"Information about Xcode development environment" matching MCP servers:

A Model Context Protocol server that enables seamless integration between Claude AI and development tools like VSCode, Augment, Vercel, Airtable, and Square.

Enables orchestrating external AI agents to execute development tasks with asynchronous management, automated acceptance verification, failure rework loops, and optional visual baseline validation.

Delegates tasks from an Anthropic-backed Claude Code session to Ollama-backed Claude Code sessions, allowing them to run side-by-side without sharing environment variables.

Provides AI assistants with real-time access to the AGNO framework documentation by enabling them to browse, search, and fetch documentation pages. This server allows users to query information about AGNO's Agents, Teams, and Workflows directly through MCP-compatible clients.

Acts as a personal AI development environment manager, enabling workspace bootstrapping, headless skill and bundle installation, global caching, and health diagnostics.

An MCP server that enables AI agents to interact with Modal, allowing them to deploy apps and run functions in a serverless cloud environment.

MCP server that bridges OpenAI's Agents SDK with Claude Code, enabling web search, file search, and computer use capabilities directly in your development environment.

Lets one Codex instance send a task to another Codex instance on a different computer, enabling symmetric host-to-host collaboration including projectless tasks and local environment dependent work.

Multi-Agent Development Agentic Network that enables AI-driven software development through specialized agents, interactive wizards, and structured debate, with MCP integration for IDE tools like workflow execution, impact analysis, and ecosystem search.

A persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.

A server that enables browser automation using Playwright, allowing interaction with web pages, capturing screenshots, and executing JavaScript in a browser environment through LLMs.

The AgentOps MCP server provides access to observability and tracing data for debugging complex AI agent runs. This adds crucial context about where the AI agent succeeds or fails.

A Model Context Protocol server that provides browser automation capabilities for creating and testing Autoconsent rules, enabling LLMs to interact with web pages and test consent management platforms in a real browser environment.

Hey @roocode community! I'm thrilled to share a project born from my work with Roocode and the vision of an AI-powered development team: the Anubis MCP Server! This system is heavily inspired by Roocode and designed to orchestrate an AI development workflow based on agile methodology. It simulates

MCP server enabling bidirectional messaging and collaborative development between DeepSeek Harness (DSH) sessions and ChatGPT desktop/Codex CLI sessions, with session ownership management and queued delivery.

An MCP server that enables AI coding agents to coordinate by sharing environment snapshots and diffs, surfacing overlapping work, exchanging debug-session messages, handing off tasks, and enforcing policy preflight checks.

Enables building, optimizing, reviewing, and running AI agents and skills, plus managing authorized work items, in Erstan's QA environment via OAuth-authenticated MCP.

Enables AI agent and task management using the CrewAI framework, allowing users to create and run agents and tasks in an automated workflow environment.

Enables access to agent instruction files and prompts for AI development workflows. Provides tools to retrieve and list development rules, security checks, and common prompts from an agents library through MCP protocol.

Enables websites to expose JavaScript functions as MCP tools, allowing AI agents to interact with the browser environment via a protocol and Chrome extension.

A server that enables AI models to access user geolocation information via EdgeOne Pages Functions through the Model Context Protocol.

A transparent message ferry between Claude Desktop and Claude Code CLI, enabling task delegation with any MCP configuration without the bridge needing to know about specific MCPs.

Provides a shared registry that lets MCP clients search remote/stdio MCP servers and A2A agents and retrieve their current capabilities, transports, addresses, and credential references. Consumers use the returned connection details to call the selected targets directly from their own environment.

A meta MCP server that orchestrates other MCP servers by lazily connecting to them and exposing their tools as JavaScript libraries. It allows users to execute JavaScript code that programmatically interacts with multiple MCP servers within a unified environment.

Codex Bridge MCP is a local MCP orchestration service for a stable Claude Code x Codex CLI development workflow.

Coordinates multiple Kilo Code agents via MCP, managing tasks, approvals, and verification across development environments like VS Code and Android Studio.

An open-source self-hosted browser agent that provides a dockerized browser environment for AI automation, allowing other AI apps and agents to perform human-like web browsing tasks through natural language instructions.

A professional AI agent system that provides 10+ specialized agents and 25+ MCP tools to support development workflows in Cursor IDE, with dual LLM mode support (built-in and DeepSeek API).

Enables AI agents to perform cryptocurrency trading operations on Binance exchange through 30 comprehensive tools supporting spot trading, futures contracts, options, account management, market data analysis, and risk control features. Provides enterprise-grade security with local encrypted API key storage and supports multiple account types with sandbox environment testing.

Enables Cursor agents to communicate via a shared chat room, allowing them to ask questions, share status, and warn about conflicts while collaborating on the same repo.