTPS
MCP server for Agentation - visual feedback for AI coding agents
MCP server that exercises all the features of the MCP protocol
Help agents automatically write and test stories for your UI components
An HTTP(s) proxy `http.Agent` implementation for HTTP
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.
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.
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.
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